2b:I[349676,["/_next/static/chunks/0cl6uehw0enw3.js","/_next/static/chunks/3_6526nire2s6.js","/_next/static/chunks/0sionvc70biiq.js","/_next/static/chunks/34vs1gv113pnw.js","/_next/static/chunks/3wpd2zkry5i8e.js","/_next/static/chunks/2xlitpxgknj4d.js","/_next/static/chunks/3d86yrwyuv975.js","/_next/static/chunks/3d68de5d26hqc.js","/_next/static/chunks/1karddyjodb23.js","/_next/static/chunks/0jra3p7uo4paw.js","/_next/static/chunks/0exuabbx335_3.js","/_next/static/chunks/3vho_labywtbi.js","/_next/static/chunks/3fetwqu_xkhdr.js","/_next/static/chunks/2tz46qsvdi4_s.js","/_next/static/chunks/0eownduo8if6q.js","/_next/static/chunks/0t6wdu82lwsb6.js","/_next/static/chunks/0pj1uxlo662q1.js","/_next/static/chunks/3-_4lshzcl0_b.js","/_next/static/chunks/38p_c_gswi2y7.js","/_next/static/chunks/02-o2ucepmr15.js","/_next/static/chunks/2nmrd6y_krigz.js","/_next/static/chunks/3uj2kj3yj9qja.js","/_next/static/chunks/1ki-susjhwxg5.js","/_next/static/chunks/2var-d5nnd5s-.js","/_next/static/chunks/1pg9b9s_o-pkl.js","/_next/static/chunks/3bznnjt--6equ.js","/_next/static/chunks/2ki1ec-w7jmw9.js"],"default"] 28:["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Главная\",\"item\":\"https://www.workaem.com\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Вакансии\",\"item\":\"https://www.workaem.com/jobs\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Вакансии data engineer\",\"item\":\"https://www.workaem.com/jobs/l/data-engineer\"}]}"}}] 2c:Tbd6,ABOUT DATAFOLD Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives. We partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations. ABOUT THE ROLE Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership. As a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery. Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants. WHAT YOU'LL DO - Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff - Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound - Configure Datafold's Migration Agent and oversee the migration execution - Partner with Datafold's engineering team to execute migrations - Help refine and scale our product and delivery playbook as the team grows WHAT WE'RE LOOKING FOR - 3–6 years in data consulting, professional services, or a customer-facing data engineering role - Excellent communication skills — equally comfortable in an exec check-in and a technical design session - Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing) - Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told - AI power user — using AI every day and always learning and improving on how to use it more effectively - Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.2d:Tbe8,About the role You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people. What you'll do • Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams. • Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization. • Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business. What you'll own • Own projects end to end, from stakeholder alignment and design review through implementation, launch, and ongoing support. • Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added. • Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized. • Optimize Spark jobs end to end, cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta). • Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure, security policies, resources, and access, responding to failures and performance issues. • Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII. What makes you a strong fit • Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala). • Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics. • Experience with Delta Lake and lakehouse architectures, including performance optimization. • Proven ownership, you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain. • Experience writing clean, testable, maintainable code with Git-based version control. • Experience with infrastructure-as-code such as Terraform or Ansible is a plus, not required, and easy to pick up on the job. What we offer Ownership and flexibility • Stock option plan, four-year vesting with a 25% cliff after the first year • Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) • Company-provided tools and equipment • Office in Bonifacio Global City, Manila, a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off • Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits • Access to an internal mental health support specialist • 22 vacation days, Philippine public holidays, and 15 sick days • 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support • Relocation support for you, your family, including2e:T13b3,Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Прайсинг — строит и развивает аналитическое хранилище продукта "Платформа Ценообразования". В зоне ответственности команды 4 продукта разной направленности: аналитика, бекенд, ML. Обязанности: • Проектировать и разрабатывать пайплайны загрузки данных. Делать это оптимально в зависимости от потребностей команд потребителей; • Проектировать загрузку данных, раскладку по слоям, витрины в ClickHouse: выбор движка таблиц, ключей сортировки и партиционирования, ключей шардирования и репликации; • Оптимизировать запросы и хранение: разбираться, почему запрос медленный или таблица растёт быстрее ожидаемого, и чинить это; • Разрабатывать и поддерживать DAGи в Airflow: идемпотентность, ретраи, бэкфиллы, зависимости между задачами; • Обеспечивать качество данных: проверки по полноте и консистентности, сверки между системами, алертинг и мониторинг пайплайнов; • Работать напрямую с продуктовыми командами и аналитиками: разбирать требования, договариваться о контрактах данных, объяснять ограничения и предлагать варианты. Требования: • Опыт работы с ClickHouse (это ключевой навык для данной позиции. Необходимо уметь идентифицировать проблемы на кластере, понимать как работать с распределенной БД, как оптимально собрать пайплайны, чтобы не убить кластер); • Уверенный SQL, работа с большими объёмами (у нас есть таблицы 50+ Tb); • владеете Python для разработки пайплайнов, а иногда даже бекенда на FastAPI; • Опыт работы с Apache Airflow (опыт разработки и эксплуатации DAGов в проде, понимание идемпотентности и бэкфиллов); • Опыт работы с Apache Kafka (понимание модели (топики, партиции, консьюмер-группы, оффсеты, семантика доставки), опыт построения загрузки из Kafka в хранилище) • Опыт интеграции данных из REST API и реляционных БД (PostgreSQL и аналоги), включая инкрементальную загрузку и работу с изменениями данных. Условия: • Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; • Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; • Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; • Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; • Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; • Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.2f:Tc9b,

Вам предстоит заниматься:

заниматься построением многоуровневой автоматизированной аналитической платформы данных, интерактивной отчетности и предиктивной аналитики по корпоративным клиентам;
анализировать системы источников;
выстраивать модели данных, справочников, витрин, процессов загрузок, ролевой модели, проверять на качество данных, разрабатывать отчеты;
автоматизировать загрузку данных из большого числа различных внешних источников;
разрабатывать аналитические витрины, Оlap-кубы, ETL;
визуализировать на BI Visiology;
выпускать и обновлять регулярную и ad-hoc отчетность в разных форматах для руководства и филиалов;
поддерживать процессы сбора информации и планирования по филиалам и подразделениям;
участвовать в проектах с использованием ИИ.

Вам подойдет вакансия, если у Вас есть:

высшее образование;
продвинутые навыки в разработке хранилищ данных;
практический опыт работы с SQL, DWH, Apache Airflow, PostgreSQL, Oracle, MS SQL Server, Olap, ClickHouse, Python, Pandas, NumPy, Dbeaver, Spark, Greenplum, ETL, Java, BI.

Мы предлагаем:

Работу в комфортабельном офисе с верандой в Москва-Сити (IQ-квартал).
Широкий набор льгот и преференций для работников:

ДМС со стоматологией с первого месяца работы;
страхование жизни и страхование от несчастных случаев;
консультационную поддержку психолога (кабинет);
услуги медицинского кабинета;
карьерное консультирование;
возможность участия в спортивных и корпоративных мероприятиях;
скидки от партнёров;
доступ к корпоративной онлайн-библиотеке.

Возможности для профессионального обучения и развития.

30:T1bf0,

Мы строим корпоративную дата-платформу следующего уровня. Это новый сервис с амбициозной задачей: трансформировать наработки компании в единое стандартизированное решение для работы с данными. Отказываемся от легаси, проектируем архитектуру заново, сохраняем лучшее (например, Apache Spark), и постепенно переносим существующие пайплайны на новую платформу.

С нуля — это не «начать с чистого листа», это возможность заложить фундамент, который будет надёжным, масштабируемым и понятным десяткам инженерных команд. Именно сейчас мы переопределяем техстек, архитектурные подходы, процессы. И именно сейчас у тебя есть шанс поучаствовать в запуске платформы, куда будут стекаться все корпоративные данные.

Что предстоит делать:

Разрабатывать с нуля MVP новой дата-платформы и инфраструктуры для ingest/transform;
Мигрировать существующие пайплайны с Hadoop/HDFS на новую архитектуру (S3, Kafka, Spark, ClickHouse);
Работать с большими объёмами данных и высоконагруженными Kafka-топиками;
Строить отказоустойчивые пайплайны обработки и доставки данных;
Участвовать в архитектурных решениях, внедрять best practices хранения, мониторинга и качества данных;
Проектировать витрины данных под продуктовую и управленческую аналитику (OLAP);
Сопровождать миграцию BI-отчётов на новую платформу (например, DataLens, Power BI).

Почему это интересно:

Ты действительно будешь создавать платформу с нуля — не “настроил Airflow и готово”, а архитектура верхнего уровня с безопасностью, мониторингом и многопользовательской нагрузкой;
Прямое влияние на технологический курс всей компании: твои решения будут использовать десятки команд;
Работа с современным стеком: Spark 3+, Kafka, S3, ClickHouse, и BI-инструментами;
Возможность реализовать техрешения, которые трудно было бы внедрить в рамках существующего кода/подходов;
Технический вызов: миграция с Hadoop, масштабируемость, отказоустойчивость, строгие SLA на доставку данных.

Мы будем рады специалисту, который:

Имеет 3+ лет опыта на позиции Data Engineer / Big Data Engineer;
Имеет опыт работы с высоконагруженной Kafka (десятки/сотни тысяч событий);
Хорошо понимает, как работает Spark и умеет его готовить;
Работал с ClickHouse и знает, как «выжать» из него максимум;
Знаком с построением дата-архитектуры (DWH, Lake, OLAP, ETL/ELT, Data Goverments);
Умеет проектировать пайплайны под отказоустойчивость;
Хорошо владеет одним из языков программирования;
Знает SQL и может читать логику отчетов без боли.

Плюсом будут:

Опыт построения дата-платформ (SelfService инструменты и процессы);
Знание инструментов мониторинга и автоматического контроля качества данных (Data Quality, Data contracts);
Опыт построения Data Lineage и работа с Data Catalog;
Инфраструктурный опыт: Docker, Kubernetes, CI/CD.

Как мы работаем:

Не боимся убирать легаси — мы осознанно избавляемся от устаревших решений;
Оцениваем эффективность не по объёму кода, а по бизнес-ценности;
Любим, когда инженер предлагает нестандартные, но обоснованные решения;
Верим, что архитектура важна, если её понимают (human-friendly документация — мастхэв);
Умеем договариваться — и с бизнесом, и между собой.

Что мы предлагаем:

2ГИС — аккредитованная IT-компания;
У нас можно работать удалённо. Для нас важен специалист, а не его локация. Если хочешь работать в гибридном формате, у нас есть офисы в Москве, Санкт-Петербурге, два классных офиса в Новосибирске;
Само собой, полностью белая зарплата. Дополнительные дни отпуска за стаж работы в компании;
Заботимся о здоровье: ДМС и возможность получать онлайн-консультации и терапевта, невролога, психолога и медицинского агента;
Если хочешь делиться своим опытом, мы только за — поможем с выступлениями на конференциях и статьями для Хабра;
Есть собственный учебный центр: курсы, тренинги и книги для прокачки скиллов.

31:T1152,

В Департамент ИТ блока «Корпоративно-инвестиционный бизнес» в команду «1,5 КГ отличного ЮЛ» открыта позиция Дата инженера.

Мы занимаемся анализом жизненного цикла Клиента в Банке, а также оценкой и прогнозом его финансового положения.

Текущая реализация на микросервисной архитектуре.

У Вас будет возможность поработать с богатыми и интересными данными. Стать частью быстрорастущего DS сообщества Сбербанка. Возможность писать на современном стеке (Python + Spark) и проникнуться всеми нюансами работы в большой технологической компании.

Обязанности

взаимодействие с PO и аналитиками для согласования требований
проектирование и разработка аналитических витрин данных
конфигурирование сборки, поставки на стенд, витрин данных и интеграций (API, ТФС)
определение очередности расчетов
разработка и поддержка спецификаций
проведение интеграционного, unit, регрессионного тестирования
мониторинг и оптимизация работы витрины: взаимодействие с сопровождением hadoop кластера и разработчиками Core-сервисов.

Требования

опыт работы дата-инженером от 2 лет
опыт работы с Hadoop и Apache Spark Scala
отличные знания SQL (JOINы, агрегаты, группировки, вложенные запросы, индексы, оконные функции)
знание основных алгоритмов и структур данных
опыт разработки в парадигме ООП, знаете его основные принципы
знание форматов данных: сsv, json, yaml, parquet
знание OLTP, OLAP, ACID, Теорема CAP
понимание процессов ETL, ELT
знание инструментов для организации и автоматизации работы: IDE, Git, Jira, Confluence.

Приветствуется:

навыки работы с CI/CD
знание bash: базовые команды для работы с файлами и процессами, знаете как происходит процесс подключения к нодам - нужно для работы на кластере
представление о монолитных и распределенных системах: знаете принципы их работы и отличия, цели применения
навыки работы с генеративными AI-моделями.

Условия

комфортный современный офис рядом с м. Кутузовская, формат работы - офис
оформление на декретную ставку
корпоративный спортзал и зоны отдыха
более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
бесплатная подписка Прайм
вознаграждение за рекомендацию друзей в команду Сбера.

32:T941,Чем предстоит заниматься:

Разрабатывать сервисы потокового (real-time) расчета признаков (фичей) для моделей машинного обучения;
Разрабатывать сервисы векторизации - вычисление embedding-векторов и сохранение в векторном хранилище;
Создавать витрины данных для моделей машинного обучения;
Взаимодействовать со специалистами по анализу данных и специалистами по развитию инфраструктуры.

Наши пожелания к кандидатам:

Знание инструментов для обработки больших массивов данных: SQL, Python;
Хорошие знания платформы Apache Spark Structured Streaming и/или Apache Flink;
Понимание принципов потоковой обработки данных;
Знание и опыт использования платформы потоковой обработки данных Apache Kafka.

Что мы предлагаем:

Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования;
Пятидневную рабочую неделю по графику 5/2. Возможен удаленный или гибридный формат работы;
Работа в офисном пространстве нового поколения;
ДМС со стоматологией, страхованием жизни и страхованием выезжающих за рубеж с первого дня трудоустройства;
Профессиональный рост: тренинги в Альфа-Академии, вебинары, доступ к бесплатным корпоративным библиотекам;
Скидки и льготы на услуги банка и компаний-партнеров.

33:Tcb1,

Ozon Банк расширяется, поэтому мы ищем Старшего дата инженера в команду платформы данных. Специалисты автоматизируют ETL-процессы, разрабатывают компонентные решения для аналитиков и внедряют новые инструменты работы с данными.

Всё это необходимо, чтобы правильно и быстро реагировать на изменяющиеся потребности бизнеса, оптимизировать процессы и создавать мощную основу для принятия стратегических решений.

Наш стек: Python, Airflow, ClickHouse, PostgreSQL, Vertica, Kafka, S3, Spark, Hadoop, FastApi, Flask, Kubernetes, Helm, Superset, Prometheus, Grafana, GitLab, Jira, Confluence.

Вам предстоит:

разрабатывать инструменты доставки данных
проектировать и реализовывать фабрики пайплайнов
обновлять актуальные данные и следить за их своевременным поступлением
строить систему качества данных
обучать аналитиков и дата-сайентистов современным практикам работы с данными
настраивать и поддерживать системы мониторинга и алертинга

Для нас важно, что вы:

более 3 лет работаете на языке Python
более 3 лет работаете дата-инженером — знаете Apache Spark (PySpark), понимаете принципы работы СУБД и умеете оптимизировать запросы
знаете, как работать с ClickHouse, PostgreSQL, Vertica
понимаете принципы работы хранилища данных
умеете писать компоненты Airflow
поддерживаете порядок в коде, Git и документации
тестируете свои решения при помощи Pytest
умеете и любите быстро учиться, сразу применяете новые знания можете самостоятельно находить ответы на сложные вопросы
имеете высшее техническое образование

Будет плюсом, если вы:

умеете работать с Kubernetes, Prometheus, Superset, Helm, FastApi, Flask
имеете опыт общения с аналитиками и дата-сайентистами

34:T12c5,Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram. About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. We are seeking skilled engineers to build scalable distributed systems and integrate agentic AI and conversational analytics. As a Senior Staff Engineer, you will lead the architecture, data modeling, and core infrastructure powering our next-generation AI and analytics platforms. Role and Responsibilities • Architect, develop, and deploy global-scale distributed platforms and pipelines for massive data ingestion, transformation, and analytical reporting. • Design and refine backend infrastructure supporting Agentic AI workflows, autonomous systems, and conversational analytics with natural language interfaces. • Partner with application teams to define data strategies and durable conceptual models spanning OLTP/OLAP and generative AI architectures (e.g., RAG). • Evaluate data integration challenges and deliver optimized architectural solutions for complex business requirements. • Research emerging AI techniques and advanced machine learning methodologies to continuously enhance data design patterns. • Provide technical leadership and mentorship across the project lifecycle, focusing on efficient data modeling, prompt engineering, and high-performance data access services. Qualifications • At least 8 years of hands-on experience in architecture, design, or development of enterprise data solutions, applications, and integrations. • Proven experience designing and deploying Agentic AI systems and working with AI application frameworks. • Strong communication, presentation, and interpersonal skills with the ability to articulate complex concepts clearly. • Bachelor or Master degree in STEM majors. • Strong algorithms, data structures, and coding background with either Java, Python, or Scala programming experience (Python highly preferred for AI/ML ecosystem compatibility). • Exceptional proficiency in SQL, alongside familiarity with semantic search and Natural Language to SQL paradigms. • Experience building products using at least 1 of each of the following distributed technologies: - Relational Stores (i.e. Postgres, MySQL, or Oracle) - Columnar, NoSQL, or Vector Stores (i.e. Starrocks, Clickhouse, BigQuery, Pinecone or pgvector) - Distributed Processing Engines (i.e. Apache Spark, Apache Flink) - Distributed Queues (i.e. Apache Kafka, AWS Kinesis, or GCP PubSub) • Experience with software engineering standard methodologies (e.g., unit testing, code reviews, design documents). • Experience working with GCP, Azure, AWS, or similar cloud platform technologies. #LI-SC3 Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.35:T1690,About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE We are looking for our first Data Engineer to build Teleport's internal data platform. You will design and own the pipelines and warehouse that turn raw data from across the company, including product usage, production costs, budgets, and sales, into data that any team can use to answer their own questions. You will work closely with teams across the company, including product, engineering, finance, and revenue, to understand their data needs and deliver reliable, well-modeled data they can depend on. WHAT YOU'LL DO - Design and build data pipelines that ingest data from a variety of internal sources into a central warehouse. - Design data models and schemas that are performant, well-documented, and can evolve as our data and questions change. - Build data quality checks and validation into every stage of the pipeline so that bad data fails loudly instead of quietly reaching downstream tables. - Handle sensitive data responsibly, including access control, redaction, and retention policy for data containing customer or user information. - Partner with stakeholders across the company to scope new data sources and analytical tables, and help them get self-serve access to the data they need. WHAT WE'RE LOOKING FOR - Willingness to work collaboratively with Teleport's engineers on coding challenge in SQL / Go https://github.com/gravitational/careers/blob/7e7855c710113fcaa59e0f0a842b25167d28e373/challenges/data-engineer/challenge-1.mdas part of the interview process. - Builder mentality and experience — has built a data engineering function from scratch at a growing startup. - Expertise in data modeling and SQL. - Strong experience developing production code in Go. - Expertise building data pipelines in Python or Go. - Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar). - Pipeline orchestration or transformation tooling hands-on experience. - Experience handling sensitive data responsibly, including access control and data retention practices. - Intellectual curiosity and a willingness to master new technologies. - Comfortable changing the area of focus and working directly with stakeholders across the company. - No-ego mindset of collaboration, transparency, and seeking feedback from others. NICE TO HAVE - Go is your language of choice. - Mathematics or statistics background. - Knowledge of Airflow, dbt, or similar tools. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a coding challenge in SQL / Go https://github.com/gravitational/careers/blob/7e7855c710113fcaa59e0f0a842b25167d28e373/challenges/data-engineer/challenge-1.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/36:Tc03,ABOUT DATAFOLD Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives. We partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations. ABOUT THE ROLE Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership. As a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery. Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants. WHAT YOU'LL DO - Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff - Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound - Configure Datafold's Migration Agent and oversee the migration execution - Partner with Datafold's engineering team to execute migrations - Help refine and scale our product and delivery playbook as the team grows WHAT WE'RE LOOKING FOR - 3–6 years in data consulting, professional services, or a customer-facing data engineering role - Excellent communication skills — equally comfortable in an exec check-in and a technical design session - Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing) - Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told - AI power user — using AI every day and always learning and improving on how to use it more effectively - Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus COMPENSATION - Competitive salary + equity Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.37:T1876,We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities - Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. - Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. - Advocating for adopting industry tools and practices at the right time. - Owning core SQL and python data pipelines that power our data lake and data warehouse. - Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications - 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. - You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) - You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. - You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. - You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. - You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. - You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. - You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. - You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. - You are a champion for data privacy and integrity, and always act in the best interest of consumers. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here https://plaid.com/legal/#candidate-privacy-notice. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.29:["$","$L2b",null,{"category":{"slug":"data-engineer","aliases":["дата-инженер","инженер данных","data engineer"],"title":"Вакансии data engineer","description":"Инженер данных: пайплайны, хранилища, Spark, Airflow.","titleEn":"Data engineer jobs","descriptionEn":"Data engineers: pipelines, warehouses, Spark, Airflow.","filters":{"title_patterns":["data engineer","дата*инженер","инженер данных"]}},"jobs":[{"id":"b11f0a7c-0c20-4b23-a062-b91d74ac1d62","title":"Forward Deployed Data Engineer - Latin America","company":"Datafold","company_logo":null,"location":"South America","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":655000,"salary_est_max":1549000,"salary_est_sample":199,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"middle","description":"$2c","tags":[],"source":"company","source_url":"https://jobs.ashbyhq.com/datafold/efd1fb41-9c95-475a-94a2-313a196ebaa4","source_id":"board_ashby_datafold_efd1fb41-9c95-475a-94a2-313a196ebaa4","created_at":"2026-09-10T07:22:10.901+03:00","first_seen_at":"2026-09-11T03:29:00.819756+03:00","updated_at":"2026-09-11T03:28:38.34+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Не Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"tasks_detailed","tone":"good","label":"Работа расписана подробно","clause":"работа расписана подробно","detail":"В описании 8 пунктов обязанностей и 6 требований: круг задач очерчен, а не пересказан общими словами.","weight":7}],"level":null,"score":null,"summary":"Работа расписана подробно. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"9c9bd4c1-01f7-4f83-8750-bd000cc928e1","title":"Senior Data Engineer","company":"tabby","company_logo":null,"location":null,"salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":225000,"salary_est_max":460000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"remote","experience":"senior","description":"Remote work.\nTabby is a fintech BNPL (buy now, pay later) platform offering interest-free installment payments for shoppers in Saudi Arabia, UAE, and Kuwait.","tags":[],"source":"telegram","source_url":"https://t.me/remotegeekjob/41617","source_id":"tg_remotegeekjob_41617","created_at":"2026-09-10T19:00:58.985+03:00","first_seen_at":"2026-09-10T19:06:15.883235+03:00","updated_at":"2026-09-10T19:06:15.575+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":null,"industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"remote","tone":"good","label":"Удалёнка","detail":"Работа не требует присутствия в офисе.","weight":4}],"level":null,"score":null,"summary":"Вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":true},{"id":"49a9934a-ce8f-4937-83ea-7df7b507faca","title":"DATA ENGINEER","company":"Salmon","company_logo":null,"location":"Манила","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":200000,"salary_est_max":450000,"salary_est_sample":8,"salary_est_by_grade":false,"salary_est_basis":"role","job_type":"full_time","work_format":"hybrid","experience":"senior","description":"$2d","tags":[],"source":"telegram","source_url":"https://t.me/Relocats/5369","source_id":"tg_Relocats_5369","created_at":"2026-09-10T15:01:00.647+03:00","first_seen_at":"2026-09-10T15:01:12.90368+03:00","updated_at":"2026-09-10T15:01:12.462+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Филиппины","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"remote","tone":"good","label":"Удалёнка","detail":"Работа не требует присутствия в офисе.","weight":4}],"level":null,"score":null,"summary":"Вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"76a85186-3d0f-40ee-9c5d-68be0422d523","title":"Data Engineer Ценообразование ","company":"Wildberries","company_logo":null,"location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":140000,"salary_est_max":300000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"remote","experience":"middle","description":"$2e","tags":["Инфраструктура"],"source":"company","source_url":"https://career.rwb.ru/vacancies/39582","source_id":"wildberries_39582","created_at":"2026-09-10T15:00:58.154906+03:00","first_seen_at":"2026-09-10T15:00:58.154906+03:00","updated_at":"2026-09-10T15:00:58.053+03:00","is_active":true,"views_count":2,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":["E-commerce"],"company_type":"corporation","english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"tasks_detailed","tone":"good","label":"Работа расписана подробно","clause":"работа расписана подробно","detail":"В описании 6 пунктов обязанностей и 6 требований: круг задач очерчен, а не пересказан общими словами.","weight":7},{"key":"learning","tone":"good","label":"Вкладываются в обучение","clause":"готовы вкладываться в обучение","detail":"Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое","weight":6},{"key":"remote","tone":"good","label":"Удалёнка","detail":"Работа не требует присутствия в офисе.","weight":4}],"level":"mixed","score":57,"summary":"Работа расписана подробно, готовы вкладываться в обучение. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"ed75562c-9078-4f9e-bce0-cffdf9255d89","title":"Senior Data Engineer","company":"airSlate","company_logo":null,"location":null,"salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":225000,"salary_est_max":460000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"remote","experience":"senior","description":"О вакансии\n\nТребования к кандидату:\n- 3+ years of experience in data engineering\n- Python/Scala/Java proficiency\n- Data Processing (Apache Spark/Flink/Beam)\n- Pipeline orchestration (Apache Airflow/NiFi)\n- Experience with Message Brokers and streaming platforms\n- SQL/NoSQL database knowledge\n- Familiarity with Git/Docker/Kubernetes\n- Cloud experience (AWS/GCP/Azure)\n- Understanding of Data Privacy/Security\n- Knowledge of Algorithms/Data Structures/Data Modeling","tags":["Python","Java","Docker","Kubernetes","AWS","Git","Spark","Airflow"],"source":"telegram","source_url":"https://t.me/opento_data/876","source_id":"tg_opento_data_876","created_at":"2026-09-10T11:11:05.241+03:00","first_seen_at":"2026-09-10T11:11:19.15022+03:00","updated_at":"2026-09-10T11:11:18.662+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":null,"industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"demand_stack","tone":"good","label":"Востребованный навык","clause":"навык востребован (Python)","detail":"Python просят в 17% свежих вакансий каталога: с этим навыком следующую работу искать легче.","weight":8},{"key":"no_tasks","tone":"bad","label":"Обязанности не описаны","clause":"обязанности в описании не названы","detail":"Требований в тексте 10, а чем именно предстоит заниматься, не сказано.","weight":-8},{"key":"remote","tone":"good","label":"Удалёнка","detail":"Работа не требует присутствия в офисе.","weight":4},{"key":"demand_falling","tone":"neutral","label":"Спрос на навык падает","detail":"AWS за две недели стали просить на 77% реже, чем за предыдущие две. На саму вакансию это не влияет, но показывает, куда идёт рынок.","weight":0}],"level":"mixed","score":44,"summary":"Навык востребован (Python). Но вилки нет, про деньги придётся договариваться с нуля, обязанности в описании не названы."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"0a1ca18a-f681-4392-baff-73857f7d9b68","title":"Data Engineer (Аналитический центр транзакционного бизнеса)","company":"Россельхозбанк","company_logo":"https://img.hhcdn.ru/employer-logo-original-round/6775785.png","location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":140000,"salary_est_max":300000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"middle","description":"$2f","tags":["PostgreSQL","Oracle","MS SQL","Airflow","Python","Java","ClickHouse","Spark"],"source":"hh","source_url":"https://hh.ru/vacancy/137168729","source_id":"137168729","created_at":"2026-09-10T04:00:26.59+03:00","first_seen_at":"2026-09-10T04:00:26.594612+03:00","updated_at":"2026-09-22T04:01:10.354+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"high"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"paying_stack","tone":"good","label":"Хорошо оплачиваемый навык","clause":"за такой навык на рынке платят больше","detail":"Вакансии, где просят PostgreSQL, на этом грейде платят в среднем на 52% больше остальных. Это про рынок, а не про прибавку лично вам.","weight":8},{"key":"learning","tone":"good","label":"Вкладываются в обучение","clause":"готовы вкладываться в обучение","detail":"Возможности для профессионального обучения и развития","weight":6},{"key":"live","tone":"good","label":"Живая вакансия","detail":"По истории наблюдений похоже на реальный наём, а не на сбор базы резюме.","weight":6},{"key":"tasks_listed","tone":"good","label":"Задачи и требования перечислены","detail":"В описании 9 пунктов обязанностей и 3 требований: понять, что за работа, можно до отклика.","weight":4},{"key":"demand_falling","tone":"neutral","label":"Спрос на навык падает","detail":"Oracle за две недели стали просить на 52% реже, чем за предыдущие две. На саму вакансию это не влияет, но показывает, куда идёт рынок.","weight":0}],"level":"solid","score":64,"summary":"За такой навык на рынке платят больше, готовы вкладываться в обучение. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":null},{"id":"896c6179-8a33-4818-a6bf-5af2860c2b38","title":"Data Engineer, GTM","company":"Anthropic","company_logo":null,"location":"San Francisco, CA | New York City, NY","salary_min":26667,"salary_max":33750,"salary_currency":"USD","salary_est_min":null,"salary_est_max":null,"salary_est_sample":null,"salary_est_by_grade":null,"salary_est_basis":null,"job_type":"full_time","work_format":"office","experience":"middle","description":"","tags":[],"source":"company","source_url":"","source_id":null,"created_at":"2026-09-09T05:30:44+03:00","first_seen_at":"2026-09-10T03:27:48.161835+03:00","updated_at":"2026-09-10T03:26:59.924+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"США","industry":[],"company_type":null,"english_level":null,"has_relocation":true,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"salary_above","tone":"good","label":"Платят выше рынка","clause":"платят на 107% выше медианы грейда","detail":"Верх вилки на 107% выше медианы по этому грейду (1277 тыс ₽).","weight":18},{"key":"relocation","tone":"good","label":"Помогают с релокацией","detail":"Работодатель отметил готовность помочь с переездом.","weight":5}],"level":null,"score":null,"summary":"Платят на 107% выше медианы грейда."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"0a3125fc-8dfa-4b81-97ec-3ebb32fec717","title":"Senior Data Engineer","company":"Getitrussia","company_logo":null,"location":"Ереван","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":225000,"salary_est_max":460000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"senior","description":"- Опыт работы в роли Data Engineer от 5 лет.\n- PostgreSQL: написание сложных запросов, оптимизация\n- ClickHouse: опыт создания таблиц, материализованных представлений, распределенных запросов, оптимизация\n- Airflow: разработка DAG, использование операторов (Python, SQL, Sensor), управление зависимостями, настройка инфраструктуры\n- DBT: опыт написания моделей, макросов, тестов, документации, управление сборками\n- Python: умение писать поддерживаемый код (для кастомных операторов, скриптов обработки\n- Проектирование DWH: понимание схем (звезда, снежинка, Data Vault), опыт проектирования слоев ODS, DDS, DM\n- Опыт с Git, CI/CD для пайплайнов, знание Docker, Kubernetes, преимущество.\n- Опыт реализации решений для единого профиля клиента (Customer 360)/ кастомизация платформ.\n- Работа с брокерами, инструменты проверки качества (Great Expectations, Soda).\nПисать в ТГ @SueBrut\nСпасибо!","tags":["Python","Docker","Kubernetes","PostgreSQL","Git","ClickHouse","CI/CD","Airflow"],"source":"telegram","source_url":"https://t.me/Getitrussia/4366","source_id":"tg_Getitrussia_4366","created_at":"2026-09-09T19:11:17.662+03:00","first_seen_at":"2026-09-09T19:11:29.113519+03:00","updated_at":"2026-09-09T19:11:28.865+03:00","is_active":true,"views_count":1,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Армения","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"paying_stack","tone":"good","label":"Хорошо оплачиваемый навык","clause":"за такой навык на рынке платят больше","detail":"Вакансии, где просят Python, на этом грейде платят в среднем на 20% больше остальных. Это про рынок, а не про прибавку лично вам.","weight":8},{"key":"demand_falling","tone":"neutral","label":"Спрос на навык падает","detail":"Airflow за две недели стали просить на 50% реже, чем за предыдущие две. На саму вакансию это не влияет, но показывает, куда идёт рынок.","weight":0}],"level":"mixed","score":48,"summary":"За такой навык на рынке платят больше. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":"@SueBrut","variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"19ed4f63-621b-4330-a0fb-29b2ddbc52b9","title":"Senior Data Engineer (ML-направление)","company":"Ozon Банк","company_logo":null,"location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":225000,"salary_est_max":460000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"hybrid","experience":"senior","description":"Описание вакансии.\n\nУсловия:\n\nИщет Марк Паненко, его пост на LinkedIn.","tags":["ML"],"source":"telegram","source_url":"https://t.me/jobfortm/4918","source_id":"tg_jobfortm_4918","created_at":"2026-09-09T19:06:09.14+03:00","first_seen_at":"2026-09-09T19:11:29.113519+03:00","updated_at":"2026-09-09T19:11:28.865+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"scarce_paying","tone":"good","label":"Редкий и дорогой навык","clause":"навык редкий и дорогой (ML)","detail":"ML просят всего в 6% свежих вакансий каталога, но на этом грейде с ним платят на 35% больше. За такие места и конкуренция ниже, чем за массовый стек.","weight":10}],"level":null,"score":null,"summary":"Навык редкий и дорогой (ML). Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":true},{"id":"314d28c3-0e49-42b5-910c-97e629456e85","title":"Data engineer в команду SMT","company":"2ГИС","company_logo":"https://img.hhcdn.ru/employer-logo-original-round/5688467.jpeg","location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":235000,"salary_est_max":470000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"senior","description":"$30","tags":["Spark","Docker","Kubernetes","Kafka","ClickHouse","CI/CD","Hadoop","Airflow"],"source":"hh","source_url":"https://hh.ru/vacancy/137097688","source_id":"137097688","created_at":"2026-09-09T04:00:27.707+03:00","first_seen_at":"2026-09-09T04:00:27.711886+03:00","updated_at":"2026-09-22T04:01:10.354+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"high"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"scarce_paying","tone":"good","label":"Редкий и дорогой навык","clause":"навык редкий и дорогой (Kafka)","detail":"Kafka просят всего в 10% свежих вакансий каталога, но на этом грейде с ним платят на 16% больше. За такие места и конкуренция ниже, чем за массовый стек.","weight":10},{"key":"learning","tone":"good","label":"Вкладываются в обучение","clause":"готовы вкладываться в обучение","detail":"Если хочешь делиться своим опытом, мы только за — поможем с выступлениями на конференциях и статьями для Хабра","weight":6},{"key":"live","tone":"good","label":"Живая вакансия","detail":"По истории наблюдений похоже на реальный наём, а не на сбор базы резюме.","weight":6},{"key":"demand_falling","tone":"neutral","label":"Спрос на навык падает","detail":"Airflow за две недели стали просить на 50% реже, чем за предыдущие две. На саму вакансию это не влияет, но показывает, куда идёт рынок.","weight":0}],"level":"solid","score":62,"summary":"Навык редкий и дорогой (Kafka), готовы вкладываться в обучение. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"daa0b16a-f75e-4a7d-8036-47a501faeba0","title":"Дата инженер (Кредитные продукты и процессы)","company":"Сбер","company_logo":"https://img.hhcdn.ru/employer-logo-original-round/6865265.jpeg","location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":162000,"salary_est_max":335000,"salary_est_sample":34,"salary_est_by_grade":true,"salary_est_basis":"role_grade","job_type":"full_time","work_format":"office","experience":"middle","description":"$31","tags":["Hadoop","Spark","Python","AI","Git","CI/CD"],"source":"hh","source_url":"https://hh.ru/vacancy/137116221","source_id":"137116221","created_at":"2026-09-09T04:00:15.557+03:00","first_seen_at":"2026-09-09T04:00:15.561966+03:00","updated_at":"2026-09-09T04:00:15.557+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"scarce_paying","tone":"good","label":"Редкий и дорогой навык","clause":"навык редкий и дорогой (CI/CD)","detail":"CI/CD просят всего в 8% свежих вакансий каталога, но на этом грейде с ним платят на 40% больше. За такие места и конкуренция ниже, чем за массовый стек.","weight":10},{"key":"demand_rising","tone":"good","label":"Спрос на навык растёт","clause":"спрос на навык растёт (Hadoop)","detail":"Hadoop за две недели стали просить на 33% чаще, чем за предыдущие две. Считается доля в каталоге, а не число вакансий: сам каталог тоже растёт.","weight":6},{"key":"learning","tone":"good","label":"Вкладываются в обучение","clause":"готовы вкладываться в обучение","detail":"Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития","weight":6}],"level":"solid","score":62,"summary":"Навык редкий и дорогой (CI/CD), спрос на навык растёт (Hadoop). Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"9516e4f8-d77b-4134-8eb8-d1314ffb84e1","title":"Инженер данных","company":"Альфа-Банк","company_logo":"https://img.hhcdn.ru/employer-logo-original-round/3096623.png","location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":140000,"salary_est_max":300000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"middle","description":"$32","tags":["Python","Spark","Kafka"],"source":"hh","source_url":"https://hh.ru/vacancy/137110899","source_id":"137110899","created_at":"2026-09-09T04:00:03.381+03:00","first_seen_at":"2026-09-09T04:00:03.390083+03:00","updated_at":"2026-09-17T04:01:07.942+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"high"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"scarce_paying","tone":"good","label":"Редкий и дорогой навык","clause":"навык редкий и дорогой (Kafka)","detail":"Kafka просят всего в 10% свежих вакансий каталога, но на этом грейде с ним платят на 44% больше. За такие места и конкуренция ниже, чем за массовый стек.","weight":10},{"key":"live","tone":"good","label":"Живая вакансия","detail":"По истории наблюдений похоже на реальный наём, а не на сбор базы резюме.","weight":6},{"key":"demand_falling","tone":"neutral","label":"Спрос на навык падает","detail":"Python за две недели стали просить на 29% реже, чем за предыдущие две. На саму вакансию это не влияет, но показывает, куда идёт рынок.","weight":0}],"level":"mixed","score":56,"summary":"Навык редкий и дорогой (Kafka). Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"db243579-8c55-4117-9573-b2833e0937b1","title":"Data Engineer Intern","company":"Coinbase","company_logo":null,"location":"Hybrid - San Francisco, CA","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":1093000,"salary_est_max":2010000,"salary_est_sample":22,"salary_est_by_grade":false,"salary_est_basis":"role","job_type":"full_time","work_format":"hybrid","experience":"junior","description":"","tags":[],"source":"company","source_url":"","source_id":null,"created_at":"2026-09-09T01:19:13+03:00","first_seen_at":"2026-09-09T03:27:09.153915+03:00","updated_at":"2026-09-09T03:27:05.197+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"США","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10}],"level":null,"score":null,"summary":"Вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"0cf6e5ee-bf74-4423-b489-f413024f4ad3","title":"Старший инженер данных, Ozon Банк","company":"Ozon","company_logo":"https://img.hhcdn.ru/employer-logo-original-round/5899116.png","location":"Москва","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":235000,"salary_est_max":470000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"senior","description":"$33","tags":["PostgreSQL","ClickHouse","Airflow","Python","FastAPI","Kubernetes","Git","Kafka","Prometheus","Grafana","Hadoop","Spark"],"source":"hh","source_url":"https://hh.ru/vacancy/136073335","source_id":"136073335","created_at":"2026-09-08T04:00:10.884+03:00","first_seen_at":"2026-09-08T04:00:10.888941+03:00","updated_at":"2026-09-08T04:00:10.884+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"paying_stack","tone":"good","label":"Хорошо оплачиваемый навык","clause":"за такой навык на рынке платят больше","detail":"Вакансии, где просят Python, на этом грейде платят в среднем на 18% больше остальных. Это про рынок, а не про прибавку лично вам.","weight":8},{"key":"demand_rising","tone":"good","label":"Спрос на навык растёт","clause":"спрос на навык растёт (Hadoop)","detail":"Hadoop за две недели стали просить на 60% чаще, чем за предыдущие две. Считается доля в каталоге, а не число вакансий: сам каталог тоже растёт.","weight":6}],"level":"mixed","score":54,"summary":"За такой навык на рынке платят больше, спрос на навык растёт (Hadoop). Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":1,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"1bb79788-402e-4e5b-acc7-3207dc098825","title":"Sr. Staff Engineer, Data Engineering","company":"Netskope","company_logo":null,"location":"Taipei, Taiwan","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":225000,"salary_est_max":460000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"senior","description":"$34","tags":[],"source":"company","source_url":"https://www.netskope.com/company/careers/open-positions/?gh_jid=8184639","source_id":"board_greenhouse_netskope_8184639","created_at":"2026-09-07T09:57:11+03:00","first_seen_at":"2026-09-08T03:28:22.366801+03:00","updated_at":"2026-09-08T03:28:12.476+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Тайвань","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10}],"level":null,"score":null,"summary":"Вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"2aa7ae90-d470-41fd-860a-3a8fd422208b","title":"Middle+ / Senior Data Engineer","company":"Mycar Digital","company_logo":null,"location":"Алматы","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":225000,"salary_est_max":460000,"salary_est_sample":200,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"hybrid","experience":"senior","description":"Цифровой проект для автомобилистов: маркетплейс по продаже и покупке авто, автоматизация бизнес-процессов, автокредитование и дилерские центры.\n\nГибрид (Алматы, Казахстан).","tags":[],"source":"telegram","source_url":"https://t.me/foranalysts/10831","source_id":"tg_foranalysts_10831","created_at":"2026-09-07T15:05:31.182+03:00","first_seen_at":"2026-09-07T15:10:57.870418+03:00","updated_at":"2026-09-07T15:10:57.657+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Казахстан","industry":[],"company_type":null,"english_level":null,"has_relocation":false,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[{"key":"fresh","label":"Опубликована меньше двух недель назад","impact":-20},{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10}],"level":null,"score":null,"summary":"Вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":true},{"id":"ce6f1196-cad6-4a43-b30c-6e8ebc09d8c9","title":"Staff Data Engineer - US","company":"Teleport","company_logo":null,"location":"San Francisco Bay Area, CA","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":1093000,"salary_est_max":1895000,"salary_est_sample":15,"salary_est_by_grade":true,"salary_est_basis":"role_grade","job_type":"full_time","work_format":"office","experience":"senior","description":"$35","tags":[],"source":"company","source_url":"https://jobs.ashbyhq.com/goteleport/973e9912-d411-46d5-b6af-e38b9ff20eba","source_id":"board_ashby_goteleport_973e9912-d411-46d5-b6af-e38b9ff20eba","created_at":"2026-08-06T03:15:02.003+03:00","first_seen_at":"2026-09-06T10:26:22.826594+03:00","updated_at":"2026-09-06T10:25:54.88+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"США","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":6,"ghost_signals":{"items":[{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"tasks_detailed","tone":"good","label":"Работа расписана подробно","clause":"работа расписана подробно","detail":"В описании 7 пунктов обязанностей и 31 требований: круг задач очерчен, а не пересказан общими словами.","weight":7}],"level":null,"score":null,"summary":"Работа расписана подробно. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"1fa66791-63a5-4869-a29c-e2f9b34f496c","title":"Forward Deployed Data Engineer - EU","company":"Datafold","company_logo":null,"location":"Europe","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":655000,"salary_est_max":1549000,"salary_est_sample":199,"salary_est_by_grade":true,"salary_est_basis":"market_grade","job_type":"full_time","work_format":"office","experience":"middle","description":"$36","tags":[],"source":"company","source_url":"https://jobs.ashbyhq.com/datafold/5b68673e-e56b-429e-918c-4fa652f668ca","source_id":"board_ashby_datafold_5b68673e-e56b-429e-918c-4fa652f668ca","created_at":"2026-06-19T14:03:40.09+03:00","first_seen_at":"2026-09-06T10:26:22.393122+03:00","updated_at":"2026-09-06T10:25:54.859+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"Не Россия","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":6,"ghost_signals":{"items":[{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"tasks_detailed","tone":"good","label":"Работа расписана подробно","clause":"работа расписана подробно","detail":"В описании 8 пунктов обязанностей и 6 требований: круг задач очерчен, а не пересказан общими словами.","weight":7}],"level":null,"score":null,"summary":"Работа расписана подробно. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"be653ca1-9d18-4125-947f-8436b97fa088","title":"Senior Data Engineer","company":"Plaid","company_logo":null,"location":"New York City Office","salary_min":null,"salary_max":null,"salary_currency":"RUB","salary_est_min":1093000,"salary_est_max":1895000,"salary_est_sample":15,"salary_est_by_grade":true,"salary_est_basis":"role_grade","job_type":"full_time","work_format":"office","experience":"senior","description":"$37","tags":[],"source":"company","source_url":"https://jobs.ashbyhq.com/plaid/eeb094c3-da73-411e-8dda-b3f4ee397f97","source_id":"board_ashby_plaid_eeb094c3-da73-411e-8dda-b3f4ee397f97","created_at":"2026-09-03T03:40:25.842+03:00","first_seen_at":"2026-09-06T10:26:17.31431+03:00","updated_at":"2026-09-06T10:25:54.562+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"США","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":6,"ghost_signals":{"items":[{"key":"no_salary","label":"Вилка не указана","impact":6}],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"no_salary","tone":"bad","label":"Зарплата не указана","clause":"вилки нет, про деньги придётся договариваться с нуля","detail":"Вилки в объявлении нет: сумму придётся выяснять на первом же созвоне, и точки отсчёта у вас не будет.","weight":-10},{"key":"tasks_detailed","tone":"good","label":"Работа расписана подробно","clause":"работа расписана подробно","detail":"В описании 5 пунктов обязанностей и 12 требований: круг задач очерчен, а не пересказан общими словами.","weight":7}],"level":null,"score":null,"summary":"Работа расписана подробно. Но вилки нет, про деньги придётся договариваться с нуля."},"contact_handle":"accommodations@plaid.com","variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false},{"id":"b04989b2-c4ce-4adf-9ec6-b44948a3cb35","title":"Senior Software Engineer, Data Engineering (Short Term) ","company":"Roblox","company_logo":null,"location":"San Mateo, CA, United States","salary_min":1808,"salary_max":2050,"salary_currency":"USD","salary_est_min":null,"salary_est_max":null,"salary_est_sample":null,"salary_est_by_grade":null,"salary_est_basis":null,"job_type":"full_time","work_format":"office","experience":"senior","description":"","tags":[],"source":"company","source_url":"","source_id":null,"created_at":"2026-09-04T19:01:50+03:00","first_seen_at":"2026-09-06T10:26:08.322146+03:00","updated_at":"2026-09-06T10:25:54.01+03:00","is_active":true,"views_count":0,"expires_at":null,"employer_id":null,"remote_region":null,"country":"США","industry":[],"company_type":null,"english_level":null,"has_relocation":null,"is_pinned":false,"pinned_until":null,"employer_priority_until":null,"employer_verified":false,"ghost_score":0,"ghost_signals":{"items":[],"level":"live","confidence":"medium"},"verdict":{"items":[{"key":"tasks_detailed","tone":"good","label":"Работа расписана подробно","clause":"работа расписана подробно","detail":"В описании 5 пунктов обязанностей и 10 требований: круг задач очерчен, а не пересказан общими словами.","weight":7}],"level":null,"score":null,"summary":"Работа расписана подробно."},"contact_handle":null,"variant_cities":null,"duplicate_of":null,"variant_of":null,"description_is_thin":false}],"total":169,"page":3,"pageSize":20,"basePath":"/jobs/l/data-engineer","related":[{"href":"/jobs/l/development","title":"Вакансии для разработчиков","titleEn":"Jobs for developers"},{"href":"/jobs/l/qa","title":"Вакансии QA / тестировщиков","titleEn":"QA and tester jobs"},{"href":"/jobs/l/backend","title":"Вакансии backend-разработчика","titleEn":"Backend developer jobs"},{"href":"/jobs/l/fullstack","title":"Вакансии fullstack-разработчика","titleEn":"Fullstack developer jobs"},{"href":"/jobs/l/informacionnaya-bezopasnost","title":"Вакансии в информационной безопасности","titleEn":"Information security jobs"},{"href":"/jobs/l/management","title":"Вакансии Product / Project Manager","titleEn":"Product / Project Manager jobs"},{"href":"/jobs/l/frontend","title":"Вакансии frontend-разработчика","titleEn":"Frontend developer jobs"},{"href":"/jobs/l/analytics","title":"Вакансии для аналитиков","titleEn":"Jobs for analysts"},{"href":"/jobs/l/design","title":"Вакансии для дизайнеров","titleEn":"Jobs for designers"},{"href":"/jobs/l/biznes-analitik","title":"Вакансии бизнес-аналитика","titleEn":"Business analyst jobs"}]}]

Вакансии data engineer

Forward Deployed Data Engineer - Latin America

Senior Data Engineer

DATA ENGINEER

Data Engineer Ценообразование

Senior Data Engineer

Data Engineer (Аналитический центр транзакционного бизнеса)

Data Engineer, GTM

Senior Data Engineer

Senior Data Engineer (ML-направление)

Data engineer в команду SMT

Дата инженер (Кредитные продукты и процессы)

Инженер данных

Data Engineer Intern

Старший инженер данных, Ozon Банк

Sr. Staff Engineer, Data Engineering

Middle+ / Senior Data Engineer

Staff Data Engineer - US

Forward Deployed Data Engineer - EU

Senior Data Engineer

Senior Software Engineer, Data Engineering (Short Term)

Похожие подборки