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Senior Data Engineer
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Salesloft·Mexico·25 июня

Senior Data Engineer

🌍 УдалённоSeniorПолная занятость🌐 Глобал
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Наша компания

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future. Our Clari + Salesloft Data & Analytics team is comprised of seasoned and up-and-coming data professionals​​ who are all aligned on one vision and mission: Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes Mission: Bring science to the art of sales The Data & Analytics team consists of a group of curious, collaborative, and technically-driven individuals dedicated to empowering the business with data. The engineers and analysts on our team share a few common traits: they are passionate about turning data into actionable insights, thrive on solving complex problems, and are committed to leveraging cutting-edge technology to answer critical business questions.

О роли

At Clari + Salesloft, our Data Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Data & Analytics (D&A) team, helping build and maintain the data infrastructure that powers all of our internal reporting and analytics for multiple business teams. As a team, we are actively implementing the latest AI features and cutting-edge technologies to drive business insights

Чем предстоит заниматься

On a day-to-day basis, you will be responsible for architecting and delivering end-to-end data pipelines to support internal stakeholders. Specifically, you will
Design, build, and maintain scalable data pipelines and services for analytics and business intelligence
Develop data flows and applications for machine learning, analytics, and third-party data integrations
Collaborate with data scientists and analysts to deploy models and analytical solutions
Perform heads-down development, test your code, review peer code, and ship it to production
In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to build and enhance the data infrastructure that provides critical insights to business leaders, directly impacting strategic decisions across the company. You will have an opportunity to make a difference

Наши требования

We are seeking a results-oriented and innovative Data Engineer who is passionate about building scalable data solutions that empower internal teams. You will play a pivotal role in developing the infrastructure that powers our internal reporting and analytics initiatives, and you should be excited about working with the latest in AI and data technology. We're looking for someone with a deep understanding of data architecture, a commitment to quality, and a collaborative spirit to support business stakeholders
If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Data Engineer is the career path for you!
Strong SQL skills and experience with Snowflake core features, focusing on performance optimization and efficient data warehousing practices
Proven ability to build scalable, tested transformation layers using DBT
Experience managing data pipelines with Airflow and ingestion tools such as Fivetran or Estuary
Comfortable working with AI-assisted development tools such as Snowflake Cortex, Gemini Enterprise, or GitHub Copilot
Strong Git workflow experience in Agile environments (Jira)
Bachelor’s degree in Computer Science or a related technical field
Experience with BI/analytics tools and supporting reporting workflows
Experience working with Salesforce or other CRM data, particularly in SaaS environments
Familiarity with AWS or GCP, REST APIs (Postman), or Databricks
Exposure to Machine Learning, AI, or Data Science frameworks
At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings
If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!
Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an .com or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration

Технологии и навыки

data
Salesloft
Salesloft
Mexico

ГрейдSenior
ЗанятостьПолная занятость
РегионМексика
ФорматУдалённо
ИсточникСкрыто
Опубликовано25 июня

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