Senior Data Engineer, Fleet Monitoring & Analysis

CoreWeave·Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA·8 июля

Senior Data Engineer, Fleet Monitoring & Analysis

🏢 ОфисSeniorПолная занятость

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Наша компания

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Чем предстоит заниматься

The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave’s ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations

As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave’s global hardware fleet. You’ll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You’ll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization

Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services

Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset

Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads

Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance

Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives

Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences

Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting

Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations

Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement

Наши требования

Bachelor’s degree in Computer Science, Engineering, or a related field

4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment

Strong SQL skills for data manipulation, modeling, and querying large datasets

Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala

Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark)

Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning

Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services)

Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design

Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability

Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences

Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi)

Experience with Trino or other distributed SQL query engines at scale

Experience with Apache Superset or other BI/visualization tools for building self-service analytics

Experience with data quality frameworks, data observability tooling, and/or metadata management

Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk

You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization

You’re curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling

You’re an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions

Мы предлагаем

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include

Medical, dental, and vision insurance - 100% paid for by CoreWeave

Company-paid Life Insurance

Voluntary supplemental life insurance

Short and long-term disability insurance

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Ability to Participate in Employee Stock Purchase Program (ESPP)

Mental Wellness Benefits through Spring Health

Family-Forming support provided by Carrot

Paid Parental Leave

Flexible, full-service childcare support with Kinside

401(k) with a generous employer match

Flexible PTO

Catered lunch each day in our office and data center locations

A casual work environment

A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act

Дополнительно

The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility)

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location

CoreWeave

Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано8 июля

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