Senior Analytics Engineer
About The Position
The Analytics Engineering Team turns data into impact. We build and maintain CoreWeave’s enterprise semantic layer, which serves as the foundation for decision-making, AI, and operational insight across the company. By shipping modeled, documented, and governed data products we drop the barrier to entry for business intelligence and data science through the floor empowering users across the business to move faster and smarter. We’re hiring a Senior Analytics Engineer to own the last mile of analytics at CoreWeave. In this role, you’ll build and evolve our enterprise semantic layer - transforming raw data into trusted models, metrics, and analytics-ready datasets used by leaders and teams across the company. You’ll work across the full analytics stack, using tools like dbt, Airflow, Spark, StarRocks, Tableau, and Omni to deliver everything from executive dashboards and AI analyst agents to well-defined, reusable data models. You’ll partner closely with data engineering, finance, product, and operations to define shared business logic and ensure data is clear, consistent, and decision-ready. This is a high-ownership role for someone who wants to shape how the company understands its data and how decisions get made.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
- 3+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
- Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
- Deep experience querying MPP analytical databases such as StarRocks, Snowflake, BigQuery, or Redshift.
- Strong experience with one or more modern BI tools (e.g., Omni, Tableau, Looker, Power BI), including building semantic models, reusable metrics, and executive dashboards to enable consistent, self-serve analytics.
- Hands-on experience orchestrating data pipelines with Airflow, Dagster, or equivalent.
- Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia).
- Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.
Nice To Haves
- Experience building and operating production data pipelines or data platforms, with strong software engineering practices (testing, CI/CD, code review).
- Deep hands-on experience with stream processing and transport systems (e.g., Flink, Kafka), including performance tuning and failure debugging.
- Familiarity with open table formats such as Iceberg, Hudi, Delta, or Paimon, including an understanding of how they impact data modeling, reliability, and analytics performance.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
