CoreWeave is the force multiplier that empowers pioneers with momentum, magnitude, and mastery—enabling them to innovate with confidence. Explore the #1 AI Cloud.
About the role
We're hiring a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team 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.
What they're looking for
- 5+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems
- 5+ 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
More about this role
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. Learn more at www.coreweave.com .
We're hiring a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team 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...
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