Senior Data Platform Engineer, Weights & Biases

• Deep knowledge (practical and theoretical) of data engineering and the accompanying workflows
• History of writing easy-to-follow code and effective documentation for your projects
• Expert knowledge of data orchestration / data pipeline tools (dbt, dagster, airflow, etc)
• Experience working with large & high demand data warehouses / platforms. Multi-PB scale, with extreme business demand of the systems
• Expert knowledge and understanding of web apps and best practices for logging and event instrumentation
• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge
• This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process

Desirable

• Partner with other Data Platform Engineers and Data Scientists to expand and maintain our data platform
• Partner with core engineering to improve our product telemetry
• Eventually - join our on-call rotation for the data platform
• Strategic goals for the team over the next 12 months:
• Migrate data build tools to improve efficiency and performance
• Build a robust internal data catalog and semantic layer to support self-service analytics
• Build an internal AI agent for addressing common data workflows
• Lay the foundations for internal AI applications built on top of our operational data
• The Data group at Weights & Biases works across the full range of data-related topics:
• We help business partners set goals, make decisions, and understand the levers to achieve their goals
• We build reporting to keep the business attuned and aligned
• We build datasets and pipelines to support self-service analysis
• We train models to understand our customer growth, churn risk, and detect spam and abuse
• We’re exploring novel benchmarks and recs for model training
• We build and maintain a massive data platform to power it all