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Senior Analytics Engineer

LinkedIn CoreWeave Sunnyvale, CA
Not Applicable Posted March 26, 2026 Job link
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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.
Preferred Skills
  • Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.
  • Preferred
  • 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.