What You’ll Do:
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The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave. We aim to democratize insights and foster a culture where data-driven decision-making thrives at every level of the organization.

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About the Role:
We’re seeking a skilled Data Engineer to develop foundational data models that empower our Business Intelligence engineers, analysts, and data scientists to efficiently work with and gain insights from our data. You’ll create and maintain star and snowflake schemas within our lakehouse environment, generate key datasets and metrics essential to tracking business health, and optimize the flow and storage of data to support analytical workloads across the organization.

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Who You Are:

• Hands-on experience applying Kimball modeling principles to large datasets
• Expertise with analytical table/file formats such as Iceberg, Hudi, Parquet, Avro, and ORC
• Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift)
• 3–5+ years of programming experience in Python, Java, or Scala in a professional setting
• Advanced SQL skills, with the ability to write, optimize, and debug complex queries
• Hands-on experience with Airflow for batch orchestration and distributed computing frameworks like Spark or Flink
• Experience managing systems deployed on Kubernetes is highly desirable, but not required

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Preferred:

• Experience designing and optimizing large-scale data pipelines
• Strong understanding of data lakehouse architectures and analytics workflows

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