Senior Data Engineer

Summary

Join CoreWeave's Data Engineering team as a Senior Data Engineer to lead the development of foundational data models. You will own the creation and maintenance of star and snowflake schemas, establish dimensional modeling best practices, and partner with BI, analytics, and data science teams. This role requires expertise in analytical table/file formats, MPP databases, and distributed computing frameworks. CoreWeave offers a competitive salary ($175,000-$205,000), comprehensive benefits including 100% employer-paid medical, dental, and vision insurance, paid parental leave, flexible PTO, and a hybrid work environment. The company prioritizes a collaborative culture and offers opportunities for professional growth. CoreWeave is committed to fostering an inclusive and supportive workplace.

Requirements

• You thrive in a fast-paced, complex, work environment and you love tackling hard problems
• Hands-on experience applying Kimball modeling principles to large datasets
• Expertise in working with analytical table/file formats, including Iceberg, Parquet, Avro, and ORC
• Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift)
• 5+ years of programming experience in Python or Scala
• Advanced SQL skills, with a strong ability to write, optimize, and debug complex queries
• Hands-on experience with Airflow for batch orchestration distributed computing frameworks like Spark or Flink
• Applicants must have work authorization that does not require sponsorship from the company now or in the future

Responsibilities

• Develop and maintain data models, including star and snowflake schemas, to support analytical needs across the organization
• Establish and enforce best practices for dimensional modeling in our Lakehouse
• Engineer and optimize data storage using analytical table/file formats (e.g., Iceberg, Parquet, Avro, ORC)
• Partner with BI, analytics, and data science teams to design datasets that accurately reflect business metrics
• Tune and optimize data in MPP databases such as StarRocks, Snowflake, BigQuery, or Redshift
• Collaborate on data workflows using Airflow, building and managing pipelines that power our analytical infrastructure
• Ensure efficient processing of large datasets through distributed computing frameworks like Spark or Flink

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
• 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
• Hybrid work environment
• Remote work considered for candidates outside 30 miles of office, based on skills and experience