Senior Data Engineer

Highlights

• Build foundational datasets powering analytics and AI across CoreWeave.
• Design resilient pipelines and scalable lakehouse systems for decision-making.
• Create curated data products enabling smarter business decisions at scale.

What they offer

• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• 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

Ideal candidate

You are a product-minded data builder with 5+ years shaping enterprise analytics who loves rigorous engineering and partnering with business teams to make data reliable and actionable at scale.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or related field or equivalent experience
• 5+ years designing and building analytical data models in enterprise warehouse or lakehouse environments
• Expertise in Python, Scala, or Rust building production-grade data systems
• Advanced SQL for developing, optimizing, and troubleshooting complex analytical workloads
• Hands-on experience building and operating distributed processing with Spark, Flink, or similar
• Experience with modern lakehouse architectures such as Iceberg, Delta, StarRocks, ClickHouse, or Trino
• Deep expertise applying dimensional modeling to scaled OLAP workloads
• Experience building curated datasets, semantic models, and enterprise metrics for BI, analytics, and AI