Senior Data Engineer

About The Role

We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development of dimensional data models, enterprise metrics, and curated data products that enable analysts, data scientists, and business stakeholders to answer complex questions with confidence. Day-to-day, you'll partner closely with business domains and analytics teams to translate operational processes into scalable data models while ensuring performance, quality, and consistency across the data ecosystem. This role combines deep data modeling expertise with strong software engineering skills across our modern lakehouse platform.

What You'll Do

The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines, scalable lakehouse systems, and high-quality datasets that enable teams across Finance, HR, Operations, and Engineering to move faster and make smarter decisions. Our mission is to make CoreWeave's data reliable, accessible, and actionable at scale.

Who You Are

• Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience)
• 5+ years of experience designing and building analytical data models in enterprise data warehouse or lakehouse environments
• Expertise in at least one programming language such as Python, Scala, or Rust, with experience building production-grade data systems
• Advanced SQL skills with demonstrated experience developing, optimizing, and troubleshooting complex analytical workloads
• Hands-on experience building and operating distributed data processing systems using Spark, Flink, or similar technologies
• Experience working with modern lakehouse architectures and analytical technologies such as Iceberg, Delta, StarRocks, Clickhouse, or Trino
• Deep expertise applying dimensional modeling techniques to scaled OLAP workloads
• Strong experience building curated datasets, semantic models, and enterprise metrics that support business intelligence, advanced analytics, and AI use cases

Preferred Experience

• Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms
• Experience operating data-intensive workloads on Kubernetes
• Experience in high-growth technology or infrastructure-focused organizations

Qualities We Value

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love building data products with the same rigor applied to production software
• You're curious about emerging technologies in streaming, lakehouse, and AI-powered analytics
• You're an expert at designing scalable systems for processing and serving data

Pay

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

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
• 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
• A casual work environment
• A work culture focused on innovative disruption