CoreWeave
Senior Data Engineer
$182K–$242K
Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA +5 · Senior · Full-time · Posted Jul 20, 2026
- Location
- Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
Bellevue, WA
Livingston, New Jersey, United States
Manhattan, New York, United States
San Francisco, California, United States
Sunnyvale, California, United States - Experience
- 5+ years designing and building analytical data models in enterprise data warehouse or lakehouse environments.
- Education
- Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
- Visa sponsorship
- Applicants must be a U.S. person, eligible to access export-controlled information without export authorization, or eligible and reasonably likely to obtain the required U.S. government export authorization; CoreWeave may decline to pursue export licensing.
About the job
Designs and builds scalable analytical data models, curated datasets, and enterprise metrics that support analytics, business intelligence, and AI across CoreWeave.
What you'll do
- Develop dimensional data models and curated data products for analysts, data scientists, and business stakeholders.
- Translate business processes into scalable data models and ensure data performance, quality, and consistency.
- Build and operate data systems and pipelines on the company’s lakehouse platform.
What they ask for
- 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, and advanced SQL skills.
- Hands-on experience with distributed data processing systems, modern lakehouse architectures, and dimensional modeling for scaled OLAP workloads.
Nice to have
- Experience with event-driven architectures or streaming platforms such as Kafka, AutoMQ, or Pulsar.
- Experience operating data-intensive workloads on Kubernetes; experience in high-growth technology or infrastructure-focused organizations.
Pay
$182,000 to $242,000 USD base salary
Tools
Python, Scala, Rust, SQL, Spark, Flink, Iceberg, Delta
AI focus
Build foundational datasets, curated data products, and enterprise metrics supporting AI use cases.
Model-written summary · the original posting is authoritative