Senior Data Engineer

CoreWeave•Sunnyvale, CA

10d•$182,000 - $242,000

About The Position

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. 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.

Requirements

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.

Nice To Haves

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
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

Responsibilities

Design and build foundational datasets that power analytics, business intelligence, and AI across CoreWeave.
Own the development of dimensional data models, enterprise metrics, and curated data products.
Enable analysts, data scientists, and business stakeholders to answer complex questions with confidence.
Partner closely with business domains and analytics teams to translate operational processes into scalable data models.
Ensure performance, quality, and consistency across the data ecosystem.