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Senior Data Engineer

Join CoreWeave as a Senior Data Engineer to design and build foundational datasets for analytics and AI in a fast-growing public company.

Location
Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
Compensation
$182k–$242k/yr
Level
senior
Type
full time

Posted by employer 3 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 16 hours ago

AI in the day-to-day

CoreWeave delivers a platform that enables innovators to build and scale AI with confidence.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Catered Lunch Employee Stock Purchase Program Flexible PTO Tuition Reimbursement Health Savings Account Childcare Support Flexible Spending Account Paid Parental Leave Disability Insurance Family-Forming Support Health Insurance Mental Wellness Benefits Life Insurance

Joblaze summary

In the role of Senior Data Engineer at CoreWeave, the individual will focus on designing and building foundational datasets that support analytics and AI initiatives across the organization. Key skills include expertise in data modeling, proficiency in programming languages like Python or Scala, and experience with modern lakehouse architectures. This position is ideal for seasoned professionals with a strong background in data engineering and a passion for creating scalable data solutions. CoreWeave's dynamic environment emphasizes innovation and collaboration, making it a fitting place for those eager to contribute to a rapidly growing tech landscape.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Coreweave's careers page October 27, 2026.
  • Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
  • Starts above 67% of 133 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 36 companies). See Python salary trends
  • Python appears in 77.3% of 216 comparable senior data engineering roles in United States; Iceberg appears in 1.9% of 216 comparable senior data engineering roles in United States.

Quick facts

What's the salary range?
Coreweave lists $182,000–$242,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Data Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AutoMQ, ClickHouse, Delta, Flink, Iceberg, Kafka.
What seniority level is this role?
Coreweave targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Data Engineer role at Coreweave.

From the original posting

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

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.

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.

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 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

Wondering if you’re a good fit? 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

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

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. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

California Applicants

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Standard company text repeated across Coreweave's postings is omitted here.

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