Staff Data Engineer, CoreWeave
$225.6-300k
OTE
$188-250k
BASE
+ Discretionary bonus and equity
More information about location
The essential cloud for AI
Open for applications
The essential cloud for AI
1001+ employees
Open for applications
$225.6-300k
OTE
$188-250k
BASE
+ Discretionary bonus and equity
More information about location
1001+ employees
Company mission
To manage the complexities of AI growth to make supercomputing accessible and push the limits of what's possible.
Role
Who you are
- 10+ years of experience in data engineering, software engineering, or architecture roles
- Expert in enterprise data modeling (Kimball, Data Vault, or hybrid) and semantic modeling best practices
- Deep experience designing and operating scalable data lakes or Lakehouses (Iceberg, Delta Lake, or Hudi)
- Strong knowledge of MPP and OLAP systems such as StarRocks, Snowflake, BigQuery, or Redshift
- Track record of implementing data governance frameworks and semantic layer strategies
- Hands-on experience with modern orchestration, processing, and modeling tools (Airflow, Spark, dbt, etc.)
- Exceptional SQL skills and strong programming ability in either Python, Scala, or Java
- Excellent cross-functional communication and leadership skills, with the ability to drive alignment across stakeholders
What the job involves
- The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave
- We seek to democratize insights and foster a culture where data-driven decision-making thrives at every level
- We are seeking a Staff Data Architect to lead the design and implementation of our enterprise data architecture
- This role will define our modeling standards, govern the semantic layer, and ensure architectural consistency across our Lakehouse platform
- As a senior technical leader, you’ll bridge data engineering, analytics, and business strategy—making CoreWeave’s data usable, discoverable, and reliable at scale
- You'll achitect the company-wide dimensional modeling and semantic layer strategy
- Define and enforce standards for data modeling, documentation, naming, and governance
- Guide the evolution of our Lakehouse architecture, including Iceberg/Delta formats, catalog integration, and data zone partitioning
- Establish scalable frameworks for data lineage, observability, and data quality enforcement
- Partner with Data Engineering, BI, and Product teams to design reusable data assets and semantic models
- Provide architectural leadership on schema evolution, schema versioning, and multi-domain data design patterns
- Evaluate and standardize tools for data cataloging, modeling, and metadata management
- Mentor senior engineers and lead architectural reviews of data-intensive projects
Our take
As AI continues to dominate the tech landscape, the demand for faster, more efficient cloud infrastructure is only intensifying. Traditional cloud providers often struggle with the sheer speed and scale required to power advanced AI models, leaving a gap for more specialized players. And that's where CoreWeave comes in, a company purpose-built to handle the heavy computational lift that the AI era demands.
CoreWeave's story is an interesting one too. What began in 2017 as a small crypto mining venture has evolved into one of the leading AI-focused cloud providers in the world. Its data centers are packed with high-end GPUs optimized for machine learning and generative AI, serving major clients like Microsoft and OpenAI. By designing its infrastructure around the needs of modern AI workloads rather than retrofitting older systems, CoreWeave has carved out a distinct and highly valuable niche in the market.
That focus in paying off in a big way too. Analyst project CoreWeave's revenue to soar from $5.3B in 2025 to the mid-$20Bs by 2028, up from just $16M in 2022. While there is competition from tech giants like Amazon and Google, CoreWeave's speed, specialization, and bold investment strategy put in in avery powerful position to keep riding (and helping shape) the AI boom.
Steph
Company Specialist at Welcome to the Jungle
Insights
194% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company 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
Company HQ
Civic Center, New York, NY
Leadership
Michael Intrator
(Co-Founder & CEO)Previously, Michael was a Principal Portfolio Manager at Natsource Asset Management for over 15 years. He also served as the CEO of Hudson Ridge Asset Management before co-founding CoreWeave in 2018.
Brian Venturo
(Co-Founder & CSO)Brian spent nearly 6 years at Natsource Asset Management as a Portfolio Manager before becoming a Partner at Hudson Ridge Asset Management. After co-founding CoreWeave he served as the CTO until 2024 when he moved into his current role of Chief Strategy Officer.
Brannin McBee
(Co-Founder & CDO)Brannin has a history in Proprietary Trading, having previously worked at Windy Bay Power and Active Power Investments. He also served as a VP at Fourth Floor Coastal and as an Associate at Elustria Capital PArtners.
Peter Salanki
(Co-Founder & CTO)Peter Previously served as a Director of Americas at Sandvine. Prior to that, he spent 11 years at Procera Networks as a Solutions Architect, Lead Architect, and Principal Solutions Architect.
Nitin Agrawal
(CFO)Nitin joined CoreWeave in 2024 as CFO. Prior to this, he was the VP of Finance at Google Cloud and CFO at Mapbox. He also spent nearly 5 years at AWS as CFO of Compute Services and 7 years at Microsoft as Group Manager of Finance.
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