CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.
As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.
CoreWeave powers the creation and delivery of the intelligence that drives innovation.
Our Data Engineering team is focused on building scalable, reliable data infrastructure that powers insights across CoreWeave. You’ll work closely with Business Intelligence Engineers, analysts, and data scientists to ensure that the data they use is modeled effectively and efficiently, enabling the company to make data-driven decisions confidently.
About the Role:As a Senior Data Engineer, you will lead the development and maintenance of foundational data models, including star and snowflake schemas, within our lakehouse environment. Your day-to-day will involve creating optimized datasets and metrics critical for tracking business performance, setting standards for dimensional modeling, and collaborating cross-functionally to enable streamlined data workflows. You’ll also focus on tuning and optimizing data in modern analytical databases and managing data pipelines through tools like Airflow.
Who You Are:5+ years programming experience in Python or Scala
Advanced SQL skills with demonstrated ability to write, optimize, and debug complex queries
Hands-on experience applying Kimball dimensional modeling principles to large datasets
Expertise working with analytical table/file formats such as Iceberg, Parquet, Avro, and ORC
Proven ability to tune and optimize MPP databases (e.g., StarRocks, Snowflake, BigQuery, Redshift)
Experience building and managing data workflows using Airflow
Familiarity with distributed computing frameworks like Spark or Flink
Able to work effectively in fast-paced, complex environments
Applicants must have valid work authorization without sponsorship requirements
We believe in investing in our people and value candidates who bring diverse experiences — even if you don’t check every box. If some of this sounds like you, we’d love to talk:
You love to build scalable data models that enable business intelligence
You’re curious about cutting-edge data infrastructure and dimensional modeling
You’re an expert in managing and optimizing large-scale analytical databases
The base pay for this position ranges from $143,000 to $210,000 with total target cash from $164,000 to $242,000. Pay varies based on location, experience, and skills. This role also includes a discretionary bonus, equity, and a comprehensive benefits package.
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- 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
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
California Consumer Privacy Act - California applicants only
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: [email protected].
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Top Skills
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