Senior Data Engineer - Dimensional Modeling and Metric Generation

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company’s 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. To learn more about our values, please visit our careers website.

About the Team

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.

About the Role

We’re seeking a skilled Senior Data Engineer to lead the development of foundational data models that empower our Business Intelligence Engineers, analysts, and data scientists to efficiently work with and gain insights from our data. This role will own the creation and maintenance of star and snowflake schemas within our lakehouse environment and set the standards for dimensional modeling best practices. The engineer will also create and optimize key datasets and metrics essential to tracking business health.

Responsibilities

• Develop and maintain data models, including star and snowflake schemas, to support analytical needs across the organization.
• Establish and enforce best practices for dimensional modeling in our Lakehouse.
• Engineer and optimize data storage using analytical table/file formats (e.g., Iceberg, Parquet, Avro, ORC).
• Partner with BI, analytics, and data science teams to design datasets that accurately reflect business metrics.
• Tune and optimize data in MPP databases such as StarRocks, Snowflake, BigQuery, or Redshift.
• Collaborate on data workflows using Airflow, building and managing pipelines that power our analytical infrastructure.
• Ensure efficient processing of large datasets through distributed computing frameworks like Spark or Flink.

Qualifications

• You thrive in a fast-paced, complex, work environment and you love tackling hard problems.
• Hands-on experience applying Kimball modeling principles to large datasets.
• Expertise in working with analytical table/file formats, including Iceberg, Parquet, Avro, and ORC.
• Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift).
• 5+ years of programming experience in Python or Scala.
• Advanced SQL skills, with a strong ability to write, optimize, and debug complex queries.
• Hands-on experience with Airflow for batch orchestration distributed computing frameworks like Spark or Flink.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,000-$205,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

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
• Tuition Reimbursement 
• 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