Data Engineer I

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. 

What You’ll Do:

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 Data Engineer to develop 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 create and maintain star and snowflake schemas within our lakehouse environment, and generate key datasets and metrics essential to tracking business health.

In this role, you will:

• Develop and maintain data models, including star and snowflake schemas, to support analytical needs across the organization.
• 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.

Who You Are:

• 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, Hudi,  Parquet, Avro, and ORC.
• Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift).
• 2+ years of programming experience in either Python, Java, 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.

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:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

 

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 takeoff, 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 pay and target total cash for this position range from $ 101,000- $135,000 and $111,000- $149,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position 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 ea