Senior Data Engineer, Fleet Monitoring & Analysis

CoreWeave is The Essential Cloud for AI™, a specialized cloud provider delivering massive GPU compute for AI, VFX, and rendering. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

As a Senior Data Engineer on the Fleet Monitoring and Analysis (FMA) team, you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave's global hardware fleet. You will maintain, monitor, and upgrade data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting.

• Design, develop, and maintain robust and scalable data pipelines from various sources (APIs, databases, third-party services).
• Maintain, monitor, and upgrade data lake infrastructure including Apache Iceberg, Trino, Airflow, Spark, and Superset.
• Maintain and upgrade ETL/ELT pipelines for reliable, performant, observable data flows.
• Create and optimize data models and data products for analytics and reporting.
• Provide ad-hoc analysis and reporting for team, director, and executive stakeholders.
• Create visualizations and dashboards (e.g., in Apache Superset) for internal audiences.
• Develop documentation and runbooks for pipelines, infrastructure, and data models.
• Implement data security and governance best practices.
• Collaborate with cross-functional teams to integrate data into applications and analytics platforms.

• Bachelor's degree in Computer Science, Engineering, or related field.
• 4-7 years of experience as a Data Engineer or similar role.
• Strong SQL skills for data manipulation, modeling, and querying large datasets.
• Proficiency in at least one programming language (Python, Java, or Scala).
• Hands-on experience with data pipeline orchestration (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark).
• Experience designing, operating, and optimizing data lake/warehouse solutions.
• Knowledge of cloud platforms (AWS, GCP, Azure) and related data services.
• Familiarity with SQL/NoSQL databases and data warehousing concepts.
• Experience building, maintaining, and monitoring ETL/ELT pipelines in production.
• Experience creating reporting and analytics solutions for technical and non-technical audiences.

• Experience with Apache Iceberg or similar table formats (Delta Lake, Hudi).
• Experience with Trino or other distributed SQL query engines.
• Experience with Apache Superset or other BI tools.
• Experience with data quality frameworks, observability, and metadata management.
• Experience supporting executive-level reporting and KPI design.

Compensation: Base salary range $153,000 to $204,000, plus discretionary bonus, equity awards, and comprehensive benefits.

Benefits: Medical, dental, and vision insurance (100% paid), life insurance, short/long-term disability, flexible spending account, health savings account, tuition reimbursement, ESPP, mental wellness benefits, family-forming support, paid parental leave, childcare support, 401(k) with employer match, flexible PTO, catered lunch, casual work environment.