Senior Data Engineer, Fleet Monitoring & Analysis
Core
Own and evolve the data lake and analytics stack powering observability and decision-making for CoreWeave's global hardware fleet.
Role type
Senior Data Engineer (Infrastructure & Analytics)
Builds
Data lake infrastructure, ETL/ELT pipelines, dashboards, and executive reporting for fleet monitoring.
Domain
Cloud Infrastructure / Data Engineering / Observability
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python/Java/Scala, Apache Airflow, Apache Spark, Data Lake Architecture, Data Modeling, Cloud Platforms (AWS/GCP/Azure), Database Systems (SQL/NoSQL), ETL/ELT Pipeline Management, Data Governance
Preferred skills
Apache Iceberg, Trino, Apache Superset, Data Quality Frameworks, Data Observability Tooling, Executive Reporting Design
Technologies
Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset, AWS, GCP, Azure
Responsibilities
Design and maintain scalable data pipelines for diverse sources; Maintain and upgrade data lake infrastructure and query layers; Create and optimize data models and data products; Provide ad-hoc analysis and executive reporting; Develop visualizations and dashboards for operational KPIs; Implement data security and governance best practices.
Seniority
Senior, hands-on IC
