Senior Data Engineer — Data Lake, Pipelines & Dashboards

CoreWeave; Bellevue (WA); On-site; USD 153,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with match

Competitive compensation

Flexible PTO

Job summary

CoreWeave is seeking a Senior Data Engineer to own and evolve the data lake and analytics stack powering observability for a global hardware fleet. You will maintain the data lake infrastructure and ETL pipelines while delivering ad-hoc analytics and executive-ready reporting.

You will build data models, dashboards, and visualizations to surface key metrics, trends, and performance for technical and non-technical audiences and contribute to documentation and data governance across the

Qualifications

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

Responsibilities

• Design, develop, and maintain robust data pipelines to collect, process, and store data from various sources.
• Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure (Iceberg, Trino, Airflow, Spark, Superset).
• Maintain ETL/ELT pipelines for reliable, performant data flows across batch and streaming workloads.
• Create and optimize data models and data products for analytics and reporting.
• Provide ad-hoc analysis and reporting for leadership, translating questions into data-driven insights.
• Create visualizations and dashboards to surface KPIs for internal audiences.
• Develop and maintain runbooks and documentation for data pipelines and governance.

Skills

SQL

Python

Java

Scala

Airflow

Spark

Iceberg

Trino

Superset

ETL/ELT

Data modeling

Data pipelines

Cloud AWS

Big data

Education

Bachelor's degree

Tools

Apache Airflow

Apache Spark

Apache Iceberg

Trino

Apache Superset

Job description

CoreWeave is seeking a Senior Data Engineer to own and evolve the data lake and analytics stack powering observability for a global hardware fleet. You will maintain the data lake infrastructure and ETL pipelines while delivering ad-hoc analytics and executive-ready reporting.

You will build data models, dashboards, and visualizations to surface key metrics, trends, and performance for technical and non-technical audiences and contribute to documentation and data governance across the