Data Engineer
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Summary
A Data Engineer joining a sports-analytics team (placed via Fuel Talent for SumerSports) who builds and maintains scalable data pipelines and ETL/ELT workflows using Python, SQL, Databricks/Spark, and orchestrators like Airflow or Dagster, while partnering with ML/AI teams and optimizing lakehouse data platforms.
We're partnering with Fuel Talent / SumerSports to find a talented Data Engineer to join a fast-growing, data-driven team working at the intersection of sports, analytics, and technology.
Occasional travel may be required.
What You'll Do:
- Build and maintain scalable data pipelines using Databricks, Airflow, or Dagster
- Develop ETL/ELT workflows with Python and SQL
- Partner with ML and AI teams to deliver high-quality datasets
- Work with modern lakehouse technologies such as Delta, Parquet, and Iceberg
- Implement orchestration, monitoring, and data quality frameworks
- Optimize performance, scalability, and cost across data platforms
What We're Looking For:
- 6+ years of Data Engineering experience
- Strong Python and SQL skills
- Experience with Databricks, Spark, or similar big-data technologies
- Airflow, Dagster, Prefect, or Luigi experience
- Strong understanding of data modeling and distributed systems
- Experience working with analytics, product, or ML teams
Nice to Have:
- Docker and Kubernetes
- Sports analytics, telemetry, or sensor data experience
- Interest in American Football, NFL, or College Football