Now Hiring: Data Engineer (Remote – LATAM)
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.
Location: Remote (LATAM)
✈️ Occasional travel may be required
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Sports domain experience is 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:
✅ 3–6 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:- Kafka, Spark Streaming, or Flink
- AWS, Azure, or GCP
- Docker and Kubernetes
- MLOps exposure
- Sports analytics, telemetry, or sensor data experience
- Interest in American Football, NFL, or College Football
If you're passionate about building modern data platforms and enjoy working with cutting-edge analytics and AI teams, I'd love to connect.
