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

- 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

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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.

📌 Ingeniero de Datos (México)
🏢 Programming.Com
📍 México