Ingeniero de Datos

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

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.