Now Hiring: Data Engineer (Remote Mexico)
Were 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 (Mexico) Occasional travel may be required Sports domain experience nice to have. Able to hold fluent conversations in English
· What Youll 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 Were Looking For: 5+ 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 youre passionate about building modern data platforms and enjoy working with cutting-edge analytics and AI teams, Id love to connect.-Requerimientos- Educación mínima: Educación superior - Licenciatura
años de experiencia
Palabras clave: datos, data, ingeniero, engineers, ingeniera, ing, engineer
· Location: Remote (Mexico) Occasional travel may be required Sports domain experience nice to have. Able to hold fluent conversations in English
· What Youll 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 Were Looking For: 5+ 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 youre passionate about building modern data platforms and enjoy working with cutting-edge analytics and AI teams, Id love to connect.-Requerimientos- Educación mínima: Educación superior - Licenciatura
años de experiencia
Palabras clave: datos, data, ingeniero, engineers, ingeniera, ing, engineer