Data Engineer – Remote (Mexico)

About the role

We are looking for an experienced Data Engineer to join a fast‑growing, data‑driven team that operates at the intersection of sports, analytics, and technology. The position is fully remote within Mexico and may involve occasional travel.

Key responsibilities

• Design, build, and maintain scalable data pipelines using Databricks, Airflow, or Dagster.
• Develop ETL/ELT workflows with Python and SQL.
• Collaborate with machine‑learning and AI teams to deliver high‑quality datasets.
• Work with modern lakehouse technologies such as Delta Lake, Parquet, and Iceberg.
• Implement orchestration, monitoring, and data‑quality frameworks.
• Optimize performance, scalability, and cost across data platforms.

Required profile

• 6+ years of professional data‑engineering experience.
• Strong Python and SQL programming skills.
• Hands‑on experience with Databricks, Spark, or comparable big‑data technologies.
• Proficiency with workflow tools like Airflow, Dagster, Prefect, or Luigi.
• Deep understanding of data modeling and distributed systems.
• Experience working closely with analytics, product, or ML teams.

Required skills

• Python
• SQL
• Databricks
• Apache Spark
• Airflow
• Dagster
• Prefect
• Luigi
• Delta Lake
• Parquet
• Iceberg
• Data modeling
• Distributed systems