Senior Data Engineer

About the role

The Senior Data Engineer will design, build, maintain and optimize scalable ETL/ELT pipelines, data models, orchestration and cloud infrastructure that power analytics and internal applications for Baseball Operations, partnering with Baseball Systems, analysts, developers and stakeholders while providing technical leadership and mentoring other engineers.

About the company

The Colorado Rockies Baseball Club is a professional baseball organization focused on building a championship‑caliber team on the field and across its business operations, emphasizing innovation, collaboration, evidence‑based practices, integrity, service, quality and trust to deliver an exceptional experience for players, staff and fans.

Requirements

• Five or more years of data engineering experience, or an equivalent combination of experience and demonstrated capability.
• Significant experience building and operating reliable production data pipelines (ETL/ELT).
• Advanced SQL and strong proficiency in Python.
• Hands‑on experience with a major cloud platform (AWS, Azure, or GCP) and a modern data platform such as Databricks or Snowflake.
• Experience developing distributed data workloads with Apache Spark or PySpark.
• Experience across data modeling, orchestration, testing, observability, and production troubleshooting.
• Ability to guide technical decisions and mentor less experienced engineers.
• Strong communication and collaboration skills with both technical and non‑technical stakeholders.
• Experience with baseball data and Baseball Operations workflows such as scouting, performance, player development, sports science, or biomechanics.
• Experience with lakehouse, data warehouse, or data lake architecture, including scalable ingestion patterns and dimensional or layered data modeling.
• Experience with workflow orchestration tools like Apache Airflow, Dagster, Prefect, or similar, and pipeline monitoring and data‑quality testing.
• Experience building data pipelines, feature datasets, or platform infrastructure for machine learning and artificial intelligence workloads.
• Familiarity with infrastructure as code tools such as Terraform, AWS CDK, or CloudFormation.
• Bachelor's degree in a related technical field, completion of an immersive technical program, or equivalent practical experience.
• Familiarity with AI‑assisted development tools and their responsible use in modern engineering workflows.