Full Time Data Engineer (Baseball Systems Developer)

The Los Angeles Angels are seeking a Data Engineer (Baseball Systems Developer) to join the Baseball Operations’ Research & Development team. In this role, you will work with other developers to design, build, and maintain the data infrastructure that powers the Angels decision-making processes across scouting, player development, and in-game strategy. The position reports directly to the Senior Director, Research and Development.

This position is benefit-eligible including: medical, dental and vision insurance, 401K eligibility; employee contributions after 3 months, employer matching and safe harbor after 1 year and 1000 hours of employment and additional perks not listed above. The expected annual salary for this position can range from $95,000-$110,000. Final offers for this role will be made within the parameters of the salary range provided.

Responsibilities:

Design, develop, and maintain robust data pipelines to collect, transform, and store large volumes of baseball-related data from multiple sources Schedule automated job processes to ingest, aggregate, and manipulate data in real or near-real time Work closely with data scientists, developers, IT, and other stakeholders to ensure data quality, availability, and accessibility Implement data validation and monitoring tools to ensure system reliability and data integrity Contribute to system design decisions and engineering best practices within Baseball Operations Required Qualifications:

Solid working knowledge of Python (2+ years strongly preferred), preferably using pandas Proficient in SQL principles, including table keys, indexes, data modeling, and stored procedures Ability to design scalable, high-performance data solutions Experience using 3rd-party API documentation to build dynamic systems Work in-person at Angel Stadium most days with occasional opportunity for remote work Ability and willingness to work and/or be on-call during nights and weekends as necessary, especially during the baseball season Preferred Qualifications:

Experience designing, building, and maintaining relational databases (SQL Server, PostgreSQL, etc) Knowledge of workflow orchestration tools like Airflow or Dagster Ability to design and implement CI/CD pipelines for testing and deploying applications Experience managing Linux or Windows servers using Bash or Powershell Basic knowledge of storage solutions (NAS, file systems, etc) for storing large volumes of non-relational data Familiarity with cloud-based computing and data warehousing concepts (GCP preferred) Ability to communicate complex technical concepts to non-technical stakeholders A passion for baseball analytics Physical Demands:

Ability to frequently sit for extended periods of time Ability to use hands frequently (for keyboard, mouse and general computer use) Ability to occasionally work in inclement weather (when in stadium) Ability to traverse from office to stadium frequently Ability to occasionally lift up to 20 lbs. .