Full Time Data Engineer, Baseball Systems

The Los Angeles Angels are seeking a Data Engineer, Baseball Systems 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.

- 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

- 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

- 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

- Ability to use hands frequently (for keyboard, mouse and general computer use)

- Ability to occasionally work in inclement weather (when in stadium)