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Full Time Data Engineer (Baseball Systems Developer)
Full Time Data Engineer (Baseball Systems Developer)Los Angeles Angels • Anaheim, CA, United States
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Full Time Data Engineer (Baseball Systems Developer)

Full Time Data Engineer (Baseball Systems Developer)

Los Angeles Angels • Anaheim, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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 ranges from $95,000 to $110,000. Final offers will be made within these parameters.

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 third-party API documentation to build dynamic systems.
  • Ability to work in-person at Angel Stadium most days, with occasional remote work opportunities.
  • Willingness to work and / or be on-call during nights and weekends, 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.
  • Experience designing and implementing CI / CD pipelines for applications.
  • Experience managing Linux or Windows servers using Bash or PowerShell.
  • Basic knowledge of storage solutions (NAS, file systems, etc.) for large volumes of non-relational data.
  • Familiarity with cloud computing and data warehousing (GCP preferred).
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • A passion for baseball analytics.
  • Physical Demands :

  • Ability to sit for extended periods frequently.
  • Use hands frequently for keyboard, mouse, and computer use.
  • Occasionally work in inclement weather when in stadium.
  • Traverse between office and stadium frequently.
  • Occasionally lift up to 20 lbs.
  • #J-18808-Ljbffr

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