Los Angeles Angels-Full Time Data Engineer, Baseball Systems
$95,000–$110,000 year
On-site · Anaheim, California, United States
Job Summary
Join the Los Angeles Angels as a Data Engineer, Baseball Systems, where you'll design and maintain robust data pipelines for baseball analytics. Responsibilities include developing automated processes to handle large data volumes, ensuring data quality, and collaborating with cross-functional teams. Required skills encompass Python and SQL proficiency, designing scalable data solutions, and utilizing 3rd-party APIs. Preferred qualifications include experience with relational databases, orchestration tools, CI/CD pipelines, and cloud computing. Candidates must be able to work on-site and be available nights and weekends during the season.
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
- Ability and willingness to work and/or be on-call during nights and weekends as necessary, especially during the baseball season
Desired 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
Additional Requirements
- Ability to work in-person at Angel Stadium most days.
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