Position: Data Engineer, Baseball Operations
Location: Detroit, MI
The Data Engineer, Baseball Operations will be responsible for working closely with the Analytics team to maintain the data infrastructure supporting internal baseball systems, reports, and procedures.
- Design, maintain, and support data warehouses for reporting and analytics within Baseball Operations.
- Automate and optimize data workflows and pipelines.
- Document, troubleshoot, and resolve issues with Baseball Operations data processes.
- Understand and document data structures, format, definitions, and content of internal and external data feeds.
- Develop data quality assurance tools to ensure data integrity and system performance.
- Collaborate with other members of the Baseball Operations team to develop best practices for storing and retrieving baseball data.
- Recommend new tools and techniques for collecting and processing data.
- Complete ad-hoc database queries and analysis as directed.
Minimum Knowledge, Skills, and Abilities:
- 3+ years of related work experience with data management and infrastructure.
- Degree or equivalent experience in Computer Science, Information Systems, or related technical field.
- Strong passion for baseball and robust understanding of current baseball research.
- Expertise with SQL and relational database concepts and design.
- Experience ingesting and transforming data from a variety of sources and formats.
- Experience with at least one programming language such as C#, Java, Python, or similar.
- Experience with R, Shiny, Plotly, or ggplot is a plus.
- Ability to communicate complex concepts to colleagues possessing a wide range of backgrounds and perspectives.
- Willing and able to relocate to Detroit.
To apply, please complete the application found here.
The content in this posting was created and provided solely by the Detroit Tigers.
Meg is the managing editor of FanGraphs, the host of FanGraphs Audio, and the co-co-host of Effectively Wild. Her work has appeared at Baseball Prospectus, Lookout Landing, and Just A Bit Outside.