Data Engineer - Hockey Operations

About the role

The Detroit Red Wings are seeking a full-time Data Engineer to support all internal data and infrastructure initiatives within Hockey Operations. The position reports to the Director of Statistical Analysis within Hockey Operations.

Key responsibilities

• Manage the consumption, storage and maintenance of all hockey data.
• Design automated processes to monitor data integrity and query performance regularly.
• Migrate or modernize legacy pipelines and build new ones to integrate disparate data sources more easily into software tools and analysis pipelines.
• Oversee the integration of data into hockey analytics and software systems.
• Maintain expertise in modern data management techniques in a fast-paced hockey technology landscape.

Required profile

• Understanding of modern data engineering and best practices.
• Ability to build high-performance data pipelines that maintain data quality.
• Passion for hockey and a solid understanding of current hockey research.
• Evening, weekend and holiday hours may be required; the work takes place in an office environment.

Required skills

• Large-scale relational databases, data modeling and SQL.
• Building data warehouses for data science and analytics.
• Cloud environments such as Azure or AWS.
• At least one common programming language such as Java, Python, R or C#.
• Experience using AI tools to analyze, refine and refactor pipelines.
• PREFERRED: sports industry experience, stream processing or real-time data workflows, NoSQL, data orchestration tools, and high-fidelity sensor or tracking data.