Data Engineer – Hockey Analytics & Data Infrastructure

Detroit Red Wings; Detroit (MI); On-site; USD 120,000 - 160,000; Full time

Job summary

The Detroit Red Wings are seeking a Data Engineer to join our Hockey Operations tech team. This full-time role focuses on supporting internal data initiatives, building scalable pipelines, and ensuring data integrity across analytics tools and software systems.

You will work with cloud platforms (Azure, AWS), modern data architectures, and real-time data workflows to empower reliable hockey insights and performance analysis.

Qualifications

• Understanding of modern data engineering and best practices.
• Expertise with large-scale relational databases, data modeling, and SQL.
• Experience building data warehouses for data science and analytics.
• Proficiency managing and working in a cloud computing environment (Azure, AWS).
• Ability to build high-performance data pipelines which maintain data quality.
• Experience utilizing AI tools to analyze, refine, and refactor existing pipelines.
• Experience with at least one common programming language such as Java, Python, R, or C#.

Responsibilities

• Manage the consumption, storage, and maintenance of all hockey data.
• Design automated processes to oversee data integrity and query performance on a regular basis.
• Migrate/modernize existing legacy pipelines and build new ones to improve integration of disparate data sources.
• Improve ease of use for integration of data into software tools and analysis pipelines.
• Oversee the integration of data into all hockey analytics and software systems.
• Maintain expertise in modern data management techniques within the fast-paced hockey technology landscape.

Job description

The Detroit Red Wings are seeking a Data Engineer to join our Hockey Operations tech team. This full-time role focuses on supporting internal data initiatives, building scalable pipelines, and ensuring data integrity across analytics tools and software systems.

You will work with cloud platforms (Azure, AWS), modern data architectures, and real-time data workflows to empower reliable hockey insights and performance analysis.