Data Engineer

Socket.dev; Detroit (MI); On-site; USD 95,000 - 135,000; Full time

Job summary

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

Responsibilities include managing hockey data pipelines, data quality, and modernization of legacy systems to enable analytics and software tools across the organization. Evening and weekend hours may be required.

Qualifications

• Understanding of modern data engineering best practices.
• Expertise with large-scale relational databases, data modeling, and SQL.
• Experience building data warehouses for data science and analytics.

Responsibilities

• Manage the consumption, storage, and maintenance of all hockey data.
• Design automated processes to oversee data integrity and query performance.
• Migrate/modernize legacy pipelines and build new ones to improve data integration.
• Oversee the integration of data into hockey analytics and software systems.

Skills

Data modeling

SQL

Data warehouses

Cloud computing

Data pipelines

AI tools

Java/Python/R/C#

Hockey knowledge

Job description

JOB SUMMARY

The Detroit Red Wings are currently seeking a full-time Data Engineer. This role will be responsible for supporting all internal data and infrastructure initiatives within Hockey Operations. This position will report 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 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 and 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.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES

Understanding of modern data engineering and application of 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 etc.) 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#. Passion for hockey and robust understanding of current hockey research.

PREFERRED KNOWLEDGE, SKILLS & ABILITIES

Experience in sports industry and/or working with sports data. Familiarity with the hockey tech industry including third-party vendors and services. Understanding of stream processing, messaging systems, or other real-time data workflows. Experience with NoSQL storage technologies and considerations. Familiarity with software tools for data orchestration and/or workflow management. Experience working with high-fidelity sensor or tracking data sets.

WORKING CONDITIONS

Office environment. Evening, weekend, and holiday hours may be required.

The above is intended to describe the essential job functions, the general supplemental functions, and the essential requirements for the performance of this job. It is not to be construed as an exhaustive statement of all supplemental duties, responsibilities, or nonessential requirements. Detroit Red Wings, Inc. has the right to change, modify, suspend, interrupt, or cancel in whole or in part any job functions outlined in a job description at any time and without advance notice to the employee.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Red Wings.

Detroit Red Wingsis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

PRIVACY POLICY