Data Engineer (Zelus Analytics) - Global Remote

at  Teamworks

Teamworks, the Operating System for Sports™, powers more than 6,500 sports organizations worldwide, including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located across over a dozen countries, Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world.
Zelus Analytics, now part of Teamworks, is a premier sports intelligence platform that partners with teams across the NBA, MLB, NFL, IPL, NHL, and European football leagues. As a key component of Teamworks, Zelus continues to deliver cutting-edge analytics, empowering these organizations with advanced data insights to enhance performance, strategy, and decision-making. The platform integrates comprehensive sports data, enabling teams to gain a competitive edge through rich analysis and innovative solutions tailored to their specific needs.
We are seeking a passionate and highly skilled Data Engineer to join our Analytics team. This role is crucial in advancing our market-leading sports intelligence platform, helping professional teams across various sports leverage sophisticated data pipelines and automated processing to compete at the highest levels. Your work will directly impact our exclusive network of partners as they strive to win championships.
This is a fantastic opportunity to be at the forefront of sports analytics technology and to contribute to the ongoing success and rapid expansion of one of the fastest-growing companies in sports tech.

REQUIREMENTS:

• Demonstrated experience in back-end software design and development, with a strong focus on data engineering.
• Hands-on experience with ETL architecture and development in cloud-based environments.
• Fluency in SQL development and a deep understanding of database and data warehousing technologies.
• Proficiency in Python (preferred) and/or R, with experience in Scala or other data-oriented programming languages.
• Experience with automated data quality validation across large datasets.
• Familiarity working with Linux servers in virtualized or distributed environments, ensuring stable operations.
• Proficient software engineering and problem-solving skills, with the ability to adapt to evolving technical landscapes.

RESPONSIBILITIES:

• Design, develop, document, and maintain schemas and ETL pipelines for internal sports databases and data warehouses.
• Implement and test collection, mapping, and storage procedures to ensure secure access to team, league, and third-party data sources.
• Develop algorithms for quality assurance and imputation to prepare data for exploratory analysis and quantitative modeling.
• Profile and optimize automated data processing tasks to ensure efficiency and scalability.
• Coordinate with data providers regarding planned changes to raw data feeds, ensuring seamless integration.
• Deploy and maintain system and database monitoring tools, ensuring stable and reliable performance.
• Collaborate effectively in a distributed work environment, contributing to a dynamic and innovative team.
• Engage in rotating platform support duties, ensuring the reliability and performance of data processing systems.