Data Engineer

November 6

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Description

• 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

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 • Proficient software engineering and problem-solving skills, with the ability to adapt to evolving technical landscapes

Benefits

• Comprehensive benefits plan, including medical, dental, vision, disability, life insurance • Paid time off • Retirement/pension contribution plan • Additional educational opportunities via Range for courses, conferences, and other options • Company equity • 100% remote-optional work setting