Youth sports offer important life lessons that propel kids toward meaningful futures, including a sense of family and community. GameChanger by DICK’S Sporting Goods works to connect families via live video streaming of games, scorekeeping and team communication tools for more than half a million teams. We are a remote-first, dynamic tech company based in New York City intent on improving youth sports for all and developing our own teammates. OVERVIEW: About GameChanger: GameChanger is the #1-rated youth sports app offering free sports team management, free live streaming, and free scorekeeping for youth sports coaches and fans. We believe in the life changing impact youth sports have on and off the field. Sports encourage leadership, teamwork, responsibility, and confidence – important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports. So if you love sports and their community building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today. The Position You will sit on the Data Engineering Team, which develops data pipeline frameworks, improve our modern data platform, and support the teams that rely on it. You'll work with teams across the company to understand their needs and build systems to unlock operational efficiencies or analytic insights. Our solutions benefit everyone including Analysts, Product Managers, Marketers, Developers, Executives, Coaches, Players, and Parents! This co-op is a hands-on learning opportunity: you'll contribute to meaningful projects, gain exposure to modern data tools, and build skills to set you up for a career in data engineering.
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Career Level
Intern