Data Engineer

Rapsodo is a Sports Technology company with a global presence, specializing in sports analytics products that are data-driven and portable. The company develops solutions used by athletes from Major League Baseball star pitchers to Golf tour players worldwide. As a Data Engineer, you'll be at the forefront of developing scalable data solutions that transform complex sports performance data into actionable insights.

The role involves building and maintaining ETL pipelines, working with sensor-based performance data, and creating sophisticated analytics models using Python, R, and SQL. You'll be responsible for developing intuitive visualizations through tools like Tableau, Power BI, and Matplotlib, making complex data accessible to athletes and coaches.

This position offers the opportunity to work with state-of-the-art tracking technology and collaborate with a diverse team of sports scientists, product specialists, and software engineers. You'll play a crucial role in shaping the future of sports technology by optimizing large-scale data workflows and delivering real-time analytics solutions.

The ideal candidate combines technical expertise with a passion for sports analytics, bringing strong problem-solving abilities and excellent communication skills. You'll be part of an innovative, focused, and rapidly growing team that's dedicated to empowering athletes at all levels to analyze and improve their performance.

If you're excited about bridging the gap between raw data and real-world performance insights while working with cutting-edge sports technology, this role offers the perfect opportunity to make a significant impact in the sports analytics industry.