Data Engineer

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

If you have a passion for sports analytics, love working with Python, R, SQL, and enjoy building data pipelines and visualizations in Tableau, Power BI, and Matplotlib, this is your opportunity to play a pivotal role in shaping the future of data-driven sports performance.

Requirements

• Develop scalable ETL pipelines to process performance and tracking data, ensuring seamless flow from data capture to analysis.
• Analyze and optimize sports data, translating raw sensor readings into meaningful performance metrics for athletes and coaches.
• Leverage Python, R, and SQL to build advanced analytics models, unlocking deeper insights into player performance.
• Create intuitive dashboards and reports using Tableau, Power BI, and Matplotlib, enabling users to visualize and interpret data effectively.
• Ensure data accuracy, consistency, and accessibility, collaborating with sports scientists, product teams, and software engineers.
• Continuously improve data workflows to enhance efficiency and support real-time analytics for Rapsodo’s cutting-edge sports products.

Benefits

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related field (or equivalent hands-on experience).
• 3-5 years of experience in data engineering, analytics, or a related role.
• Strong proficiency in Python, R, and SQL for data transformation and statistical analysis.
• Experience working with sensor-based data or time-series data (preferred).
• Hands-on expertise in Tableau, Power BI, and Matplotlib for creating insightful visualizations.
• A passion for sports analytics and the ability to bridge the gap between raw data and real-world performance insights.
• Strong problem-solving skills and the ability to work independently in a fast-paced environment.
• Excellent communication skills, able to collaborate effectively with both technical and non-technical stakeholders.

At Rapsodo, you'll help to drive innovation in sports analytics.

You’ll work with state-of-the-art tracking technology to develop high-performance data systems that transform complex data into actionable insights for athletes and coaches.

You’ll have the opportunity to collaborate with athletes, engineers, and product teams, pushing the boundaries of real-time analytics.

If you're passionate about solving complex data challenges, optimizing large-scale data workflows, and shaping the future of sports technology, we’d love to hear from you!