Why UTR Sports

UTR Sports is a Silicon Valley based tech and sports high growth company that is both remote-friendly and people-driven. We are on a mission to revolutionize tennis and pickleball through technology and data. UTR Sports’ UTR Rating is the gold standard and the world’s most accurate singles and doubles rating system. Our vision is to unify racquet sports for everyone by bringing cutting edge analytics and community building technology to all players worldwide, regardless of level. We are backed by impressive investors in sports, technology and media including Amazon, Roger Federer’s Team8, Novak Djokovic, Endeavor/IMG, Tennis Channel, Tennis Australia and Larry Ellison. UTR Sports wants to work with people who are team-oriented and excellence focused.

To learn more, Watch this Video and visit www.utrsports.net.

About the Role

We are seeking a highly motivated and skilled technical lead for our Data Acquisition team to support and grow our data acquisition & data engineering initiatives. This role blends technical expertise with leadership responsibilities, making it ideal for individuals who enjoy hands-on work while guiding a talented team. UTR Sports provides a wide range of products and services, including player ratings, event management software, and a lot more. The Data Acquisition team is at the heart of many of these core products and is critical to the success and accuracy of our patented and gold-standard rating algorithms.

Our team operates across multiple time zones, requiring a lead who excels at coordination and communication when not all team members are online. The ideal candidate will thrive in an independent work environment, demonstrating the ability to manage projects, solve problems, and drive progress autonomously. Strong communication skills are essential for success in this role.

Key Responsibilities

Technical Leadership

Design, build, and maintain robust data pipelines that run proprietary ML models and power our internal data dashboarding.
Ensure data integrity and accuracy across all systems using SQL, Python, and .NET technologies.
Manage the architecture and performance of data scrapers built with Python, leveraging tools like Zyte and MongoDB.
Oversee and optimize backend services built with C#.
Administer scheduling systems like Hangfire for job orchestration and task automation.

Team Management

Lead a distributed team of data engineers, coordinating projects and tasks across multiple time zones.
Foster an environment of collaboration, ensuring clear and effective communication even when team members are not available simultaneously.
Conduct one-on-one check-ins.
Advocate for the team's goals and progress by liaising with leadership and other departments.
Plan projects and allocate resources effectively to ensure successful execution.
Collaborate across teams to deliver products used both internally and externally.

Remote Scouter