Senior Full Stack .NET Engineer / Technical Lead

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
• Architect, lead, and build full stack product experiences using C# and React
• Lead our 3rd party API strategy and technology stack
• Design, build, and maintain robust data pipelines that run proprietary ML models and power our internal data dashboarding.
• Ensure data integrity and accuracy across systems using SQL, Python, and .NET technologies.
• 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.

Requirements

Technical Expertise

• 8+ years Experience building backend services using .NET and deployment in the Azure Cloud
• Expertise in .NET (C#), with a strong foundation in SQL for data validation and analysis.
• Experience with delivering production-ready products using Azure services.
• Experience in data engineering, including designing and maintaining data pipelines and data transformation processes at scale

Leadership Skills

• 2+ years experience leading and mentoring engineering teams, balancing hands-on technical work with team management.
• Strong project management skills, including task prioritization, milestone setting, and stakeholder communication.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Ability to coordinate effectively across distributed teams and time zones.

Preferred Qualifications

• Experience with frontend technologies like React and TypeScript.
• Experience with data scraping tools like BeautifulSoup, Selenium, or Zyte.
• Experience with data storage technologies like MongoDB.
• Familiarity with scheduling tools such as Hangfire or equivalent systems.
• Proficiency in Python
• Familiarity with Docker, Terraform, Data Lakehouse, Apache Iceberg, Spark, Databricks

Benefits

What we Offer:

A reasonable estimate of the current base salary range is $150,000 to $175,000 plus an equity compensation package. The final base salary for this rol