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Sports Software Engineer Jobs in Washington, DC (NOW HIRING)

General Manager Sports Complex

Manassas, VA ยท On-site

$80 - $120/hr

Identify opportunities to expand programming, increase participation, and generate new business ... software is a plus. * Ability to work a flexible schedule, including evenings, weekends, and ...

New

QA Test Engineer

Bethesda, MD ยท Remote

$44.25 - $60.25/hr

... military and sports. What You'll Do * QA & Testing: Design, execute, and maintain manual and ... related software experience (internships, bootcamps, or strong personal projects considered)

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Showing results 1-20

Sports Software Engineer information

See Washington, DC salary details

$71.9K

$167.1K

$232.7K

How much do sports software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for sports software engineer in Washington, DC is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What is a sports software engineer?

A Sports Software Engineer develops and maintains software solutions for the sports industry, such as performance analysis tools, game simulations, fan engagement platforms, and sports data analytics. They work with technologies like AI, machine learning, and real-time data processing to enhance athletic performance, optimize team strategies, or improve user experiences. This role requires strong programming skills, knowledge of sports-specific data, and the ability to collaborate with coaches, analysts, and other stakeholders.

What are the key skills and qualifications needed to thrive as a sports software engineer?

To thrive as a Sports Software Engineer, you need a strong foundation in software development, proficiency in programming languages such as Python, C++, or JavaScript, and a good understanding of data structures and algorithms, often supported by a degree in computer science or related fields. Familiarity with technologies like sports analytics platforms, sensor data integration, RESTful APIs, and version control systems, as well as experience with cloud services or machine learning, is highly valuable. Soft skills such as teamwork, strong communication abilities, and adaptability help you collaborate with coaches, analysts, and non-technical stakeholders. These combined skills ensure you can design and implement effective software solutions that drive performance insights and user engagement in the sports industry.

What does a sports software engineer do?

As a Sports Software Engineer, you may work on projects like developing real-time analytics dashboards, building data pipelines for player and game statistics, or integrating wearable sensor data into coaching tools. Daily responsibilities often include collaborating with data scientists or sports analysts, designing user-friendly interfaces for coaches and athletes, and maintaining or optimizing existing systems. Many roles also involve ensuring accurate data capture, troubleshooting technical issues during live events, and customizing software for specific sports or teams. This work provides a dynamic environment where you see the direct impact of your code on athletic performance and team strategy.

What are the most commonly searched types of Sports Software Engineer jobs in Washington, DC? The most popular types of Sports Software Engineer jobs in Washington, DC are:
Infographic showing various Sports Software Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $167,085 per year, or $80.3 per hour.

Data Engineer (Wizards)

Monumental Sports & Entertainment

Washington, DC โ€ข On-site

$130K - $150K/yr

Full-time

Posted 4 days ago


Job description

Monumental Sports & Entertainment (MSE) is one of the leading integrated sports and entertainment companies globally. MSE's portfolio spans premier professional sports teams, world-class venues, and next-generation media properties, with marquee assets including the NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, NBA G League's Capital City Go-Go, Capital One Arena, and Monumental Sports Network, along with an investment in Team Liquid.
Rooted in the nation's capital, MSE brings Washington, D.C's distinct influence, ambition, and leadership to the global sports and entertainment landscape. The company harnesses the power of its platform to drive continuous innovation and deliver extraordinary experiences that inspire and unite our community, our fans, and our people.
Our success is powered by talented people who bring passion, creativity, and collaboration to everything they do. If you're looking to build your career in a dynamic, fast-paced organization that's shaping the future of sports and entertainment, we'd love to hear from you.
Position Overview:
The Data Engineer is responsible for creating and maintaining data infrastructure in a greenfield stack. This role will work with basketball statistical data from the NBA and other leagues, basketball qualitative data (e.g. scouting reports), and health and performance data, researchers and data scientists to build datasets that are clean and can be analyzed and visualized in web and mobile applications.
Do you have a passion for sports and building scalable data solutions and redefining sophisticated information into meaningful insights?! We would love to hear from you!
Responsibilities:
  • Create and maintain data pipelines to ingest, validate, and organize critical data using orchestration tools (e.g. Prefect).
  • Optimize pipelines and data storage to handle large datasets.
  • Build thorough data validation procedures to ensure data is of the highest quality.
  • Implement medallion architectures to organize our data structure and provide data lineage.
  • Work with key cross-department team members (front office executives, coaches, scouts, salary cap strategists, medical/performance directors, etc.) to build products, implement feedback, and efficiently fix bugs.
  • Keep up to date with emerging technologies like generative AI and integrate them into development workflows without using them as a crutch.
  • Other duties as assigned.
Minimum Qualifications:
  • 3+ years of professional software development experience.
  • Advanced knowledge of Python and SQL.
  • Experience using data engineering systems such as Prefect, dbt, etc.
  • Familiarity with open-source backend frameworks such as Rails, Django, Next.js, etc.
  • Passion for "building things the right way" using best practices (e.g., clean maintainable code; implementing unit tests, continuous integration, Git, detailed documentation, etc.)
  • Ability to effectively prioritize tasks and manage time efficiently.
  • Demonstrates high integrity; diligence, and ability to handle confidential information.
  • Experience with AWS, GCP, Microsoft Azure, or another cloud service.
  • Experience working with large datasets.
  • Familiarity with agile development frameworks.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Rate: $130k - $150k USD.
Benefit Eligibility: This role is eligible to participate in health and welfare benefits.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.