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Sports Betting Software Developer Jobs (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Adhere to software engineering best practices and contribute to shared code repositories.

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Adhere to software engineering best practices and contribute to shared code repositories.

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Adhere to software engineering best practices and contribute to shared code repositories.

Fanatics Betting & Gaming

Senior Systems Engineer

Atlanta, GA · On-site

$100K - $137K/yr

Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Adhere to software engineering best practices and contribute to shared code repositories.

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Adhere to software engineering best practices and contribute to shared code repositories.

Bet365

Enterprise Software Architect

Denver, CO · On-site

$150K - $185K/yr

Spearhead the architectural design and strategy for our next-generation US Sports Betting and ... and engineered solutions are in strict adherence to the architectural vision. • Act as the ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports ... Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer ...

Fanatics Betting & Gaming

Senior Systems Engineer

Atlanta, GA · On-site

$100K - $137K/yr

Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ...

bet365

Enterprise Software Architect

Denver, CO

Specific experience in the Sports betting industry will be considered a significant advantage ... A profound passion for technology, underpinned by robust engineering principles and leadership ...

bet365

Enterprise Software Architect

Denver, CO · On-site

$150K - $185K/yr

Specific experience in the Sports betting industry will be considered a significant advantage ... A profound passion for technology, underpinned by robust engineering principles and leadership ...

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Showing results 21-40

All JobsSports Betting Software Developer Jobs

Sports Betting Software Developer information

See salary details

$48K

$111.8K

$166K

How much do sports betting software developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sports betting software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a sports betting software developer?

Sports Betting Software Developers are specialized software engineers who design, build, and maintain digital platforms that allow users to place bets on sports events. They work with complex algorithms to ensure real-time odds calculation, secure payment processing, and a seamless user experience. Their responsibilities include developing user interfaces, integrating data feeds from sports events, and ensuring compliance with legal and regulatory requirements. These professionals play a crucial role in creating reliable, scalable, and secure betting environments for both operators and end users.

What are some common challenges sports betting software developers face when ensuring platform reliability during high-traffic events?

Sports Betting Software Developers often encounter significant challenges in maintaining platform stability and performance during major sporting events, when user activity can spike dramatically. These challenges include handling high concurrency, preventing downtime, and ensuring real-time accuracy of odds and results. Developers must implement scalable architectures, robust load balancing, and thorough testing to mitigate these risks. Collaboration with DevOps teams and constant monitoring are also essential to quickly address any issues that arise during peak periods.

What are the key skills and qualifications needed to thrive as a sports betting software developer, and why are they important?

To thrive as a Sports Betting Software Developer, you need strong programming skills (such as Python, Java, or C++), a background in computer science or related field, and a solid understanding of betting systems and algorithms. Familiarity with database management, API integration, cloud platforms, and experience with regulatory compliance tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this fast-paced environment. These skills and qualities are essential to ensure the development of reliable, secure, and user-friendly betting platforms that comply with industry standards.

What is the difference between Sports Betting Software Developer vs Sports Betting Game Designer?

AspectSports Betting Software DeveloperSports Betting Game Designer
Required CredentialsProgramming certifications, computer science degreeDesign certifications, game design degree
Work EnvironmentSoftware development teams, tech companiesCreative teams, gaming companies
Employer & Industry UsageSports betting platforms, online gambling industryCasino and gaming industry, online platforms
Common Search & Comparison IntentTechnical skills, software development rolesGame design, creative roles in betting games

While both roles are involved in the sports betting industry, a Sports Betting Software Developer focuses on coding and building betting platforms, whereas a Sports Betting Game Designer concentrates on creating engaging betting games and user experiences. Understanding these differences helps employers and job seekers target the right skills and career paths within the industry.

More about Sports Betting Software Developer jobs
What cities are hiring for Sports Betting Software Developer jobs? Cities with the most Sports Betting Software Developer job openings:
What states have the most Sports Betting Software Developer jobs? States with the most job openings for Sports Betting Software Developer jobs include:
What job categories do people searching Sports Betting Software Developer jobs look for? The top searched job categories for Sports Betting Software Developer jobs are:
Sports Betting Software Developer jobs near you
Infographic showing various Sports Betting Software Developer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Re-posted 24 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: $135,000 - $190,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully Remote

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