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Nfl Engineer Jobs in California (NOW HIRING)

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 ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Image Engineering

Mechanical Design Engineer

Valencia, CA

$77K - $104K/yr

We are looking for a dedicated engineer interested in joining Image Engineering to design and engineer the next cutting edge entertainment technology, whether for game day presentation on an NFL ...

Image Engineering

Mechanical Design Engineer

Valencia, CA · On-site

$77K - $104K/yr

We are looking for a dedicated engineer interested in joining Image Engineering to design and engineer the next cutting edge entertainment technology, whether for game day presentation on an NFL ...

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All JobsNfl Engineer JobsNfl Engineer Jobs in California

Nfl Engineer information

See California salary details

$21.1K

$73.9K

$155.7K

How much do nfl engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for nfl engineer in California is $73,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,721.00 and $102,329.00 per year, depending on experience, location, and employer.

Do engineers work for the NFL?

Engineers can work for the NFL in roles related to stadium technology, broadcast systems, or digital infrastructure. These positions often require technical skills in networking, audio-visual systems, or software development, and may involve working on game-day operations or league-wide projects.

How do NFL Engineers typically collaborate with other departments during the football season?

NFL Engineers frequently work alongside coaching staff, video analysts, and IT professionals to ensure that all technical systems—such as player tracking, data analysis, and communication networks—function seamlessly during practices and games. Regular cross-departmental meetings and real-time troubleshooting are common, especially on game days when quick fixes are critical. This collaborative environment requires strong communication skills and the ability to adapt to fast-paced, high-pressure situations, making teamwork a key aspect of the role.

What are the key skills and qualifications needed to thrive as an NFL Engineer, and why are they important?

To thrive as an NFL Engineer, you need a solid background in computer science or engineering, strong problem-solving abilities, and experience with data analytics, often supported by a relevant degree. Familiarity with sports technology platforms, broadcast systems, and programming languages such as Python or SQL is typically required, along with certifications in network or software engineering. Excellent teamwork, communication, and adaptability help NFL Engineers collaborate with coaches, analysts, and technical teams in high-pressure environments. These skills are crucial for ensuring reliable technology performance, accurate data analysis, and seamless operations during NFL games and events.

How much do NFL software engineers make?

NFL software engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific responsibilities. They often work with data analysis, software development, and sports technology tools in a fast-paced environment.

How much do NFL broadcast engineers make?

NFL broadcast engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the level of responsibility. They work with broadcast equipment, video systems, and live production technology, often requiring technical certifications and the ability to work under tight deadlines.

What is the difference between Nfl Engineer vs Network Engineer?

AspectNfl EngineerNetwork Engineer
CertificationsRelevant certifications like Cisco CCNA, CompTIA Network+Same certifications such as Cisco CCNA, CompTIA Network+
Work EnvironmentDesigning, testing, and implementing NFL-specific systems and infrastructureDesigning, installing, and maintaining computer networks for organizations
Industry UsagePrimarily in sports and entertainment industry, especially NFL teams and venuesAcross various industries including IT, telecommunications, and corporate sectors

While both roles require similar certifications and involve network-related work, an Nfl Engineer specializes in NFL-specific systems and infrastructure, often within sports organizations, whereas a Network Engineer works across diverse industries focusing on general network design and maintenance.

How much does an NFL engineer make?

The salary of an NFL engineer varies based on experience, location, and specific role, but generally ranges from $70,000 to over $120,000 annually. Engineers working in specialized fields such as software, network, or broadcast engineering may earn higher salaries, especially with advanced skills and certifications. Compensation can also include benefits like bonuses and performance incentives.

What is an NFL Engineer?

An NFL Engineer is a professional responsible for designing, maintaining, and improving the technology infrastructure used by the National Football League (NFL). This can include working on broadcast technology, data analytics systems, player tracking devices, and stadium infrastructure. NFL Engineers play a crucial role in ensuring that games are broadcast smoothly, data is accurately captured and analyzed, and stadiums are equipped with the latest technological advancements. Their work supports both the league's operations and the fan experience.
What are popular job titles related to Nfl Engineer jobs in California? For Nfl Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Nfl Engineer jobs in California look for? The top searched job categories for Nfl Engineer jobs in California are:
Nfl Engineer jobs near you
Infographic showing various Nfl Engineer job openings in California as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $73,913 per year, or $35.5 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 22 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 an NFL 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 NFL, CFB, 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: Starting at $140,000
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 NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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