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Remote Sports Programming Jobs (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks ... sports facility centers, healthcare facilities etc. Proficient in AutoCAD, Revit, and M.S. office ...

ABOUT EL1 SPORTS EL1 Sports is a national sports training company created by athletes, coaches, and ... Comfort with working in a purely remote environment (although candidates based in CA or WA may be ...

The engineering team currently has 22 team members consisting of developers, testers, DevOps, and ... Sports Reference is a remote-first company. Sports Reference is located in Philadelphia and non ...

New

Jump is transforming the live sports experience with its unique fan engagement platform designed for sports teams and venues. They are seeking talented engineers to join their remote-first team ...

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 ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Ontario, Canada - Remote & USA - Remote Experience: up to 15 years * 10-12 years of experience in ... Candidates with experience in domains such as Sports, Media, Entertainment, Gaming, Health, Fitness ...

Showing results 21-40

Remote Sports Programming information

See salary details

$25K

$88.9K

$149K

How much do remote sports programming jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote sports programming in the United States is $88,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Sports Programming vs Remote Sports Broadcasting?

AspectRemote Sports ProgrammingRemote Sports Broadcasting
CredentialsRelevant certifications in media, content creation, or sports managementMedia production, journalism, or broadcasting certifications
Work EnvironmentContent development, editing, and planning remotelyLive or recorded broadcasting, often involving remote studio setups
Employer & Industry UsageSports networks, media companies, digital platformsTV networks, online streaming services, radio stations
Search & Comparison IntentFocuses on content creation and programming for sports mediaFocuses on delivering live or recorded sports content to audiences

Remote Sports Programming involves creating, editing, and managing sports content remotely, while Remote Sports Broadcasting centers on delivering live or recorded sports events to viewers. Both roles require media-related skills but differ in their primary functions within the sports media industry.

More about Remote Sports Programming jobs

What cities are hiring for Remote Sports Programming jobs?

Cities with the most Remote Sports Programming job openings:

What are the most commonly searched types of Sports Programming jobs?

The most popular types of Sports Programming jobs are:

What states have the most Remote Sports Programming jobs?

States with the most job openings for Remote Sports Programming jobs include:

Infographic showing various Remote Sports Programming job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 10% In-person, and 90% Remote job distribution, with an average salary of $88,946 per year, or $42.8 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$145K/yr

Full-time

Posted 25 days ago


Job description

Company Overview
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
The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 4+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE
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 Engineering Locations San Francisco, CA - Remote Remote status Fully Remote