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Remote Sports Data Jobs in California (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

... 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 ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

Firstup is a sports and communication platform dedicated to taking the work out of play in youth ... Remote-First Places to Work . Firstup believes in the power of data to produce great business ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

This is a full-time remote position. Key Responsibilities * Developing batch and streaming / event ... Strong passion and deep curiosity about sports and entertainment * Experience deploying and ...

New

This is a full-time remote position. Key Responsibilities * Developing batch and streaming / event ... Strong passion and deep curiosity about sports and entertainment * Experience deploying and ...

New

Come share your expertise while learning more about this growing sports and entertainment ... This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ...

New

Come share your expertise while learning more about this growing sports and entertainment ... This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ...

New

Account Coordinator, Sports

Los Angeles, CA · On-site +1

$57K - $60K/yr

This role is remote and will work east coast hours (9:00 AM - 6:00 PM ET). The right candidate for ... Gather feedback and survey data on presentations to develop product insights. * Engage and educate ...

... sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

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Showing results 1-20

Remote Sports Data information

What is the difference between Remote Sports Data vs Remote Sports Analyst?

AspectRemote Sports DataRemote Sports Analyst
Required CredentialsKnowledge of data management, basic sports statisticsSports knowledge, analytical skills, sometimes degrees in sports management or related fields
Work EnvironmentPrimarily data entry, database management, remoteData analysis, reporting, remote or on-site
Employer & Industry UsageSports teams, media companies, data providersMedia outlets, sports organizations, analytics firms

Remote Sports Data roles focus on managing and organizing sports-related data, requiring technical skills and data handling. Remote Sports Analysts interpret this data to provide insights, often needing sports knowledge and analytical expertise. Both roles are remote-friendly but differ in their core responsibilities and skill sets.

What are the typical daily tasks for someone working in a Remote Sports Data role?

In a Remote Sports Data role, your daily responsibilities often include collecting, verifying, and entering real-time data from live sporting events, as well as analyzing statistics to ensure accuracy. You may also collaborate with other data analysts or sports editors to resolve discrepancies and update databases. Communication is key, as you’ll frequently coordinate with team members across different time zones using digital tools. Meeting tight deadlines and maintaining high attention to detail are common challenges, especially during major sports seasons when data volume increases.

What are the key skills and qualifications needed to thrive as a Remote Sports Data Analyst, and why are they important?

To thrive as a Remote Sports Data Analyst, you need strong analytical abilities, attention to detail, and proficiency in statistics or a related field, often supported by a relevant degree. Familiarity with data analysis tools like Excel, SQL, Python, or specialized sports data platforms is highly valuable. Excellent communication, time management, and problem-solving skills help you collaborate effectively and deliver insights in a remote environment. These skills and qualifications are vital for providing accurate, timely sports data that supports decision-making for teams, media, and betting organizations.

What are remote sports data jobs?

Remote sports data jobs involve collecting, analyzing, and managing information related to sports events, teams, and athletes, all while working from a location outside the traditional office. These roles can include data entry, statistical analysis, live event reporting, and database management, often supporting media, betting, or analytics companies. People in these positions typically use specialized software and must have a keen eye for detail as well as a good understanding of various sports. Remote sports data jobs offer flexibility and the opportunity to work with global organizations, making them appealing to sports enthusiasts with strong data skills.
What are popular job titles related to Remote Sports Data jobs in California? For Remote Sports Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Sports Data jobs in California look for? The top searched job categories for Remote Sports Data jobs in California are:
What cities in California are hiring for Remote Sports Data jobs? Cities in California with the most Remote Sports Data job openings:
Infographic showing various Remote Sports Data job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 12 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 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 2+ 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
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - 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