2

Remote Sports Data Operator 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 full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Experience with scalable ETL/ELT, and operating predictive models in production a plus * Experience ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Experience with scalable ETL/ELT, and operating predictive models in production a plus * Experience ...

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 ...

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 ...

next page

Showing results 1-20

Remote Sports Data Operator information

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

AspectRemote Sports Data OperatorRemote Sports Data Analyst
CredentialsBasic data entry skills, familiarity with sports terminologyAdditional analytical skills, possibly a degree in statistics or related field
Work EnvironmentRemote, primarily data entry and managementRemote, includes data analysis and reporting tasks
Employer & Industry UsageSports data companies, media outlets, betting firmsSports analytics firms, media, betting companies
Search & Comparison IntentUnderstanding entry-level sports data rolesLooking for analytical or advanced data roles in sports

The main difference between a Remote Sports Data Operator and a Remote Sports Data Analyst lies in their responsibilities and skill requirements. Data Operators focus on data entry and management, requiring basic skills, while Data Analysts perform deeper analysis, often needing advanced statistical knowledge. Both roles are remote and serve the sports industry, but Analysts typically handle more complex tasks and insights.

What are the most commonly searched types of Sports Data Operator jobs in California? The most popular types of Sports Data Operator jobs in California are:
What are popular job titles related to Remote Sports Data Operator jobs in California? For Remote Sports Data Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Sports Data Operator jobs in California look for? The top searched job categories for Remote Sports Data Operator jobs in California are:
What cities in California are hiring for Remote Sports Data Operator jobs? Cities in California with the most Remote Sports Data Operator job openings:
Infographic showing various Remote Sports Data Operator job openings in California as of August 2026, with employment types broken down into 70% Full Time, 21% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 21 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