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Sports Data Collection Jobs in California (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

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

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

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

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

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

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

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

AEG

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for instrumenting web data collection ... AEG is one of the leading sports and entertainment presenters in the world. AEG, a wholly owned ...

Noble Machines, Inc

Teleoperator

Sunnyvale, CA

At Noble Machines, building and operating robots is a team sport. We are seeking skilled Robotics Teleoperators & Data Collection Specialists to bridge the gap between human capability and robotic ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA

... festivals to sports and theater - at some of the most iconic venues in the world. Since our ... Provide day-to-day management of the data collection integrity, including evaluation, QA, and ...

AXS

Sr. Web Analytics Developer

Los Angeles, CA · On-site

... festivals to sports and theater - at some of the most iconic venues in the world. Since our ... Provide day-to-day management of the data collection integrity, including evaluation, QA, and ...

Noble Machines

Teleoperator

Sunnyvale, CA · On-site

They are seeking Robotics Teleoperators & Data Collection Specialists to operate and train robots ... sports, or other complex physical trades. • Technical Aptitude: Comfort working around complex ...

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All JobsSports Data Collection JobsSports Data Collection Jobs in California

Sports Data Collection information

What is a sports data collection?

A Sports Data Collection job involves gathering real-time or historical data from live sports events, such as player statistics, game scores, and play-by-play details. This data is often used by sportsbooks, media companies, and analytics firms to enhance coverage, betting services, and performance insights. Collectors may work onsite at sporting events or remotely using digital tools. Accuracy, attention to detail, and knowledge of the sport are essential for success in this role.

What are the key skills and qualifications needed to thrive in sports data collection, and why are they important?

A successful Sports Data Collection professional needs a sharp attention to detail, strong analytical abilities, and sound numerical skills, usually supported by a background in data analysis or sports management. Familiarity with data collection software (such as Dartfish or StatCrew), spreadsheet programs, and sometimes specialized certification in data analytics is often required. Excellent communication, reliability, and the ability to work efficiently under time constraints help individuals stand out in this role. These skills ensure the accurate, timely, and actionable reporting of sports data crucial for teams, media, and analytics organizations.

What are the typical challenges faced in a sports data collection role?

Sports Data Collection professionals often work in fast-paced environments where accuracy and timeliness are critical, particularly during live events. Balancing the pressure of capturing comprehensive data in real time while minimizing errors can be challenging, especially when games are unpredictable or involve rapid action. Additionally, working irregular hours—including evenings, weekends, or travel to sports venues—can be part of the job. However, these challenges come with the rewarding opportunity to play an integral role in the sports industry, interact closely with teams and events, and continually develop technical and interpersonal skills.

What are the most commonly searched types of Sports Data Collection jobs in California?

The most popular types of Sports Data Collection jobs in California are:

What are popular job titles related to Sports Data Collection jobs in California?

For Sports Data Collection jobs in California, the most frequently searched job titles are:

What job categories do people searching Sports Data Collection jobs in California look for?

The top searched job categories for Sports Data Collection jobs in California are:

What cities in California are hiring for Sports Data Collection jobs?

Cities in California with the most Sports Data Collection job openings:

Sports Data Collection jobs near you
Infographic showing various Sports Data Collection job openings in California as of August 2026, with employment types broken down into 52% Full Time, 43% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$145K/yr

Full-time

Re-posted 9 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

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