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Contractual Sports Data Collection Jobs (NOW HIRING)

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

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

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

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

AI Engineer

Manhattan, NY · On-site

$170 - $200/hr

... collection * Work with messy, multimodal sports data from tracking systems, video and computer vision outputs, audio, commentary, text, and structured feeds, including imperfect labels and ambiguous ...

New

NY · On-site

$110 - $160/hr

... collection, processing, analysis, and distribution of sports data and odds across more than 30 sports disciplines, including e-sports. The development teams based in Warsaw contribute to multiple ...

New

NY · On-site

$140 - $210/hr

... collection, processing, analysis, and distribution of sports data and odds across more than 30 sports disciplines, including e-sports. The development teams based in Warsaw contribute to multiple ...

New

Data Engineer

$160K - $190K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... You'll collaborate closely with our MLOps , and Sports Data teams to ensure seamless integration ...

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How much do contractual sports data collection jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contractual sports data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What cities are hiring for Contractual Sports Data Collection jobs?

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

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What states have the most Contractual Sports Data Collection jobs?

States with the most job openings for Contractual Sports Data Collection jobs include:

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$145K/yr

Full-time

Re-posted yesterday


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