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Remote Aws Sports Analytics Jobs (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$160K/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 ...

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 ...

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 ...

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 ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

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 ...

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 ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

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Remote Aws Sports Analytics information

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

AspectRemote Aws Sports AnalyticsRemote Data Analyst
Required CredentialsExperience with AWS, sports analytics tools, programming (Python, R)Degree in data science, statistics, or related field; proficiency in Excel, SQL, visualization tools
Work EnvironmentSports organizations, tech companies, remote teamsVarious industries including finance, healthcare, marketing, remote options
Employer & Industry UsageSports teams, analytics firms, tech companiesMultiple sectors, broad application across industries
Search & Comparison IntentUnderstanding specialized sports data analysis with AWSGeneral data analysis roles across industries

Remote Aws Sports Analytics focuses on analyzing sports data using AWS cloud services, often requiring knowledge of sports metrics and cloud computing. Remote Data Analyst roles are broader, covering various industries and data types, with less emphasis on sports-specific skills. Both roles involve data interpretation and reporting but differ in industry focus and technical tools.

More about Remote Aws Sports Analytics jobs
What cities are hiring for Remote Aws Sports Analytics jobs? Cities with the most Remote Aws Sports Analytics job openings:
What are the most commonly searched types of Aws Sports Analytics jobs? The most popular types of Aws Sports Analytics jobs are:
What states have the most Remote Aws Sports Analytics jobs? States with the most job openings for Remote Aws Sports Analytics jobs include:
What job categories do people searching Remote Aws Sports Analytics jobs look for? The top searched job categories for Remote Aws Sports Analytics jobs are:
Infographic showing various Remote Aws Sports Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 23 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