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Aws Sports Analytics Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

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 ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Lorven Technologies

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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Aws Sports Analytics information

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$21K

$136.2K

$177.5K

How much do aws sports analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for aws sports analytics in the United States is $136,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $144,500.00 per year, depending on experience, location, and employer.

Is there a career in aws sports analytics?

A career in AWS sports analytics involves using Amazon Web Services tools to analyze sports data, requiring skills in data analysis, cloud computing, and sports metrics. Roles may include data scientist, analyst, or engineer, often requiring knowledge of programming languages like Python and familiarity with AWS services such as S3, Lambda, and SageMaker.

What are the key skills and qualifications needed for an AWS Sports Analytics role?

To excel in AWS Sports Analytics, you need expertise in data analysis, statistics, and a solid understanding of cloud computing, often supported by a degree in data science, computer science, or a related field. Proficiency with AWS services (such as S3, Redshift, and SageMaker), data visualization tools like Tableau or Power BI, and relevant certifications like AWS Certified Data Analytics are highly valuable. Strong communication, problem-solving skills, and the ability to collaborate effectively with cross-functional teams are essential soft skills. These competencies ensure you can deliver actionable sports insights, architect scalable solutions, and support data-driven decision-making in high-performance environments.

What is an AWS Sports Analytics job?

An AWS Sports Analytics job involves leveraging Amazon Web Services (AWS) to analyze sports data for performance insights, strategy optimization, and decision-making. Professionals in this role use cloud-based tools like AWS Glue, Lambda, SageMaker, and Redshift to process and visualize large datasets from games, athletes, and teams. They work with machine learning models, real-time analytics, and data pipelines to improve team performance, fan engagement, and business operations. This role requires expertise in data engineering, statistics, and cloud computing to turn raw sports data into actionable insights.

What are the day-to-day responsibilities of an AWS Sports Analytics professional?

In AWS Sports Analytics positions, you'll typically be responsible for collecting, cleaning, and analyzing large volumes of sports data using cloud-based tools. You may build or maintain machine learning models to predict player performance, optimize team strategies, or enhance fan engagement. Collaboration is frequent, as you'll work closely with data engineers, coaches, and stakeholders to translate data insights into actionable recommendations. The work environment is often fast-paced, requiring adaptability, attention to detail, and continuous learning to keep up with technological advancements and evolving sports analytics needs.

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Aws Sports Analytics jobs near you
Infographic showing various 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, with an average salary of $136,232 per year, or $65.5 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 26 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

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