ZipRecruiter

Log In

1

Aws Sports Analytics Jobs (NOW HIRING)

SumerSports LLC

MLOps / ML Platform Engineer

$170K - $200K/yr

Deep knowledge of Kubernetes, CI/CD, containers, and cloud infrastructure (AWS, GCP, or Azure ... Background in sports analytics or other high-volume data domains. * Experience integrating LLM ...

Montana Energie

$105.42 - $152.28/hr

... Dienstleistern * Analytische und strukturierte Arbeitsweise sowie ausgeprägtes ... Sport und Gesundheit: Attraktives Gesundheitsmanagement mit Wellpass , JobRad oder betrieblicher ...

Genesis10

C# .Net/AWS Developer

Woodbridge, NJ · On-site

$97K - $134K/yr

Develop and implement new features for web applications like sports contests and instant win games ... S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants ...

Algomine

NY · On-site

$120 - $150/hr

Designing and managing end-to-end projects - from analysis and PoC to production implementation ... Private healthcare and sports card * Flexible working hours and the possibility of 100% remote work

Catapult Sports

Senior Software Engineer (Golang)

Boston, MA · On-site

$133K - $175K/yr

... analytics to coaches, support staff, sports scientists and athletes. The systems you build will ... Experience with AWS, ideally including ECS, EC2, Lambda, SNS and SQS * Working knowledge of ...

Catapult Sports

Senior Software Engineer (Golang)

Boston, MA · On-site

$133K - $175K/yr

... analytics to coaches, support staff, sports scientists and athletes. The systems you build will ... Experience with AWS, ideally including ECS, EC2, Lambda, SNS and SQS * Working knowledge of ...

previous page

Showing results 41-60

All JobsTechnology JobsAws Sports Analytics Jobs

Aws Sports Analytics information

See salary details

$21K

$136.2K

$177.5K

How much do aws sports analytics jobs pay per year?

As of Sep 7, 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.

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.

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.

Are AWS Sports Analytics jobs still in demand?

AWS Sports Analytics jobs are in demand as sports organizations increasingly adopt cloud-based data analysis and machine learning tools. These roles often require skills in data science, AWS services, and sports data management, with demand driven by the growth of digital sports analytics and real-time data processing.

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. Professionals often work with data visualization, machine learning, and real-time data processing to support team strategies and performance insights.
More about Aws Sports Analytics jobs

What cities are hiring for Aws Sports Analytics jobs?

Cities with the most 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 Aws Sports Analytics jobs?

States with the most job openings for Aws Sports Analytics jobs include:

What job categories do people searching Aws Sports Analytics jobs look for?

The top searched job categories for Aws Sports Analytics jobs are:

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 50% Part Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $136,232 per year, or $65.5 per hour.

Software Engineer (Fulltime - Onsite)

Cleo Consulting

Stamford, CT • On-site

Contractor

Re-posted 2 days ago

Key responsibilities

  • Read and write Python for scripting and automation tasks.

  • Develop and maintain full-stack applications using the T3 stack (TypeScript, Python, AWS).

  • Collaborate with the team to build tools and integrations involving AI/LLM APIs and automate workflows.

Job description

Job Title: Software Engineer
Location: Stamford, Connecticut
Full-time On-site no remote OR Hybrid

Hiring Manager notes

  • Fast process with responsive HM: Interview process is just a 15-min phone screen, one technical round (live coding), and a behavioral/onsite.
  • High fillability with clear specs: The hiring manager gave extremely specific requirements (T3 stack, Python, LLM APIs) and a concrete example candidate profile.

About

  • Client is an investment firm managing roughly $700 million, primarily a hedge fund with some private equity.
  • Team of 10, split between Fort Worth, Texas, and Stamford, Connecticut.

Role Requirements

  • Looking for a full-stack generalist with experience in the T3 stack (TypeScript, Python, AWS).
  • Proficiency in Python is necessary; familiarity with AI engineering, automation, and finance is a plus.
  • Required: 2 - 7 years of experience in full-stack software development experience, with proficiency in the T3 stack and python
  • Must have: Ability to read and write Python for scripting and automation
  • Experience with relational databases and writing production-quality SQL

Nice to have

  • Experience with AI/LLM APIs to build automations or agentic workflows
  • Finance, fintech, or quant-adjacent company background (including additional major/minor in undergrad)

Compensation and Logistics

  • Role is in-person in Stamford, Connecticut, five days a week.
  • Base salary range from $160,000 to $230,000, with potential discretionary bonus.
  • Interview Process
  • Initial screen, followed by 15-minute phone call, technical round, behavioral round, and on-site interview.
  • Technical assessments may involve building a project in real-time to evaluate problem-solving and coding skills.
  • Traits to avoid Job hopper — multiple short stints (e.g., 5 companies in 7 years)

Questions to ask

  • What's something cool you've built outside of a professional context — whether it's a personal tool, a side project, a sports betting model, or anything else you made just because you were curious?
  • What's your familiarity or interest in financial markets, investing, or other data-driven/quantitative domains like sports analytics?

About Client

  • Client is an investment firm founded 8.5 years ago that manages approximately $700 million in assets. The firm operates as a combination of hedge fund and private equity, with a flexible mandate spanning fundamental equities, credit investing, and private equity investing.
  • Client has delivered top 1 percentile net returns since inception, with high-20s net annualized performance. The firm has grown from $5 million on day one to ~$700 million under management, and counts some of the top universities in the world among its investors.
  • Client Labs is the quantitative research and technology arm supporting the Client Opportunities Fund. Their work spans three core areas:
  • Portfolio Support & Analytics: Serving as a research partner to the portfolio manager and fundamental analyst team, identifying areas of strength and weakness through rigorous quantitative analysis and building tools to improve core fund performance.
  • Risk Management: Designing and deploying custom factor hedges, constructing bespoke hedge baskets tailored to the fund's specific risk profile.
  • Alpha Factor Research: Developing proprietary alpha factors using fundamental and alternative data sources to identify high- and low-quality businesses, with potential to operate as standalone systematic investment strategies.
  • The firm is investing heavily in building proprietary software tools and AI integrations across every aspect of the research process — from idea generation to position sizing to LLM integrations — creating real technological edge in investment research.

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”