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Sports Data Jobs (NOW HIRING)

Underdog

Senior Product Manager, Sports Predictions

OR · Remote

$160K - $240K/yr

Underdog's predictions product is growing fast - connected to multiple venues, sitting on top of a firehose of sports data, and still being shaped. We're looking for a Senior PM who's spent real time ...

Paramount

Sr Lead Product Manager

Fort Lauderdale, FL · On-site

$120K - $159K/yr

You will shape how real-time sports data moves from source systems into the fan experiences that define game day, from scores and stats to betting-adjacent and insight-rich product surfaces across ...

Paramount

Sr Lead Product Manager

Fort Lauderdale, FL

$120K - $159K/yr

You will shape how real-time sports data moves from source systems into the fan experiences that define game day, from scores and stats to betting-adjacent and insight-rich product surfaces across ...

Apple

Sports Business Development

Culver City, CA

$146K - $221K/yr

Apple's Sports team is seeking an experienced, thoughtful, and entrepreneurial individual to help drive business development across data and live events broadcasting. Description This role will ...

Apple

Sports Business Development

Culver City, CA

$146K - $221K/yr

Apple's Sports team is seeking an experienced, thoughtful, and entrepreneurial individual to help drive business development across data and live events broadcasting. Description This role will ...

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Sports Data information

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$10

$34

$63

How much do sports data jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for sports data in the United States is $34.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $56.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Sports Data position, and why are they important?

To thrive in Sports Data, you need strong analytical skills, a background in statistics or data science, and a solid understanding of sports rules and analytics. Familiarity with data visualization tools (such as Tableau or Power BI), coding languages (like Python or R), and sports data platforms is typically expected. Attention to detail, effective communication, and the ability to quickly interpret and present findings are valuable soft skills for this role. These competencies are crucial for delivering accurate insights and supporting decision-making in the fast-paced sports industry.

What are typical daily responsibilities for a Sports Data professional?

A Sports Data professional typically spends their day gathering, cleaning, and analyzing sports-related datasets, such as player statistics, game outcomes, or performance metrics. They often create reports or dashboards, use statistical models to identify trends, and present actionable insights to coaching staff, management, or broadcasting teams. Collaboration is common with analysts, coaches, and IT teams to ensure data accuracy and relevance. Maintaining data integrity and keeping up with the latest sports analytics tools are also key parts of the role.

What is a Sports Data job?

A Sports Data job involves collecting, analyzing, and interpreting sports-related statistics to provide insights for teams, media, bookmakers, and fans. Professionals in this field work with data from games, player performances, and team statistics to identify trends and patterns. Roles can include data analysts, statisticians, scouts, and developers who create models to predict outcomes. These jobs require strong analytical skills, statistical knowledge, and proficiency in tools like Excel, SQL, Python, or R.

More about Sports Data jobs
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Sports Data jobs near you
Senior Backend Software Engineer - Apple TV Sports

Senior Backend Software Engineer - Apple TV Sports

Apple

New York, NY • On-site

Full-time

Posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations capture to build innovative products, services, and experiences that enrich lives worldwide. By encouraging a culture of collaboration and diversity, we strengthen each other's ideas, unlocking innovation that runs through everything we do. Join us, and you'll do more than be part of something - you'll add something. Apple Sports is looking for an expert Backend Engineer to help redefine how users experience sports through the Apple Sports app, Apple TV, and more. As part of the Sports team, you'll collaborate with world-class engineers to create reliable, scalable solutions for processing and displaying real-time sports data. This is an outstanding opportunity to shape the sports experience for millions of users worldwide.
Join our Sports Backend Infrastructure team and build the engine that powers real-time sports experiences for millions of fans! As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining the highly available, real-time data services that ingest, process, and distribute sports data at massive scale. Your work will focus on building and optimizing high-throughput, low-latency distributed systems, ensuring exceptional performance, reliability, and scalability. You'll leverage industry-standard best practices for distributed architectures and collaborate with world-class engineers to deliver impactful features and execute on our technical roadmap. Additionally, you will have the opportunity to provide technical guidance and mentorship to junior engineers, fostering a culture of learning and growth.
5+ years of professional software engineering experience, building and deploying scalable, distributed systems in a production environmentStrong proficiency in Java, with demonstrated experience applying both Object-Oriented and Functional programming principlesSolid understanding of concurrency control mechanisms, fundamental data structures, and efficient algorithm designHands-on experience with with databases such as Cassandra and Redis, and stream processing platforms like KafkaProven ability to design and implement systems with a focus on scalability, fault tolerance, and high availabilityBachelor's degree in Computer Science, a related technical field, or equivalent practical experience
Experience building and optimizing real-time data pipelines, including data ingestion, transformation, and deliveryPractical experience with container orchestration using Kubernetes and building/maintaining CI/CD pipelinesFamiliarity with stream processing frameworks (e.g., Apache Flink, Apache Spark Streaming, Kafka Streams) and associated best practicesPassion for sports and the sports data ecosystemSelf-motivated with strong collaboration and communication skillsExperience working in a fast-paced, agile environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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