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Nhl Data Engineer Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

AEG

Data Engineer, Business Strategy & Analytics

Nashville, TN · On-site

$110K - $132K/yr

The Data Engineer will be a key contributor in the overall business supporting the Organization's NHL, Arena, and Sabertooth Sports & Entertainment business units. The Data Engineer will play a key ...

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... We are looking for a Senior ML / Data Engineer to build the data infrastructure that powers this ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... We are looking for a Senior ML / Data Engineer to build the data infrastructure that powers this ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... We are looking for a Senior ML / Data Engineer to build the data infrastructure that powers this ...

AEG

Data Architect

Manhattan, NY · On-site

$175K - $200K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Coordinate with Infrastructure, DevOps, and Security teams on capacity planning, patching cadence ...

AEG

Senior Manager, Digital Data Solutions

Manhattan, NY · On-site

$150K - $185K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Partner with security and platform engineering on data access, connectivity, and hosting decisions ...

AEG

Site Reliability Engineer, SaaS

Manhattan, NY · On-site

$145K - $175K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Azure log analytics and data platforms. * Slack administration and integrations. * Adobe ...

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All JobsNhl Data Engineer Jobs

Nhl Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do nhl data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for nhl data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an NHL data engineer?

An NHL Data Engineer is a technology professional who designs, builds, and maintains the data infrastructure for the National Hockey League (NHL). They are responsible for collecting, processing, and storing large volumes of hockey-related data, such as player statistics, game outcomes, and tracking data. NHL Data Engineers work closely with analysts and data scientists to ensure that the data is accurate, accessible, and optimized for analysis and reporting. Their work supports advanced analytics, player performance evaluation, and strategic decision-making within the league and its teams.

How does an NHL data engineer typically collaborate with analysts, coaches, and other stakeholders to deliver actionable insights?

As an NHL Data Engineer, you'll work closely with data analysts, performance coaches, and sometimes even coaching staff to ensure that raw game or practice data is transformed into usable formats. Your role involves building and maintaining data pipelines, ensuring data quality, and providing timely access to stats and analytics tools. Regular meetings and feedback sessions are common, as stakeholders will often request custom reports or new metrics. Strong communication skills are essential since translating technical concepts into practical insights is a big part of helping the team make informed decisions.

What are the key skills and qualifications needed to thrive as an NHL data engineer, and why are they important?

To thrive as an NHL Data Engineer, you need expertise in data modeling, ETL processes, and programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (like AWS or Azure), and experience with sports data APIs are commonly required. Strong problem-solving abilities, attention to detail, and effective collaboration skills set exceptional candidates apart. These skills are crucial for building reliable data pipelines and analytics that support team strategy, player performance insights, and business decisions within the NHL ecosystem.

What are popular job titles related to Nhl Data Engineer jobs?

For Nhl Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Nhl Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

San Francisco, CA • On-site, Remote

Swish Analytics
Spectator Sports • 1 - 10 employees
Learn more about Swish Analyticsexternal

$160K/yr

Full-time

Re-posted 21 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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