Nhl Data Engineer information
See salary details
$44.5K - $56.6K
0% of jobs
$56.6K - $68.7K
1% of jobs
$68.7K - $80.8K
3% of jobs
$80.8K - $92.9K
4% of jobs
$115.5K is the 25th percentile. Wages below this are outliers.
$105K - $117K
11% of jobs
$117K - $129.1K
12% of jobs
The median wage is $132.4K / yr.
$129.1K - $141.2K
45% of jobs
$141.2K - $153.3K
8% of jobs
$153.3K - $165.4K
5% of jobs
$165.4K - $177.5K
3% of jobs
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.
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.
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.
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?
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