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Data Engineer Sports Analytics Jobs in Colorado (NOW HIRING)

Ookla

Data Engineer

Denver, CO

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products. * Support CI/CD, release management, automated testing, and ...

Pearson Education

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products. * Support CI/CD, release management, automated testing, and ...

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products. * Support CI/CD, release management, automated testing, and ...

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products. * Support CI/CD, release management, automated testing, and ...

Pearson

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products. * Support CI/CD, release management, automated testing, and ...

Apex Systems

Data Engineer

Highlands Ranch, CO · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Professional experience in data engineering, analytics engineering, software engineering, or a related technical field. * Advanced SQL skills, with the ability to write complex SQL from scratch.

Vantage Data Centers

Mid- Level Data Engineer, Global

Denver, CO

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As part of the Data Engineering & Business Intelligence team, you will be responsible for ... Collaborate with business analysts and crossfunctional stakeholders to translate data requirements ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability ...

Vantage Data Centers

Mid- Level Data Engineer, Global

Denver, CO · On-site

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As part of the Data Engineering & Business Intelligence team, you will be responsible for ... Collaborate with business analysts and cross-functional stakeholders to translate data requirements ...

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Showing results 21-40

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Colorado

Data Engineer Sports Analytics information

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Sports Analytics jobs in Colorado?

For Data Engineer Sports Analytics jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Data Engineer Sports Analytics jobs in Colorado look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Colorado are:

What cities in Colorado are hiring for Data Engineer Sports Analytics jobs?

Cities in Colorado with the most Data Engineer Sports Analytics job openings:

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Colorado as of August 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Data Engineer

Ookla

Denver, CO

Full-time

Posted 11 days ago

Job description

The Opportunity:

We’re looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

Key Responsibilities:

  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:

  • Bachelor's degree in Computer Science or related field or equivalent experience

  • 1+ year of professional experience in data engineering

  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

  • Workflow orchestrators (Dagster, Airflow, Prefect)

  • Experience working with Python

  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:

  • ETL/ELT design patterns

  • Experience with AWS cloud services

  • Experience with high volume distributed data processing in Spark

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.


Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.


About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.


Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.