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Data Engineer Sports Analytics Jobs in Colorado (NOW HIRING)

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Possession of excellent problem-solving and analytical skills Clearance: Applicants selected will ...

As a data engineer at Booz Allen, you will focus on the foundational layer of our customer's modeling, simulation, and analysis environment. You will design, build, and deploy the scalable data ...

Data Engineer

Colorado Springs, CO · On-site

$61K - $141K/yr

As a data engineer at Booz Allen, you will focus on the foundational layer of our customer's modeling, simulation, and analysis environment. You will design, build, and deploy the scalable data ...

$90 - $130/hr

Develop and optimize data models for analytics and internal tools * Work with team members to ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...

New

Data Engineer, Mid

Aurora, CO · On-site

$78 - $176/hr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Data Engineer, Mid As a data engineer, you're excited at the prospect of unlocking the secrets held ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

The Business Intelligence team is a team of 6 highly collaborative, pragmatic, analytical individuals. We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Data Engineer

Denver, CO

$110K - $120K/yr

The Business Intelligence team is a team of 6 highly collaborative, pragmatic, analytical individuals. We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Data Engineer

Englewood, CO · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

The Business Intelligence team is a team of 6 highly collaborative, pragmatic, analytical individuals. We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... analysts to translate business requirements into scalable technical data solutions ▸ Monitor ... data engineering with at least 3 years on Google Cloud Platform ▸ Hands-on expertise with ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Collaborate with business analysts, data scientists, and stakeholders across Human Resources ... Contribute to a collaborative engineering culture throughstrong communication, ownership, and ...

Sr. Data Engineer

Denver, CO · On-site

$117K - $141K/yr

You will partner closely with data scientists, analysts, and product managers to ensure our ... Experience with GCP or AWS data engineering tools, big data frameworks * Experience with data ...

New

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build ...

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

Showing results 41-60

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:

Infographic showing various Data Engineer Sports Analytics job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer

Booz Allen Hamilton, Inc.

Colorado Springs, CO • On-site, Remote

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 27 days ago


Key responsibilities

  • Design, build, and deploy scalable data pipelines that ingest and transform disparate data sources into structured schemas.

  • Support the modeling, simulation, and analysis environment by providing a robust data infrastructure.

  • Work with multidisciplinary teams to enable insights and mission-critical models through data engineering activities.


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0246414
Location:
Colorado Springs,CO,US
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Data Engineer
The Opportunity:
Achieving data dominance provides a critical competitive advantage, especially in the frontier of space. For USSPACECOM, high-fidelity simulations rely entirely on the quality, speed, and structure of underlying data. We need a dedicated data engineer to build the robust data infrastructure that makes these advanced simulations possible.
As a data engineer at Booz Allen, you will focus on the foundational layer of our customer's modeling, simulation, and analysis environment. You will design, build, and deploy the scalable data pipelines that ingest disparate, multi-domain, and multi-classification data sources and transform them into clean, structured schemas. Your work will directly empower our multi-disciplinary team of exercise planners, systems architects, data scientists, and model-based system engineers to draw insights and execute mission-critical models.
Work with us to build the data foundation for the future of space operations.
Join us. The world can't wait.
You Have:
  • Experience in object-oriented programming such as Python, Java, or C++ and advanced SQL
  • Experience integrating APIs, designing data schemas, and normalizing complex, disparate datasets
  • Knowledge of database systems and data warehousing principles
  • Ability to design, build, and maintain robust ETL/ELT data pipelines at scale
  • TS/SCI clearance
  • Bachelor's degree in Data Science, Data Engineering, Computer Science, Software Engineering, or a STEM field

Nice If You Have:
  • Experience with infrastructure-as-code (IaC) and automation scripts
  • Experience integrating with Palantir Foundry or similar enterprise data fabrics
  • Experience with streaming data processing such as Apache Kafka or Spark
  • Experience working in an Agile engineering environment and supporting MLOps pipelines
  • Master's degree in a quantitative or systems-focused STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914