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Data Engineer Sports Analytics Jobs in Colorado (NOW HIRING)

2T Consulting

Data Engineer, Analytics

Lakewood, CO · On-site

$114K - $137K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design and implement scalable data models to support analytics and business intelligence.

2T Consulting

Data Engineer, Analytics

Lakewood, CO · On-site

$114K - $137K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design and implement scalable data models to support analytics and business intelligence.

2T Consulting

Data Engineer

Lakewood, CO · On-site

$114K - $137K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design and implement scalable data models to support analytics and business intelligence.

2T Consulting

Data Engineer

Lakewood, CO · On-site

$114K - $137K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design and implement scalable data models to support analytics and business intelligence.

Ruri Software Technologies LLC

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required ... Snowflake, Jenkins & Airflow experience is nice to have. • The analyst will be working on the ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ... collaborating with data scientists and analysts to ensure data quality and integrity.

Audacy, Inc.

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

You'll collaborate with other engineering teams, analytics, and product teams to design and drive ... sports and your favorite music across 220+ radio stations, premium podcasts, live events and ...

Audacy, Inc.

Senior Data Engineer

Denver, CO

$108K - $147K/yr

You'll collaborate with other engineering teams, analytics, and product teams to design and drive ... sports and your favorite music across 220+ radio stations, premium podcasts, live events and ...

Audacy, Inc.

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

You'll collaborate with other engineering teams, analytics, and product teams to design and drive ... sports and your favorite music across 220+ radio stations, premium podcasts, live events and ...

bet365

Senior Back-End Engineer, Sports Platform

Denver, CO · On-site

$125K - $155K/yr

... Engineer, you will be responsible for developing, maintaining and evolving our US Sports platform ... Our N-Tier distributed systems process large volumes of data, especially during high-profile ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

Data Engineer Location: USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL ... Datavail's Data Management and Analytics practice is made up of experts who provide a variety of ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

Data Engineer Location: USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL ... Datavail's Data Management and Analytics practice is made up of experts who provide a variety of ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

Data Engineer Location: USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL ... Datavail's Data Management and Analytics practice is made up of experts who provide a variety of ...

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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, Analytics

2T Consulting

Lakewood, CO • On-site

$114K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize enterprise-scale data engineering solutions. The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data warehousing, with experience building scalable data pipelines and modern cloud-based data platforms.

Primary Responsibilities

  • Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.
  • Build and optimize high-performance ETL/ELT pipelines and enterprise data warehouse solutions.
  • Design and implement scalable data models to support analytics and business intelligence.
  • Optimize data processing, storage, and query performance within Snowflake.
  • Leverage Cortex AI/GenAI capabilities for code generation, data validation, and pipeline optimization.
  • Collaborate with architects, business stakeholders, and cross-functional teams to deliver enterprise data solutions.
  • Lead technical design, implementation, and delivery of data engineering projects.
  • Mentor development teams and promote best practices in data engineering, CI/CD, and data governance.
  • Ensure high-quality, secure, and production-ready data solutions.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake, dbt, and Python.
  • Expertise in ETL/ELT pipeline development and enterprise data warehousing.
  • Strong knowledge of data modeling, data transformation, and performance optimization.
  • Experience with CI/CD pipelines, version control, and data governance best practices.
  • Exposure to Snowflake Cortex AI or Generative AI capabilities is highly preferred.
  • Excellent analytical, problem-solving, stakeholder management, and communication skills.

Preferred Qualifications

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of orchestration tools such as Apache Airflow.
  • Experience with DevOps, automation, and Infrastructure as Code (IaC).
  • Snowflake certifications are a plus.
  • Experience working in Agile/Scrum environments.

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