Data Engineer Jobs in Colorado
Data Engineer jobs in Colorado are concentrated in Denver, Boulder, and Colorado Springs, where companies like Lockheed Martin, Palantir, and Charter Communications maintain large technology operations and hire data engineers across seniority levels from junior to principal. Demand is especially strong for engineers with expertise in cloud data infrastructure, real-time streaming pipelines, and analytics engineering on platforms like Snowflake and dbt. Colorado's aerospace, telecommunications, and financial technology sectors have made it one of the more active hiring markets for this role in the Mountain West. See the openings below and apply to the ones that match your experience.
Find Data Engineer JobsOverview
Open roles67
Top employerHDR
Top cityDenver, CO
Cities hiring13
Work type54% Hybrid
Top industryEnergy
Showing 5 of 67+ Data Engineer jobs
Agentic Data Engineer II
We won't show you this job again
Added 1d ago
EchoStar
Agentic Data Engineer II
Littleton, Colorado
Added 1d ago
REMOTE_Graph Data Engineer / SPARQL Developer_Denver, CO
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Added 1d ago
THEMESOFT
REMOTE_Graph Data Engineer / SPARQL Developer_Denver, CO
Denver, Colorado
Added 1d ago
Sr. Data Engineer, Amazon Digital Advertising
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Added 1d ago
Amazon.com
Sr. Data Engineer, Amazon Digital Advertising
Boulder, Colorado
Added 1d ago
Manufacturing Engineer - Data Centers
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Added 1d ago
Motion & Flow Control Products
Manufacturing Engineer - Data Centers
Englewood, Colorado
Added 1d ago
Senior AI Data Center Network Engineer
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Added 2d ago
Bitdeer Technologies Group
Senior AI Data Center Network Engineer
Aurora, Colorado
Added 2d ago
Added 1d ago
Agentic Data Engineer II
EchoStar·Littleton, Colorado
Job functions:
$83k - $119k/yr
Master's degree
10,000+ employees
Job Description
Company Summary:
Organizations face growing complexities in managing and scaling data infrastructure for modern analytics and emerging AI initiatives. This role addresses these challenges by developing reliable data pipelines and maintaining robust workflows optimized for machine learning models and large language model consumption. Engineering teams must continuously balance technical performance with practical business outcomes to control cloud expenditure and avoid unnecessary computational overhead. Overcoming these hurdles requires implementing effective data observability, ensuring data governance, and collaborating cross-functionally to align operational data structures with business goals.
What Success Looks Like (Objectives):
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Salary Range: USD $83160.00 - $118800.00 / Year
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary:
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.
Job Duties and Responsibilities:
Candidates must be willing to participate in at least one in-person interview.
Organizations face growing complexities in managing and scaling data infrastructure for modern analytics and emerging AI initiatives. This role addresses these challenges by developing reliable data pipelines and maintaining robust workflows optimized for machine learning models and large language model consumption. Engineering teams must continuously balance technical performance with practical business outcomes to control cloud expenditure and avoid unnecessary computational overhead. Overcoming these hurdles requires implementing effective data observability, ensuring data governance, and collaborating cross-functionally to align operational data structures with business goals.
What Success Looks Like (Objectives):
- Implement scalable data pipeline designs that optimize current infrastructure performance and improve resource utilization
- Apply cost-effective engineering practices to prioritize development tasks that enhance operational efficiency and data deliverability
- Build and maintain reliable data pipelines tailored for large language model (LLM) feature stores and AI application workflows
- Develop automated monitoring and self-healing mechanisms to detect workflow failures and trigger corrective actions
- Integrate observability tools to track data freshness, lineage, and baseline performance metrics across production environments
- Structure complex datasets into standard semantic layers to enable low-latency access for downstream AI systems and analytical queries
Core Skills and Competencies (What you’ll bring):
- Practical experience developing and deploying production-grade data pipelines within cloud environments
- Demonstrated ability to evaluate technical stacks and optimize existing data processing workflows before introducing new tools
- Ability to build new AI Agents to support business operations
- Applied AI skills, specifically in integrating large language models and vector datasets into enterprise data pipelines
- Strong proficiency in Python and SQL for data transformation, scripting, and API integration
- Solid skills in Git version control, containerization tools, and CI/CD deployment pipelines
- Proven troubleshooting capabilities in diagnosing system bottlenecks and resolving issues within distributed data platforms
Additional Qualifications
- Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a closely related technical field
Minimum Requirements
- Minimum Education: Bachelor’s Degree in Computer Science or a related technical field
- Minimum Experience: 2 years of experience in data engineering
- Required Technical Skills: Must have at least 1 year of experience with:
- Databricks, including Spark optimization and Delta Lake architecture
- Snowflake, including building and optimizing relational data models
- Python and SQL for data manipulation
Visa sponsorship not available for this position
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
EchoStar
Agentic Data Engineer II
Littleton, Colorado
Added 1d ago10,000+ employees
Job functions:
$83k - $119k/yr
Master's degree
Job Description
Company Summary:
Organizations face growing complexities in managing and scaling data infrastructure for modern analytics and emerging AI initiatives. This role addresses these challenges by developing reliable data pipelines and maintaining robust workflows optimized for machine learning models and large language model consumption. Engineering teams must continuously balance technical performance with practical business outcomes to control cloud expenditure and avoid unnecessary computational overhead. Overcoming these hurdles requires implementing effective data observability, ensuring data governance, and collaborating cross-functionally to align operational data structures with business goals.
What Success Looks Like (Objectives):
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Salary Range: USD $83160.00 - $118800.00 / Year
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary:
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.
Job Duties and Responsibilities:
Candidates must be willing to participate in at least one in-person interview.
Organizations face growing complexities in managing and scaling data infrastructure for modern analytics and emerging AI initiatives. This role addresses these challenges by developing reliable data pipelines and maintaining robust workflows optimized for machine learning models and large language model consumption. Engineering teams must continuously balance technical performance with practical business outcomes to control cloud expenditure and avoid unnecessary computational overhead. Overcoming these hurdles requires implementing effective data observability, ensuring data governance, and collaborating cross-functionally to align operational data structures with business goals.
What Success Looks Like (Objectives):
- Implement scalable data pipeline designs that optimize current infrastructure performance and improve resource utilization
- Apply cost-effective engineering practices to prioritize development tasks that enhance operational efficiency and data deliverability
- Build and maintain reliable data pipelines tailored for large language model (LLM) feature stores and AI application workflows
- Develop automated monitoring and self-healing mechanisms to detect workflow failures and trigger corrective actions
- Integrate observability tools to track data freshness, lineage, and baseline performance metrics across production environments
- Structure complex datasets into standard semantic layers to enable low-latency access for downstream AI systems and analytical queries
Core Skills and Competencies (What you’ll bring):
- Practical experience developing and deploying production-grade data pipelines within cloud environments
- Demonstrated ability to evaluate technical stacks and optimize existing data processing workflows before introducing new tools
- Ability to build new AI Agents to support business operations
- Applied AI skills, specifically in integrating large language models and vector datasets into enterprise data pipelines
- Strong proficiency in Python and SQL for data transformation, scripting, and API integration
- Solid skills in Git version control, containerization tools, and CI/CD deployment pipelines
- Proven troubleshooting capabilities in diagnosing system bottlenecks and resolving issues within distributed data platforms
Additional Qualifications
- Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a closely related technical field
Minimum Requirements
- Minimum Education: Bachelor’s Degree in Computer Science or a related technical field
- Minimum Experience: 2 years of experience in data engineering
- Required Technical Skills: Must have at least 1 year of experience with:
- Databricks, including Spark optimization and Delta Lake architecture
- Snowflake, including building and optimizing relational data models
- Python and SQL for data manipulation
Visa sponsorship not available for this position
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
See All 67 Data Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Colorado Springs
9 jobsBoulder
5 jobsAurora
4 jobsLakewood
3 jobsEnglewood
2 jobsLittleton
2 jobsFort Collins
2 jobsRifle
1 jobGolden
1 jobBroomfield
1 jobCentennial
1 jobGreenwood Village
1 jobData Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Energy
- Accounting & Auditing
- Chemicals & Materials
- Staffing & Recruiting
- Technology & Software
What Colorado Employers Look For
The qualifications that appear most often in data engineer jobs across Colorado.
- Bachelor's degree in computer science, engineering, statistics, or a related technical field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining data pipelines using tools like Apache Spark or Airflow
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and their managed data services
- Experience with data warehousing solutions including Snowflake, BigQuery, or Redshift
- Strong understanding of data modeling concepts, ETL design patterns, and data quality practices
Data Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a data engineer in Colorado?
Data engineering has no state-issued license or registration requirement in Colorado, so the path focuses on education and demonstrated technical skills. Most Colorado employers look for a bachelor's degree in computer science, information systems, or a related field, though strong candidates also come from bootcamps paired with a portfolio of pipeline projects. Building experience with cloud platforms used heavily by Colorado's aerospace and tech sectors, such as AWS and Azure, strengthens a candidacy considerably.
Which companies hire data engineers in Colorado?
Colorado data engineer roles are posted by HDR, True Anomaly, and Amazon Web Services and others right now, based on current listings on Migrate Mate as of September 2026. Colorado's mix of aerospace primes, telecommunications firms, and financial technology companies means openings appear across a wider range of industries than in purely software-focused markets.
Which Colorado cities have the most data engineer jobs?
Denver, Colorado Springs, and Boulder account for the largest share of data engineer openings in Colorado. Denver drives the bulk of demand as the state's primary corporate and technology hub, while Boulder's concentration of software and research organizations adds a steady stream of roles, and Colorado Springs benefits from defense and government contractors that rely on data infrastructure teams.
Are there remote data engineer jobs in Colorado?
Yes, and more than most fields. About 78% of data engineer openings tied to Colorado are remote or hybrid as of September 2026, reflecting how well the work translates to distributed teams. Pipeline development, data modeling, and analytics engineering are the sub-areas most commonly posted as fully remote, while roles tied to on-premises government or defense environments tend to require at least partial on-site presence.
How can I get hired as a data engineer in Colorado with little or no experience?
The most realistic entry path is moving into data engineering from an adjacent role such as data analyst, business intelligence developer, or software developer, since Colorado employers like Palantir, Dish Network, and Charter Communications regularly post associate and junior data roles that value existing technical fundamentals over direct pipeline experience. Building a portfolio of public projects using dbt, Airflow, or a cloud data warehouse and earning a vendor certification from AWS or Google Cloud gives candidates without a formal data engineering title a concrete edge in Colorado applications.
Where can I find and apply to data engineer jobs in Colorado?
You can find and apply to data engineer jobs in Colorado on Migrate Mate, which lists current openings tied to the state. Search the listings to find roles that fit your experience level, specialization, and preferred location within Colorado, then apply directly to the ones that match.
See All 67 Data Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
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