Data Engineer Visa Sponsorship Jobs in Colorado
Colorado's data engineer job market is driven by Denver's growing tech sector, aerospace firms like Lockheed Martin and Raytheon, and a strong financial technology presence. Major employers including Palantir, Ibotta, and Ping Identity have sponsored data engineers in Colorado. Boulder's university ecosystem and Denver's downtown tech corridor are the primary hiring hubs.
See All Data Engineer JobsOverview
Showing 5 of 236+ Data Engineer Jobs in Colorado with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 236+ Data Engineer Jobs in Colorado with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs in Colorado with Visa Sponsorship.
Get Access To All JobsDescription
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
- Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
- Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
- Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
- Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
- 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 requirements for schema, latency, and freshness.
- Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
- Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
- Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.
Minimum Qualifications
- 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
- Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
- Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
- Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
- Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
- Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
- Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
- Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
- Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
- Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
- Prior experience in professional services, engineering, or construction environments is a plus.
- Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
We are GEI.
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry.
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion.
GEI’s Total Rewards Package Includes
- Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
- Pay Range For This Position: $90,000.00 – $150,000.00/year
- Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
- Well-Being Program and Paid Parental Leave
- Commuter Benefits
- Hybrid Work Schedules and Cell Phone Stipends
- GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
- Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
- Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
- Paid Holidays and Generous Paid Time Off Program
- Rewards and Recognition
- GEI-Funded Profit Sharing and 401(k)
- Opportunity to be an Owner and Shareholder
- A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
- And More…
Physical Requirements
WORK ENVIRONMENT
Functional Demands:
Sedentary
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours:
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.
Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
- Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
- Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
- Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
- Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
- 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 requirements for schema, latency, and freshness.
- Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
- Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
- Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.
Minimum Qualifications
- 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
- Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
- Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
- Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
- Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
- Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
- Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
- Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
- Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
- Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
- Prior experience in professional services, engineering, or construction environments is a plus.
- Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
We are GEI.
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry.
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion.
GEI’s Total Rewards Package Includes
- Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
- Pay Range For This Position: $90,000.00 – $150,000.00/year
- Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
- Well-Being Program and Paid Parental Leave
- Commuter Benefits
- Hybrid Work Schedules and Cell Phone Stipends
- GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
- Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
- Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
- Paid Holidays and Generous Paid Time Off Program
- Rewards and Recognition
- GEI-Funded Profit Sharing and 401(k)
- Opportunity to be an Owner and Shareholder
- A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
- And More…
Physical Requirements
WORK ENVIRONMENT
Functional Demands:
Sedentary
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours:
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.
Data Engineer Job Roles in Colorado
See all 236+ Data Engineer Jobs in Colorado
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Engineer Jobs in ColoradoData Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for data engineers in Colorado?
Several Colorado employers have sponsored data engineers through H-1B and other work visa programs, including Palantir Technologies (headquartered in Denver), Ibotta, Ping Identity, Lockheed Martin, and DaVita. Large national employers with Colorado engineering offices, such as Amazon Web Services and Deloitte, also regularly file sponsorship petitions for data engineering roles in the state.
Which visa types are most common for data engineer roles in Colorado?
The H-1B is the most common visa category for data engineers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Employers also sponsor L-1B transfers for engineers moving from overseas offices, and some roles qualify for O-1A consideration for candidates with demonstrated technical distinction.
Which cities in Colorado have the most data engineer sponsorship jobs?
Denver is by far the primary concentration point for data engineer sponsorship jobs in Colorado, hosting the headquarters or major offices of Palantir, Ibotta, and numerous fintech and healthcare data companies. Boulder is the second-largest hub, anchored by the University of Colorado ecosystem and companies like Zayo Group. Colorado Springs has a smaller but active presence, driven largely by defense and aerospace contractors.
How to find data engineer visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically by visa sponsorship, so you can search data engineer roles in Colorado without sifting through postings that don't offer sponsorship. The platform surfaces positions from employers actively willing to file petitions, which is particularly useful in Colorado where sponsorship availability varies widely between Denver's tech firms, Boulder's startups, and the defense sector in Colorado Springs.
Are there any Colorado-specific considerations for data engineers seeking visa sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to disclose pay ranges in job postings, which gives international candidates useful transparency when evaluating whether an offer meets H-1B prevailing wage requirements for the Denver-Aurora or Boulder metropolitan areas. The state's strong university pipeline from CU Boulder and Colorado State also means employers are accustomed to sponsoring candidates coming through academic and OPT pathways.
What is the prevailing wage for sponsored data engineer jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which data engineer employers are hiring and sponsoring visas in Colorado right now.
Search Data Engineer Jobs in Colorado