Data Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's data engineering market is concentrated in the Research Triangle, where companies like Lenovo, Red Hat, and SAS Institute regularly hire for data pipeline and platform roles. Charlotte's growing fintech sector adds another hiring hub. Many employers across both metros have established H-1B sponsorship track records for data engineering positions.
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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
Physical Activity Requirements
- Occasional (0-35% of day)
- Frequent (33-66% of day)
- Continuous (67-100% of day)
-
Not Applicable
-
Sitting
- Standing
- Walking
- Climbing
- Lifting (floor to waist level) (in pounds)
- Lifting (waist level and above) (in pounds)
- Carrying objects
- Push/pull
- Twisting
- Bending
- Reaching forward
- Reaching overhead
- Squat/kneel/crawl
- Wrist position deviation
- Pinching/fine motor skills
- Keyboard use/repetitive motion
- Taste or smell (taste=never)
- Talk or hear
Sensory Requirements
- Near Vision
- Far Vision
- Color Discrimination
Occupational Exposure Risk Potential
- Blood borne pathogens
- Chemical
- Airborne communicable diseases
- Extreme temperatures
- Radiation
- Uneven surfaces or elevations
- Extreme noise levels
- Dust/particulate matter
Other (exposure risks):
Usual workday hours:
- 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
Physical Activity Requirements
- Occasional (0-35% of day)
- Frequent (33-66% of day)
- Continuous (67-100% of day)
-
Not Applicable
-
Sitting
- Standing
- Walking
- Climbing
- Lifting (floor to waist level) (in pounds)
- Lifting (waist level and above) (in pounds)
- Carrying objects
- Push/pull
- Twisting
- Bending
- Reaching forward
- Reaching overhead
- Squat/kneel/crawl
- Wrist position deviation
- Pinching/fine motor skills
- Keyboard use/repetitive motion
- Taste or smell (taste=never)
- Talk or hear
Sensory Requirements
- Near Vision
- Far Vision
- Color Discrimination
Occupational Exposure Risk Potential
- Blood borne pathogens
- Chemical
- Airborne communicable diseases
- Extreme temperatures
- Radiation
- Uneven surfaces or elevations
- Extreme noise levels
- Dust/particulate matter
Other (exposure risks):
Usual workday hours:
- 8
- 10
- 12
- Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.
Data Engineer Job Roles in North Carolina
See all 437+ Data Engineer Jobs in North Carolina
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Search Data Engineer Jobs in North CarolinaData Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data engineers in North Carolina?
Several large employers in North Carolina have consistent H-1B sponsorship histories for data engineering roles. In the Research Triangle, SAS Institute, Red Hat, Lenovo, and Cisco are among the most active. Charlotte's financial services sector, including Bank of America and Wells Fargo, also sponsors data engineers regularly. University-affiliated research organizations and healthcare systems like UNC Health and Duke Health represent additional sponsoring employers.
Which visa types are most common for data engineer roles in North Carolina?
The H-1B is the most widely used visa for data engineers in North Carolina, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some candidates enter through OPT or STEM OPT extensions while working toward H-1B sponsorship. L-1B visas apply when a data engineer transfers from a foreign office of the same employer.
Which cities in North Carolina have the most data engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, has the highest concentration of data engineer sponsorship opportunities in North Carolina, driven by its tech, biotech, and SaaS company density. Charlotte is the second major hub, particularly within financial services and enterprise technology firms. Smaller clusters exist in Greensboro and Charlotte suburbs, though the Triangle and Charlotte account for the large majority of posted roles.
How to find data engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data engineer roles in North Carolina without sorting through positions that won't support international candidates. The platform surfaces openings from employers with confirmed sponsorship histories, which is particularly useful in markets like the Research Triangle and Charlotte where sponsoring and non-sponsoring companies often compete for the same talent.
Are there state-specific factors that affect data engineer visa sponsorship in North Carolina?
North Carolina's strong university pipeline, particularly from NC State, UNC Chapel Hill, and Duke, means employers in the state are accustomed to hiring international graduates and have established sponsorship processes. The Research Triangle Park designation also attracts technology and life sciences firms that tend to have in-house immigration support. Prevailing wage requirements for H-1B petitions are tied to the specific metro area, so wages in Raleigh and Charlotte differ from smaller North Carolina markets.
What is the prevailing wage for sponsored data engineer jobs in North Carolina?
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.
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