Data Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for data engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, AT&T, ExxonMobil, and a dense cluster of Austin-based startups and enterprise software companies regularly file H-1B petitions for data engineering roles across the state.
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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 (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 Texas
See all 1,623+ Data Engineer Jobs in Texas
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Search Data Engineer Jobs in TexasData Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data engineers in Texas?
Several large employers in Texas have consistent H-1B filing histories for data engineering roles. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and American Airlines in the Dallas-Fort Worth area, and ExxonMobil and Chevron in Houston. Enterprise software firms, financial services companies, and mid-size tech startups across the state also regularly sponsor data engineers, particularly those with experience in cloud platforms, pipeline architecture, and distributed systems.
Which visa types are most common for data engineer roles in Texas?
The H-1B is the most common visa category for data engineers in Texas, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT frequently transition to H-1B through Texas-based employers. The L-1B intracompany transfer visa is also relevant for engineers moving within multinational companies with Texas offices.
Which cities in Texas have the most data engineer sponsorship jobs?
Austin leads the state for data engineer sponsorship volume, driven by a dense concentration of tech companies and high-growth startups. Dallas-Fort Worth is close behind, with strong demand from financial services, telecom, and enterprise technology firms. Houston adds significant volume from the energy and healthcare sectors, where data infrastructure roles are increasingly common. San Antonio has a smaller but growing presence, particularly around cybersecurity and defense-adjacent technology employers.
How to find data engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international candidates and filters data engineer roles in Texas by visa sponsorship availability, so you're not manually screening out employers who don't sponsor. The platform covers openings across Austin, Dallas, Houston, and beyond, with roles at both established enterprises and growth-stage companies. Searching by role and state on Migrate Mate saves significant time compared to general job searches where sponsorship status is rarely disclosed upfront.
Are there any Texas-specific factors that affect data engineer visa sponsorship?
Texas has no state income tax, which affects how employers structure compensation benchmarks for prevailing wage compliance under H-1B rules. The state's large research university system, including UT Austin, Texas A&M, and UT Dallas, produces a significant pipeline of international graduates who enter the local data engineering job market on F-1 OPT. Employers in energy-heavy cities like Houston may have different technical stack requirements compared to the SaaS-oriented roles more common in Austin.
What is the prevailing wage for sponsored data engineer jobs in Texas?
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 Texas right now.
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