AI Data Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for AI data engineer visa sponsorship, driven by major tech and energy hubs in Austin, Dallas, and Houston. Companies like Dell, AT&T, ExxonMobil, and a growing field of AI startups regularly hire international candidates for roles spanning data pipelines, machine learning infrastructure, and large-scale analytics systems.
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ROLE OVERVIEW
The Lead AI Enterprise Data Engineer will drive the transformation of eCommerce operational analytics and real-time monitoring by building scalable data pipelines, AI-powered insights, and intelligent dashboards. This role leads AI proof-of-concepts and contributes to production-grade solutions that improve platform reliability, accelerate root-cause identification, enhance engineering productivity, and strengthen operational intelligence across McAfee’s eCommerce ecosystem. This is a Hybrid position located in Frisco, TX. You will be required to be on-site on an as-needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance of Frisco, TX. We are not offering relocation assistance at this time.
ABOUT THE ROLE
- Design operational and business metrics using transactional data, telemetry, and customer behavior data. Build near real-time dashboards for eCommerce funnel metrics, subscription flows, payments, and operational KPIs.
- Develop scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture).
- Optimize Databricks-based data lake structures for analytics across eCommerce and MarTech domains.
- Build automated data quality validation frameworks.
- Build AI models for anomaly detection, churn forecasting, and funnel drop-off prediction.
- Create AI-powered copilots and tools to boost engineering productivity.
- Integrate LLMs (OpenAI, Claude, LangChain, OSS models).
- Build AI agents using AWS GenAI tooling.
- Track AI-driven KPIs and deploy enterprise/local LLM solutions.
- Integrate AI systems with eCommerce platform APIs, telemetry, and Databricks workflows.
- Build orchestration layers for automated decision-making.
- Architect scalable data + AI solutions using Databricks + AWS.
- Implement CI/CD for AI/ML workflows.
- Build cost optimization and AI usage governance tooling.
- Automate incident intelligence and reporting.
BASIC QUALIFICATIONS
- 10+ years enterprise application development experience.
- 3+ years hands-on AI/ML experience.
- Expert-level Databricks experience (PySpark, Delta Lake, Workflows).
- Experience with AWS for AI agent building and GenAI integrations.
- Strong SQL/NoSQL experience.
- Experience with BI tools (Power BI, Tableau, Looker, Grafana).
- eCommerce or Martech domain knowledge preferred.
COMPANY OVERVIEW
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protect their families and communities with the right security at the right moment.
COMPANY BENEFITS AND PERKS
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

ROLE OVERVIEW
The Lead AI Enterprise Data Engineer will drive the transformation of eCommerce operational analytics and real-time monitoring by building scalable data pipelines, AI-powered insights, and intelligent dashboards. This role leads AI proof-of-concepts and contributes to production-grade solutions that improve platform reliability, accelerate root-cause identification, enhance engineering productivity, and strengthen operational intelligence across McAfee’s eCommerce ecosystem. This is a Hybrid position located in Frisco, TX. You will be required to be on-site on an as-needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance of Frisco, TX. We are not offering relocation assistance at this time.
ABOUT THE ROLE
- Design operational and business metrics using transactional data, telemetry, and customer behavior data. Build near real-time dashboards for eCommerce funnel metrics, subscription flows, payments, and operational KPIs.
- Develop scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture).
- Optimize Databricks-based data lake structures for analytics across eCommerce and MarTech domains.
- Build automated data quality validation frameworks.
- Build AI models for anomaly detection, churn forecasting, and funnel drop-off prediction.
- Create AI-powered copilots and tools to boost engineering productivity.
- Integrate LLMs (OpenAI, Claude, LangChain, OSS models).
- Build AI agents using AWS GenAI tooling.
- Track AI-driven KPIs and deploy enterprise/local LLM solutions.
- Integrate AI systems with eCommerce platform APIs, telemetry, and Databricks workflows.
- Build orchestration layers for automated decision-making.
- Architect scalable data + AI solutions using Databricks + AWS.
- Implement CI/CD for AI/ML workflows.
- Build cost optimization and AI usage governance tooling.
- Automate incident intelligence and reporting.
BASIC QUALIFICATIONS
- 10+ years enterprise application development experience.
- 3+ years hands-on AI/ML experience.
- Expert-level Databricks experience (PySpark, Delta Lake, Workflows).
- Experience with AWS for AI agent building and GenAI integrations.
- Strong SQL/NoSQL experience.
- Experience with BI tools (Power BI, Tableau, Looker, Grafana).
- eCommerce or Martech domain knowledge preferred.
COMPANY OVERVIEW
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protect their families and communities with the right security at the right moment.
COMPANY BENEFITS AND PERKS
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
AI Data Engineer Job Roles in Texas
See all 466+ AI Data Engineer Jobs in Texas
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Search AI Data Engineer Jobs in TexasAI Data Engineer Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for AI data engineers?
Large employers with established sponsorship programs include Dell Technologies, AT&T, Texas Instruments, ExxonMobil, and Amazon Web Services operations based in Texas. Austin's AI startup ecosystem, including companies in the semiconductor and cloud infrastructure space, also sponsors regularly. Enterprise software firms around the Dallas-Fort Worth metro have a strong track record of filing H-1B petitions for data engineering roles.
Which visa types are most common for AI data engineer roles in Texas?
The H-1B is the most common visa category for AI data engineers in Texas, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates already authorized under OPT or STEM OPT are often hired first, with employers then sponsoring the H-1B. The O-1A is an option for candidates with a demonstrable record of distinction in the field.
Which cities in Texas have the most AI data engineer visa sponsorship jobs?
Austin leads for AI and data engineering sponsorship, anchored by a dense concentration of tech companies and startups. Dallas-Fort Worth is second, driven by telecom, fintech, and enterprise software employers. Houston adds significant volume through energy companies investing in AI-driven data infrastructure. San Antonio has a smaller but growing presence, partly due to cybersecurity and government technology contractors.
How to find ai data engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters AI data engineer roles in Texas by visa sponsorship availability, saving significant time compared to general job searches. You can browse active listings, filter by city or employer type, and identify companies with a documented history of sponsoring work visas for data engineering positions across Austin, Dallas, Houston, and beyond.
Are there state-specific factors that affect AI data engineer sponsorship in Texas?
Texas has no state income tax, which affects prevailing wage calculations under Department of Labor requirements. Employers must still meet federal prevailing wage levels for the specific metro area, and wage levels differ meaningfully between Austin, Dallas, and Houston. Texas also has strong university pipelines from UT Austin, Texas A&M, and Rice University, which feed talent directly into local employers with existing H-1B sponsorship infrastructure.
What is the prevailing wage for sponsored ai 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.
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