AI Data Engineer Jobs in USA with Visa Sponsorship
AI Data Engineers are in high demand from H-1B visa and O-1 visa sponsors across tech, finance, and healthcare. The role qualifies as a specialty occupation, and employers regularly file LCAs under computer science and data engineering job codes. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsLocation: Onsite 3 days a wk; Hybrid – Office location is Chandler AZ
Required Pay Scale: $60-65hr W2
MUST BE ABLE TO ATTEND ONSITE INTERVIEW
Due to client requirements this role is only open to USC or GC candidates
Qualifications
- Strong expertise in data integration, transformation, and pipeline development
- Deep experience in data quality frameworks, validation, and monitoring
- Advanced knowledge of data modeling and metadata management
- Experience implementing data governance, lineage, and control frameworks
- Strong understanding of enterprise-scale data processing and optimization
- Solid foundation in supporting AI/ML data requirements and analytics use cases
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, mathematics, Statistics, or related field.
Required Skills
- 5+ years of experience in data engineering with strong focus on data quality and enterprise data platforms.
- Experience enabling AI-ready and analytics-driven data ecosystems
- Proven ability to implement advanced data quality and governance practices
- Strong understanding of integrated data modeling, metadata, and lifecycle management
- Experience designing hybrid data architectures (on-prem and cloud)
- Advanced proficiency in SQL and Python.
- Background in regulated environments with audit and compliance requirements
- Combines expertise in data integration, quality, modeling, and governance to deliver scalable, controlled, and fully traceable data platforms that enable AI-ready and reliable analytics outcomes.
Desired Skills
- Experience operationalizing data stewardship and control processes
- Familiarity with automated data pipeline testing, deployment, and monitoring practices
- Master's degree in a technical or data-related field is a plus
About Matlen Silver
Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.
Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at info@matlensilver.com // 908-393-8600
Location: Onsite 3 days a wk; Hybrid – Office location is Chandler AZ
Required Pay Scale: $60-65hr W2
MUST BE ABLE TO ATTEND ONSITE INTERVIEW
Due to client requirements this role is only open to USC or GC candidates
Qualifications
- Strong expertise in data integration, transformation, and pipeline development
- Deep experience in data quality frameworks, validation, and monitoring
- Advanced knowledge of data modeling and metadata management
- Experience implementing data governance, lineage, and control frameworks
- Strong understanding of enterprise-scale data processing and optimization
- Solid foundation in supporting AI/ML data requirements and analytics use cases
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, mathematics, Statistics, or related field.
Required Skills
- 5+ years of experience in data engineering with strong focus on data quality and enterprise data platforms.
- Experience enabling AI-ready and analytics-driven data ecosystems
- Proven ability to implement advanced data quality and governance practices
- Strong understanding of integrated data modeling, metadata, and lifecycle management
- Experience designing hybrid data architectures (on-prem and cloud)
- Advanced proficiency in SQL and Python.
- Background in regulated environments with audit and compliance requirements
- Combines expertise in data integration, quality, modeling, and governance to deliver scalable, controlled, and fully traceable data platforms that enable AI-ready and reliable analytics outcomes.
Desired Skills
- Experience operationalizing data stewardship and control processes
- Familiarity with automated data pipeline testing, deployment, and monitoring practices
- Master's degree in a technical or data-related field is a plus
About Matlen Silver
Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.
Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at info@matlensilver.com // 908-393-8600
See all 5,240+ AI Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Data Engineer
Target companies with active LCA filings
Employers who have filed Labor Condition Applications for data engineering or machine learning roles in the past 12 months are already set up to sponsor. These companies have legal counsel, established workflows, and budgets allocated for visa costs.
Emphasize your ML pipeline and infrastructure work
USCIS approves AI Data Engineer petitions more cleanly when job duties are tied to a specific technical field. Highlight work on model training pipelines, feature stores, or distributed data systems, not general data tasks.
A computer science or data engineering degree strengthens your case
H-1B specialty occupation requires a degree in a directly related field. CS, software engineering, statistics, and applied mathematics are strong fits. A general business or unrelated degree may require additional documentation or a credentials evaluation.
Cap-exempt employers offer a faster path in
Universities, nonprofit research institutions, and government-affiliated organizations are exempt from the H-1B lottery. AI and data roles at these employers can be filed any time of year, with USCIS adjudicating without a cap slot.
O-1A is a realistic alternative if your profile is strong
AI Data Engineers with published research, open-source contributions with wide adoption, or recognition from the field may qualify for the O-1A extraordinary ability visa. It has no lottery and no annual cap, making it faster to obtain.
Use Migrate Mate to find roles already set up to sponsor
Not every job posting discloses visa sponsorship upfront. Migrate Mate filters for employers actively sponsoring AI and data engineering roles, so you apply to companies already prepared to file, not ones figuring it out for the first time.
Frequently Asked Questions
Does the AI Data Engineer role qualify for H-1B sponsorship?
Yes. AI Data Engineer is a specialty occupation under USCIS guidelines because it requires a bachelor's degree or higher in a specific technical field such as computer science, data engineering, or statistics. Employers regularly file H-1B visa petitions for this title, and USCIS approves them at high rates when the job duties and degree field align clearly.
What degree do I need for an employer to sponsor my H-1B as an AI Data Engineer?
A bachelor's degree in computer science, data science, statistics, applied mathematics, or a closely related field is the standard. A general business or humanities degree typically won't support the petition without supplemental evidence. If your degree is in a tangentially related field, employers may need to file additional documentation demonstrating the connection between your coursework and the role.
Can I get sponsored as an AI Data Engineer if I didn't win the H-1B lottery?
There are a few paths. Cap-exempt employers, including universities and qualifying nonprofits, can file H-1B petitions year-round without lottery exposure. Alternatively, the O-1A visa has no cap and no lottery, and is achievable for AI Data Engineers with strong publication records, recognized open-source projects, or other evidence of extraordinary ability in the field.
How common is visa sponsorship for AI Data Engineer roles specifically?
AI and machine learning data roles are among the most actively sponsored positions in the U.S. tech sector. DOL LCA disclosure data consistently shows high filing volumes for data engineering and ML infrastructure titles at large technology companies and well-funded startups. Browse Migrate Mate to see which employers are currently hiring AI Data Engineers with sponsorship.
Does hands-on AI experience matter more than a formal degree for sponsorship purposes?
For H-1B purposes, the formal degree requirement is a legal threshold, not just a preference. However, USCIS also allows three years of specialized experience to substitute for one year of a four-year degree, so candidates with significant hands-on AI pipeline work and some formal education can still qualify. Document your experience clearly in any petition supporting the specialty occupation argument.
What is the prevailing wage requirement for sponsored AI Data Engineer jobs?
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.