H-1B Visa AI Data Engineer Jobs
AI Data Engineer roles qualify as H-1B visa specialty occupations under the computer and information systems job category, requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers across tech, finance, and healthcare file H-1B petitions for these roles every cap season, making it one of the more consistently sponsored titles in the data space.
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Get Access To All JobsJob Title: Senior AI Data Engineer
Location: Houston, TX
Duration: Full-time
Overview:
We are seeking a hands-on Enterprise Data Architect to lead a data modernization effort in a growing SMB environment.
The focus is on consolidating data from ERP, CRM, PSA, HR, payroll, project management, and financial systems into a centralized reporting and operational data platform.
This role will design and build modern data architecture and pipelines, enabling consistent reporting, analytics, and future automation/AI capabilities.
Strong experience with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks is preferred.
Responsibilities:
- Consolidate data across ERP, CRM, PSA, HR, payroll, and financial systems
- Design and implement modern data architecture and pipelines
- Build centralized reporting and analytics data models
- Support data governance, quality, and MDM
- Enable operational dashboards and multi-entity reporting
- Partner with stakeholders to translate business needs into data solutions
- Support future automation and AI readiness
Requirements
- 7+ years in data architecture or data engineering
- Experience with modern cloud data platforms (Fabric, Snowflake, or Databricks)
- Strong background in data integration, modeling, and ETL/ELT
- Experience working with disconnected enterprise systems
- Comfortable in fast-paced, hands-on environments
Pay: From $115,000.00 per year
Experience:
- Modern data platforms (Fabric, Snowflake, or Databricks): 2 years (Required)
- Support data governance, quality, and MDM: 2 years (Required)
- Design and build modern data architecture and pipelines: 3 years (Required)
Work Location: In person
Job Title: Senior AI Data Engineer
Location: Houston, TX
Duration: Full-time
Overview:
We are seeking a hands-on Enterprise Data Architect to lead a data modernization effort in a growing SMB environment.
The focus is on consolidating data from ERP, CRM, PSA, HR, payroll, project management, and financial systems into a centralized reporting and operational data platform.
This role will design and build modern data architecture and pipelines, enabling consistent reporting, analytics, and future automation/AI capabilities.
Strong experience with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks is preferred.
Responsibilities:
- Consolidate data across ERP, CRM, PSA, HR, payroll, and financial systems
- Design and implement modern data architecture and pipelines
- Build centralized reporting and analytics data models
- Support data governance, quality, and MDM
- Enable operational dashboards and multi-entity reporting
- Partner with stakeholders to translate business needs into data solutions
- Support future automation and AI readiness
Requirements
- 7+ years in data architecture or data engineering
- Experience with modern cloud data platforms (Fabric, Snowflake, or Databricks)
- Strong background in data integration, modeling, and ETL/ELT
- Experience working with disconnected enterprise systems
- Comfortable in fast-paced, hands-on environments
Pay: From $115,000.00 per year
Experience:
- Modern data platforms (Fabric, Snowflake, or Databricks): 2 years (Required)
- Support data governance, quality, and MDM: 2 years (Required)
- Design and build modern data architecture and pipelines: 3 years (Required)
Work Location: In person
See all 4,956+ H-1B Visa AI Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Data Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Data Engineer
Align your degree to the role
USCIS scrutinizes whether your specific degree field matches the job duties. A computer science or information systems degree maps cleanly to AI Data Engineer; a general business or unrelated STEM degree may trigger an RFE even when your skills are strong.
Use OFLC Wage Search before negotiating
Your employer must pay the DOL prevailing wage for your exact SOC code and work location. Pull the OFLC Wage Search figures for your metro area before you negotiate so your offer clears Level I or Level II minimums and avoids an LCA rejection.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities can file H-1B petitions year-round without entering the lottery. If you're open to applied research or academic data roles, these organizations let you start without waiting for April registration.
Search verified sponsors on Migrate Mate
Filter your AI Data Engineer job search on Migrate Mate to see employers with confirmed H-1B LCA filing history for data engineering roles, so you're applying to companies that have already demonstrated willingness and capacity to sponsor.
Clarify cloud infrastructure duties in your offer letter
AI Data Engineer job descriptions that mix data pipeline work with general IT support can weaken the specialty occupation argument. Ask your employer to draft your offer letter with specific references to ML pipeline architecture, distributed systems, or model deployment rather than broad IT maintenance language.
File for premium processing if your start date is tight
USCIS premium processing guarantees a decision within 15 business days. If your current OPT or grace period is expiring close to October 1, confirm with your employer whether they'll cover the fee to avoid a gap in authorized work status.
H-1B Visa AI Data Engineer: Frequently Asked Questions
Does an AI Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job duties require at least a bachelor's degree in a directly related field such as computer science, data engineering, or a related quantitative discipline. USCIS evaluates the specific duties listed in the job description and the LCA, not just the job title. Roles that mix AI pipeline work with general IT support can face scrutiny, so the job description should clearly tie duties to a specialized body of theoretical and practical knowledge.
Which employers most commonly sponsor H-1B visas for AI Data Engineers?
Technology companies, financial services firms, healthcare analytics organizations, and large retail or logistics companies with in-house data platforms are consistent H-1B sponsors for AI Data Engineer roles. You can identify employers with confirmed LCA filing history for these roles on Migrate Mate, which filters for employers that have already filed for comparable positions rather than those that simply post open roles.
What SOC code is typically used for AI Data Engineer H-1B petitions?
Most employers file AI Data Engineer petitions under SOC 15-1242 (Database Architects) or 15-2051 (Data Scientists), depending on whether the role emphasizes infrastructure and pipeline design or modeling and analysis. The SOC code your employer selects affects the DOL prevailing wage level on the LCA, so it's worth reviewing the O*NET occupation profile for both codes to confirm which aligns with your actual job duties before the LCA is filed.
Can I change employers mid-year as an H-1B AI Data Engineer?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as the new I-129 petition is filed, as long as your previous H-1B was approved and you've been in valid H-1B status. Your new employer files a fresh I-129 with a new LCA certified for the new position and worksite. There's no need to wait for approval before starting, but both the LCA certification and petition filing must occur before your last day at the previous employer.
What happens if my H-1B lottery registration isn't selected as an AI Data Engineer?
If you're not selected in the annual H-1B lottery, you have several paths depending on your current status. Employers that qualify as cap-exempt, including universities and affiliated nonprofit research entities, can file outside the lottery. You may also explore O-1A classification if your work in AI or data engineering includes published research, patents, or recognized contributions. Some professionals extend OPT or change to another nonimmigrant status while waiting for the next registration window in March.