AI Data Engineer Jobs in USA with Visa Sponsorship
AI Data Engineers are in high demand from H-1B visa and O-1 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 JobsRole: Senior Data Analytics Engineer with AI Initiatives (Must)
Location: New York/ Remote
Experience: 5 - 10 years
Duration: Full time
Job Description:
We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization. This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources
- Develop and optimize batch and near real-time data processing pipelines for analytics and reporting
- Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases
- Implement and maintain data models that support efficient querying and reporting
- Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies
- Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines
- Exposure to AI initiatives and experience building data pipelines supporting AI workflows
- Work with data architects and engineering teams to implement scalable data platform designs
- Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
- Maintain documentation for data pipelines, data models, and data workflows
Requirements
- 5 - 10 years of experience in Data Engineering and GenAI and Data Scientist and AI Engineer
- Strong experience with SQL and Python for data processing and transformation
- Experience building and maintaining ETL/ELT pipelines
- Solid understanding of data warehousing concepts and dimensional data modeling
- Experience working with cloud data platforms or modern data infrastructure
- Familiarity with workflow orchestration tools such as Airflow or similar
- Understanding of API-based data ingestion and data integration patterns
- Strong problem-solving and collaboration skills
Education
Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field, or equivalent practical experience.
Role: Senior Data Analytics Engineer with AI Initiatives (Must)
Location: New York/ Remote
Experience: 5 - 10 years
Duration: Full time
Job Description:
We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization. This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources
- Develop and optimize batch and near real-time data processing pipelines for analytics and reporting
- Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases
- Implement and maintain data models that support efficient querying and reporting
- Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies
- Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines
- Exposure to AI initiatives and experience building data pipelines supporting AI workflows
- Work with data architects and engineering teams to implement scalable data platform designs
- Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
- Maintain documentation for data pipelines, data models, and data workflows
Requirements
- 5 - 10 years of experience in Data Engineering and GenAI and Data Scientist and AI Engineer
- Strong experience with SQL and Python for data processing and transformation
- Experience building and maintaining ETL/ELT pipelines
- Solid understanding of data warehousing concepts and dimensional data modeling
- Experience working with cloud data platforms or modern data infrastructure
- Familiarity with workflow orchestration tools such as Airflow or similar
- Understanding of API-based data ingestion and data integration patterns
- Strong problem-solving and collaboration skills
Education
Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field, or equivalent practical experience.
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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.
AI Data Engineer jobs are hiring across the US. Find yours.
Find AI Data Engineer JobsFrequently 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 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.
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