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 JobsLocation: Lone Tree, CO
Requisition ID 2026-123144
Category Data Analytics and Strategy
Position type Regular
Pay range USD $43.27 - $55.29 / Hour
Application deadline 2026-07-04
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
The Treasury Analytics & Reporting team plays a critical role in advancing how Corporate Treasury operates—delivering scalable analytics, modern reporting, and automation that drives better decision-making across the balance sheet. As a Senior Specialist, you will act as a builder and problem-solver, translating complex business needs into practical, high-impact solutions. You’ll partner closely with Treasury stakeholders to understand challenges, shape ideas into tangible products, and bring them into production—enabling faster insights, greater efficiency, and improved operational performance.
In this role, you will design and develop data-driven applications and reporting solutions that replace manual processes with automated, scalable capabilities. Leveraging Python, modern BI tools, and emerging AI capabilities, you will create intuitive dashboards, interactive tools, and advanced analytics that empower leaders with clearer, more actionable insights. You will integrate data across systems, strong data modeling practices, and ensure solutions are reliable, performant, and adaptable over time.
Success in this role requires curiosity, ownership, and comfort operating in ambiguity—taking broad, undefined problems and structuring them into clear, executable solutions. You’ll present your work to senior leadership, articulate trade-offs, and influence decisions through evidence-backed insights. This is an opportunity to shape how innovation, automation, and AI enhance Treasury operations while continuously identifying new areas to drive impact.
What you have
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, Economics, or related field
- 2+ years of experience building data, analytics, or software solutions in a business environment
- Advanced proficiency in Python for data analysis and application development
- Hands-on experience building and deploying applications using Streamlit or a comparable framework
- Experience using AI/ML techniques, including large language models (LLMs), prompt design, or retrieval-based solutions
- Strong SQL skills and foundational expertise in data modeling
- Experience developing dashboards and reporting using modern BI tools (e.g., Power BI, Tableau, Looker)
- Experience integrating systems through APIs
- Demonstrated success partnering with business stakeholders to deliver actionable solutions
- Strong communication skills with the ability to present insights and recommendations to senior leaders
- Proven ability to drive outcomes independently in ambiguous environments
Preferred Qualifications
- 3+ years of experience building scalable analytics or software solutions
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with version control, testing, and CI/CD practices
- Experience deploying machine learning or AI solutions into production environments
- Background in financial services, corporate finance, or treasury functions
- Demonstrated contributions to open-source projects or a technical portfolio
- Strong written documentation skills to enable scalability and knowledge sharing
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Location: Lone Tree, CO
Requisition ID 2026-123144
Category Data Analytics and Strategy
Position type Regular
Pay range USD $43.27 - $55.29 / Hour
Application deadline 2026-07-04
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
The Treasury Analytics & Reporting team plays a critical role in advancing how Corporate Treasury operates—delivering scalable analytics, modern reporting, and automation that drives better decision-making across the balance sheet. As a Senior Specialist, you will act as a builder and problem-solver, translating complex business needs into practical, high-impact solutions. You’ll partner closely with Treasury stakeholders to understand challenges, shape ideas into tangible products, and bring them into production—enabling faster insights, greater efficiency, and improved operational performance.
In this role, you will design and develop data-driven applications and reporting solutions that replace manual processes with automated, scalable capabilities. Leveraging Python, modern BI tools, and emerging AI capabilities, you will create intuitive dashboards, interactive tools, and advanced analytics that empower leaders with clearer, more actionable insights. You will integrate data across systems, strong data modeling practices, and ensure solutions are reliable, performant, and adaptable over time.
Success in this role requires curiosity, ownership, and comfort operating in ambiguity—taking broad, undefined problems and structuring them into clear, executable solutions. You’ll present your work to senior leadership, articulate trade-offs, and influence decisions through evidence-backed insights. This is an opportunity to shape how innovation, automation, and AI enhance Treasury operations while continuously identifying new areas to drive impact.
What you have
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, Economics, or related field
- 2+ years of experience building data, analytics, or software solutions in a business environment
- Advanced proficiency in Python for data analysis and application development
- Hands-on experience building and deploying applications using Streamlit or a comparable framework
- Experience using AI/ML techniques, including large language models (LLMs), prompt design, or retrieval-based solutions
- Strong SQL skills and foundational expertise in data modeling
- Experience developing dashboards and reporting using modern BI tools (e.g., Power BI, Tableau, Looker)
- Experience integrating systems through APIs
- Demonstrated success partnering with business stakeholders to deliver actionable solutions
- Strong communication skills with the ability to present insights and recommendations to senior leaders
- Proven ability to drive outcomes independently in ambiguous environments
Preferred Qualifications
- 3+ years of experience building scalable analytics or software solutions
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with version control, testing, and CI/CD practices
- Experience deploying machine learning or AI solutions into production environments
- Background in financial services, corporate finance, or treasury functions
- Demonstrated contributions to open-source projects or a technical portfolio
- Strong written documentation skills to enable scalability and knowledge sharing
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
See all 4,819+ 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.