Data Engineering Manager Jobs in USA with Visa Sponsorship
Data Engineering Manager roles are among the most consistently sponsored positions in tech. Employers regularly file H-1B visa and O-1 visa petitions for this title, and the specialty occupation standard is well-established for candidates with a degree in computer science, information systems, or a related field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
DESCRIPTION
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.
Responsibilities
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Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
-
Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
-
Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
-
Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
-
Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
MINIMUM QUALIFICATIONS
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Bachelor’s degree in Computer Science, Information Systems, or equivalent
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8-12 years of experience in data engineering or software engineering
-
5+ years of engineering management experience
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Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
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Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
PREFERRED QUALIFICATIONS
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Experience driving the implementation of data governance and quality standards
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Strong stakeholder management skills in Finance or enterprise functions
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
DESCRIPTION
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.
Responsibilities
-
Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
-
Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
-
Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
-
Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
-
Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
MINIMUM QUALIFICATIONS
-
Bachelor’s degree in Computer Science, Information Systems, or equivalent
-
8-12 years of experience in data engineering or software engineering
-
5+ years of engineering management experience
-
Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
-
Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
PREFERRED QUALIFICATIONS
-
Experience driving the implementation of data governance and quality standards
-
Strong stakeholder management skills in Finance or enterprise functions
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Engineering Manager
Lead with your technical depth, not just your management experience
Visa petitions for this role must satisfy the specialty occupation standard. Emphasizing your hands-on expertise in data infrastructure, pipeline architecture, or distributed systems strengthens the degree-field connection that USCIS evaluates during adjudication.
Target employers with a documented H-1B filing history
Companies that have sponsored Data Engineering Manager roles before understand the LCA process, prevailing wage obligations, and petition timelines. Those with no prior H-1B filings often underestimate the complexity, which can delay or derail your offer.
Clarify your authorization status early in the process
Hiring managers at this seniority level often assume candidates are already authorized. Raising sponsorship in the first or second conversation, before the offer stage, avoids late-stage friction and ensures the right stakeholders are looped in from the start.
Align your resume to a specific technical domain
Petitions are stronger when the job duties map clearly to a defined specialty. Whether your background is in cloud data platforms, real-time analytics, or ML infrastructure, framing your experience around one domain makes the specialty occupation argument more defensible.
Prepare documentation that connects your degree to the role
USCIS may issue an RFE if the degree field is not an obvious match. A credential evaluation from a NACES-approved evaluator and a support letter from your employer explaining how your specific field underpins the role can preempt this entirely.
Use Migrate Mate to focus your search on verified sponsoring employers
Filtering for companies that actively sponsor removes the guesswork from your job search at this level. Migrate Mate surfaces Data Engineering Manager roles from employers with confirmed sponsorship history, so your outreach goes to the right places from the start.
Frequently Asked Questions
Does a Data Engineering Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in the vast majority of cases. USCIS consistently recognizes data engineering roles as specialty occupations when the position requires a bachelor's degree or higher in computer science, information systems, engineering, or a closely related field. Petitions are stronger when the job description emphasizes technical depth, such as system design or architecture responsibilities, rather than purely administrative management duties.
Does my degree field need to match data engineering specifically?
Not exactly, but the connection must be defensible. Degrees in computer science, software engineering, information systems, applied mathematics, or statistics are routinely accepted. A business or management degree alone is unlikely to satisfy the specialty occupation standard for this role. If your degree is in a tangential field, a credential evaluation and an employer support letter explaining the technical requirements of the position can help close the gap.
How does the H-1B lottery affect my chances as a Data Engineering Manager?
If you require a standard cap-subject H-1B visa, your petition enters the annual lottery alongside all other registrations. In recent fiscal years, selection rates have been around 25%. However, if you're transferring from another H-1B employer, changing to cap-exempt status through a qualifying institution, or exploring O-1A eligibility based on your record of achievement, you can bypass the lottery entirely.
Can I apply for an O-1A visa as a Data Engineering Manager?
Possibly, depending on your track record. The O-1A requires evidence of extraordinary ability across criteria such as awards, published work, high salary relative to peers, critical roles at distinguished organizations, or original contributions to the field. Senior data engineering leaders with patents, conference speaking history, open-source project contributions, or recognition from professional organizations may have a realistic path to O-1A outside the H-1B lottery.
Where can I find Data Engineering Manager jobs that offer visa sponsorship?
Migrate Mate is built specifically for this. It lists Data Engineering Manager roles from employers with verified H-1B sponsorship history, so you're not guessing which companies will actually support a petition. Searching on general job boards makes it difficult to filter out roles where sponsorship is a dealbreaker, which wastes significant time at a seniority level where hiring processes are already lengthy.
What is the prevailing wage requirement for sponsored Data Engineering Manager 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.