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 JobsWe’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
- Partner with Product Owners, product leaders, and cross-functional stakeholders from ideation through execution to shape analytics product vision, validate opportunities, and define scalable solution approaches.
- Develop functional requirements, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams.
- Support engineering and data science teams to implement features by clarifying requirements, facilitating squad ceremonies, and helping technical team members ground on users and business needs.
- Manage product backlog, facilitate problem solving, scoping, and prioritization.
- Run day-to-day planning and ceremonies, and champion Agile practices.
- Clarify and coordinate dependencies with other teams and stakeholders.
- Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
- Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
- Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
- Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.
Required Qualifications
- 7+ years’ experience in Product Management or Technical Product Management role
- 5+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground
- 3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems, operational processes
- 3+ years’ experience with stakeholder management
- 3+ years’ demonstrated ability to drive outcomes in complex environment
- 2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics
Preferred Qualifications
- Strong verbal and written communication skills
- Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working
- Excellence in prioritization and aligning senior stakeholders on a unified vision
- Strong Excel/SQL/analytics/Storytelling capability
- Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, Economics or a related quantitative field
- Master’s degree or MBA preferred
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/03/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
- Partner with Product Owners, product leaders, and cross-functional stakeholders from ideation through execution to shape analytics product vision, validate opportunities, and define scalable solution approaches.
- Develop functional requirements, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams.
- Support engineering and data science teams to implement features by clarifying requirements, facilitating squad ceremonies, and helping technical team members ground on users and business needs.
- Manage product backlog, facilitate problem solving, scoping, and prioritization.
- Run day-to-day planning and ceremonies, and champion Agile practices.
- Clarify and coordinate dependencies with other teams and stakeholders.
- Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
- Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
- Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
- Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.
Required Qualifications
- 7+ years’ experience in Product Management or Technical Product Management role
- 5+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground
- 3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems, operational processes
- 3+ years’ experience with stakeholder management
- 3+ years’ demonstrated ability to drive outcomes in complex environment
- 2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics
Preferred Qualifications
- Strong verbal and written communication skills
- Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working
- Excellence in prioritization and aligning senior stakeholders on a unified vision
- Strong Excel/SQL/analytics/Storytelling capability
- Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, Economics or a related quantitative field
- Master’s degree or MBA preferred
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/03/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
See all 884+ Data Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Manager roles.
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.