H-1B1 Singapore Visa Data Engineering Manager Jobs
Data Engineering Manager jobs with H-1B1 Singapore visa sponsorship are open to Singaporean nationals without a lottery draw. The annual cap of 5,400 sits well below demand, and your application goes directly to the U.S. consulate in Singapore, where approvals typically clear in days rather than months.
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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
- 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 $228,100 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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 $228,100 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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
Frame your credentials for U.S. specialty occupation standards
Your Singapore degree and data engineering certifications must map to a role requiring at least a bachelor's in a directly related field. Pull the O*NET profile for Computer and Information Systems Managers to confirm the field-of-study alignment before your employer files.
Target employers with active H-1B1 LCA filing history
Search Migrate Mate to filter Data Engineering Manager roles by verified H-1B1 visa sponsorship history. Employers who've filed Labor Condition Applications for this occupation already understand the process and won't hesitate at the consulate step.
Negotiate who absorbs the LCA prevailing-wage requirement
Your offer must meet DOL prevailing wage for your location and job zone. Use the OFLC Wage Search to look up the Level III or IV wage for your target metro before entering salary negotiations, so you know the floor your employer must clear.
Clarify your employer's E-Verify enrollment before accepting an offer
H-1B1 employers aren't automatically required to use E-Verify unless they're federal contractors or operate in a mandatory state. Confirming enrollment early prevents I-9 complications when you start, especially if you're transitioning from an existing U.S. visa status.
Time your consulate appointment around your current status expiry
H-1B1 is processed at the U.S. Embassy in Singapore, not through USCIS. If you're already in the U.S. on another visa, plan your travel window carefully, as you'll need to attend the interview in person and your current status must remain valid through departure.
Prepare for annual renewal cycles specific to H-1B1
Unlike H-1B visa, H-1B1 is approved in one-year increments with no multi-year extension option. Your employer's HR team needs to initiate the LCA renewal process at least 90 days before your status expires to avoid a gap in your work authorization.
Frequently Asked Questions
Does a Data Engineering Manager role qualify as a specialty occupation for H-1B1 purposes?
Yes, Data Engineering Manager roles typically qualify. USCIS requires the position to demand a bachelor's degree or higher in a directly related field such as computer science, data engineering, or information systems. Because the role combines technical data architecture decisions with team leadership, the specialized degree requirement is straightforward to document, making it a cleaner petition than generalist management titles.
How does the H-1B1 Singapore visa compare to H-1B for Data Engineering Manager jobs?
The H-1B1 skips the lottery entirely, so a Singaporean national with a qualifying job offer can apply directly at the consulate rather than waiting for a random selection result. The trade-off is that H-1B1 is approved in one-year increments rather than three, so your employer's HR team needs to plan annual renewals. For a Data Engineering Manager role, the specialty occupation threshold is the same under both visas.
How do I find Data Engineering Manager jobs where the employer already understands H-1B1 Singapore sponsorship?
Use Migrate Mate to search for Data Engineering Manager roles filtered by verified H-1B1 sponsorship history. Employers who've previously filed Labor Condition Applications for this visa type already have HR and legal processes in place, which shortens the offer-to-approval timeline significantly and reduces the chance of the employer backing out during the consulate filing stage.
What prevailing wage level applies to Data Engineering Manager positions under H-1B1?
Data Engineering Manager roles typically fall at DOL wage Level III or Level IV, depending on supervisory scope and years of experience. Use the OFLC Wage Search and input the relevant occupation code for your target city before negotiating your offer. Your employer's LCA must certify a salary at or above the prevailing wage for your specific location, and the consulate will verify this during adjudication.
Can I change employers while on H-1B1 status if I'm already working as a Data Engineering Manager in the U.S.?
H-1B1 doesn't have the portability provisions that H-1B carries under AC21, so you can't start work with a new employer the moment they file. Your new employer must have a certified LCA and you'll generally need to attend a consulate interview in Singapore before beginning the new role. Planning your transition timeline around this requirement is essential to avoid an unauthorized work gap.
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