TN Visa Data Engineering Manager Jobs
Data Engineering Manager roles qualify for TN visa sponsorship under the USMCA's Systems Analyst category when the position centers on designing and overseeing large-scale data pipeline architecture. Canadian citizens present supporting documentation at the port of entry; Mexican citizens apply through a U.S. consulate. Your employer will prepare a support letter outlining the role's requirements and your qualifications.
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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 TN Visa Sponsorship as a Data Engineering Manager
Frame your credentials around systems analysis
TN classification for this role depends on the Systems Analyst category. Your resume and degree documentation should emphasize pipeline architecture, data system design, and infrastructure oversight rather than general management duties, which don't map cleanly to any TN category.
Target employers with recent visa filing experience
Search for employers with recent visa filings to identify companies experienced with work visa sponsorship. Employers already familiar with visa sponsorship processes move faster and are less likely to stall an offer over unfamiliarity with supporting international talent. For TN sponsorship, Canadian applicants can present an offer letter and support documents directly at a U.S. port of entry, while Mexican applicants apply through a U.S. consulate—both processes are streamlined compared to other visa categories, and employers experienced with sponsorship understand these straightforward requirements.
Clarify your citizenship at the screening stage
Canadian and Mexican citizens follow different TN procedures. Canadians can self-petition at a port of entry; Mexican citizens need a consular appointment. Stating your citizenship early helps employers assign the right HR or legal contact before an offer letter is drafted.
Verify your degree field maps to the role
CBP officers assess whether your degree aligns with the Systems Analyst category. A computer science or information systems degree is straightforward. An unrelated degree paired with extensive experience requires a credential evaluation letter and a clearly scoped job description to avoid a TN denial at the border.
Use Migrate Mate to find sponsoring employers fast
Searching broadly wastes time on employers who won't sponsor TN visas. Migrate Mate filters Data Engineering Manager openings by TN sponsorship availability, so you're applying to roles where employers have already indicated willingness to support the process.
Review the support letter before your entry appointment
The employer's TN support letter must specify the Systems Analyst category, your specific duties, the duration of employment, and your educational qualifications. A vague or misclassified letter is the most common reason CBP denies TN admission for technical management roles.
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Find Data Engineering Manager JobsData Engineering Manager TN Visa: Frequently Asked Questions
Does a Data Engineering Manager role actually qualify for a TN visa?
It depends on how the role is scoped. TN visas don't have a dedicated Data Engineering Manager category, but these roles typically qualify under the Systems Analyst designation when the job centers on designing, architecting, and overseeing data systems. If the role is primarily people management with limited technical responsibility, qualification becomes harder to establish. The job description and offer letter need to reflect substantive systems work.
How does the TN visa compare to H-1B for Data Engineering Manager positions?
TN is substantially faster and more predictable for Canadians and Mexicans. There's no lottery, no annual cap for Canadians, and Canadian citizens can often enter at a port of entry the same day the employer is ready. H-1B requires lottery selection, a six-month wait after October 1 approval, and employer petitioning through USCIS. For a qualified candidate with a valid offer, TN gets you working months sooner.
What does the employer actually need to do to sponsor a TN visa for this role?
For most Data Engineering Manager TN cases, the employer writes a detailed support letter outlining the Systems Analyst classification, the scope of duties, your qualifications, and the employment terms. For Canadian citizens, you present this support letter directly at the U.S. border or port of entry—no advance government filing is required. For Mexican citizens, the employer's support letter forms the basis of your application at a U.S. consulate. The employer handles only the support letter; there is no separate government petition or filing process for TN visa sponsorship.
Where can I find Data Engineering Manager jobs that offer TN visa sponsorship?
Most general job boards don't filter by visa type, which means sifting through hundreds of listings to find employers open to TN sponsorship. Migrate Mate is built specifically for TN visa job seekers, letting you search Data Engineering Manager roles by sponsorship availability so you're not wasting applications on employers who won't support the process.
Can I switch employers after entering the U.S. on a TN visa for this role?
Yes, but your TN status is tied to your current employer. Before starting with a new company, your new employer must issue a qualifying support letter and you'll need a new TN admission, either at a port of entry for Canadians or through a consular appointment for Mexican citizens. You can't simply transfer TN status the way some other visa categories allow.
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