Data Engineering Manager Jobs at Apple with Visa Sponsorship
Data Engineering Manager roles at Apple sit at the intersection of large-scale infrastructure and product impact, overseeing pipelines that power everything from the App Store to Apple Intelligence. Apple has a well-established sponsorship process across multiple visa categories, making it a realistic target for international candidates pursuing this function.
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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 Data Engineering Manager Jobs at Apple Jobs
Align your portfolio to Apple's data stack
Apple's data engineering teams work heavily with distributed systems, real-time pipeline orchestration, and proprietary internal tooling. Before applying, document specific experience with systems at that scale so your resume speaks directly to what their hiring panels assess.
Use Migrate Mate to find sponsored openings
Apple posts Data Engineering Manager roles across multiple channels, but many don't surface in standard job searches. Use Migrate Mate to browse verified sponsorship-eligible listings filtered specifically for your visa type and target role.
Prepare your degree equivalency documentation early
Apple's specialty occupation petitions with USCIS require a direct tie between your degree field and the engineering management role. If your degree is from outside the U.S., get a credential evaluation completed before your recruiter moves to offer stage.
Understand Apple's internal transfer and cap-exempt pathways
If you're already at a cap-exempt institution or a company with an established cap-exempt relationship, an internal transfer or strategic move could let you bypass the H-1B lottery entirely. Confirm your current employer's status with USCIS guidelines before assuming you're cap-subject.
Negotiate your start date around LCA filing timelines
Apple must file a Labor Condition Application with the DOL before submitting your H-1B petition. LCA certification typically takes seven business days, but factor that window into your offer negotiation so your proposed start date doesn't create a compliance gap.
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Find Data Engineering Manager at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Data Engineering Managers?
Yes, Apple sponsors H-1B visas for Data Engineering Manager roles. The position qualifies as a specialty occupation under USCIS standards given the degree requirements in computer science, data engineering, or a related field. Apple has an established legal and HR infrastructure for managing H-1B petitions, so sponsorship for this function is a standard part of their hiring process rather than an exception.
How do I apply for Data Engineering Manager jobs at Apple?
Apply directly through Apple's careers site or find verified sponsorship-eligible openings on Migrate Mate, which filters roles by visa type so you're not spending time on positions that won't work for your status. Apple's process typically involves a recruiter screen, technical assessments focused on system design and data infrastructure, and behavioral interviews aligned to their leadership values before an offer is extended.
Which visa types does Apple commonly use for Data Engineering Manager roles?
Apple sponsors H-1B, H-1B1, E-3, TN, and F-1 OPT and CPT for this role, as well as immigrant visa pathways including EB-2 and EB-3 for longer-term sponsorship. The right category depends on your nationality and current status. Australian citizens can use the E-3, Canadians and Mexicans can qualify under TN, and most other nationalities will go through the H-1B cap process.
What qualifications does Apple expect for Data Engineering Manager candidates?
Apple expects a bachelor's or advanced degree in computer science, software engineering, data science, or a closely related technical field. Beyond credentials, they look for hands-on experience building and scaling distributed data pipelines, team leadership in an engineering context, and familiarity with large-scale data infrastructure. Prior experience at companies managing data at a comparable scale to Apple's product ecosystem strengthens an application considerably.
How long does the sponsorship process take for a Data Engineering Manager at Apple?
After an offer is signed, Apple must complete a Labor Condition Application with the DOL (typically seven business days) before filing the H-1B petition with USCIS. Standard processing runs three to six months. Premium processing is available for a fee and reduces USCIS adjudication to 15 business days. If you're changing status from F-1 OPT, plan for your OPT expiration date relative to these timelines to avoid a gap in work authorization.
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