Data Engineer Jobs at Apple with Visa Sponsorship
Data Engineer jobs at Apple sit at the intersection of massive-scale infrastructure and consumer product development, covering data pipelines, analytics engineering, and platform work across hardware and services. Apple has a strong track record of sponsoring international talent for this function across multiple visa categories.
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Get Access To All JobsThe Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand current and future processes and systems, and its impact on finance activities including costing and forecasting. We also work with engineering teams to build finance data platforms and automation solutions to support logistics business.
If you thrive in a fast-moving, collaborative environment and want to solve complex problems with new technology-driven data systems, we’d love to hear from you.
Description
Operations Finance Data Engineer role requires you understand, document and re-engineer Apple's logistics costing and forecast processes, while bringing strong technical expertise in data querying, dashboard development, and large-scale data analysis. You’ll design and build scalable data models, modern Data & Business solutions leveraging tools such as Dataiku, partner with engineering teams to create Agentic/GenAI applications to improve reporting efficiency, enhance data transparency, and support strategic decision-making.
This is a hands-on role working closely with logistics & supply chain finance business partners and cross-functional engineering teams, while also making recommendations to senior leadership. Your work will strengthen data quality, drive automation, and unlock new capabilities at scale.
Responsibilities
- Understand and document finance processes in the logistics & supply chain space.
- Identify and implement process reengineering and automation opportunities to drive efficiency gains.
- Collaborate with financial analysts, engineers, and operations experts to understand data needs and translate them into scalable data foundational structures.
- Build scalable, flexible, and high-performance data pipelines optimized for analytics, reporting, and AI/GenAI workloads.
- Implement best practices in data modeling, governance, lineage, quality, and documentation to drive trust and consistency across the data ecosystem.
- Partner with cross-functional engineering teams to build and support vector-ready data models, feature pipelines, metadata systems, and other foundations required for Agentic & GenAI applications.
Minimum Qualifications
- Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent.
- Advanced SQL skills for complex transformations, optimization, and troubleshooting.
- Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation.
Preferred Qualifications
- Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc.
- Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses.
- Supply Chain, Logistics, Finance and Accounting process knowledge is a plus.
- Excellent communication skills and ability to work independently.
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 $149,200 and $249,000, 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.
The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand current and future processes and systems, and its impact on finance activities including costing and forecasting. We also work with engineering teams to build finance data platforms and automation solutions to support logistics business.
If you thrive in a fast-moving, collaborative environment and want to solve complex problems with new technology-driven data systems, we’d love to hear from you.
Description
Operations Finance Data Engineer role requires you understand, document and re-engineer Apple's logistics costing and forecast processes, while bringing strong technical expertise in data querying, dashboard development, and large-scale data analysis. You’ll design and build scalable data models, modern Data & Business solutions leveraging tools such as Dataiku, partner with engineering teams to create Agentic/GenAI applications to improve reporting efficiency, enhance data transparency, and support strategic decision-making.
This is a hands-on role working closely with logistics & supply chain finance business partners and cross-functional engineering teams, while also making recommendations to senior leadership. Your work will strengthen data quality, drive automation, and unlock new capabilities at scale.
Responsibilities
- Understand and document finance processes in the logistics & supply chain space.
- Identify and implement process reengineering and automation opportunities to drive efficiency gains.
- Collaborate with financial analysts, engineers, and operations experts to understand data needs and translate them into scalable data foundational structures.
- Build scalable, flexible, and high-performance data pipelines optimized for analytics, reporting, and AI/GenAI workloads.
- Implement best practices in data modeling, governance, lineage, quality, and documentation to drive trust and consistency across the data ecosystem.
- Partner with cross-functional engineering teams to build and support vector-ready data models, feature pipelines, metadata systems, and other foundations required for Agentic & GenAI applications.
Minimum Qualifications
- Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent.
- Advanced SQL skills for complex transformations, optimization, and troubleshooting.
- Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation.
Preferred Qualifications
- Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc.
- Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses.
- Supply Chain, Logistics, Finance and Accounting process knowledge is a plus.
- Excellent communication skills and ability to work independently.
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 $149,200 and $249,000, 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.
See all Data Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Data Engineer Jobs at Apple
Align your portfolio to Apple's data stack
Apple's Data Engineer roles consistently require experience with large-scale distributed systems and tools like Spark, Presto, and internal pipeline orchestration. Build or document projects that demonstrate you've worked with data at consumer-product scale, not just enterprise BI tooling.
Target postings that name your visa type
Apple's Data Engineer job descriptions often specify which work authorization types they'll support. Filter for roles that explicitly list your visa category, whether H-1B, E-3, or TN, so you're not eliminated at the recruiter screening stage before a conversation starts.
Understand Apple's legal team handles PERM internally
Apple manages Green Card sponsorship through PERM labor certification with its in-house immigration team. Knowing this means you can ask directly during offer negotiation whether the role is designated for employer-sponsored permanent residency, and at what seniority level that typically begins.
Use Migrate Mate to surface Apple's open roles
Apple posts Data Engineer openings across teams with varying sponsorship scopes. Use Migrate Mate to filter specifically for Apple roles that match your visa type, so you're spending time only on positions where sponsorship is already confirmed.
Request premium processing before your start date
If you're transferring an existing H-1B to Apple, USCIS premium processing gets a decision within 15 business days. Coordinate with Apple's immigration team early so the I-129 petition is filed with enough runway before your intended first day.
Validate your OPT STEM extension eligibility before accepting
Apple is an E-Verify participant, which is a requirement for F-1 students on STEM OPT extensions. Before signing an offer, confirm your degree field appears on the official STEM Designated Degree Program List so your 24-month extension remains valid from day one.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Data Engineers?
Yes, Apple sponsors H-1B visas for Data Engineers and has done so consistently across teams in areas like machine learning infrastructure, analytics, and platform engineering. Sponsorship decisions are role-specific and handled by Apple's in-house immigration team. Because the H-1B is subject to an annual lottery, timing your application cycle and having your offer in place before the March registration window matters.
How do I apply for Data Engineer jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Search for Data Engineer roles and filter by location, typically Santa Clara Valley or Seattle. Tailoring your resume to highlight pipeline architecture, data modeling, and distributed systems experience improves your chances at the recruiter screen. You can also browse Apple's open Data Engineer roles filtered by visa type on Migrate Mate before applying directly.
Which visa types does Apple commonly sponsor for Data Engineer roles?
Apple sponsors H-1B, H-1B1 visa (for Chilean and Singaporean nationals), E-3 visa (for Australian nationals), and TN visas for qualifying Canadian and Mexican candidates. F-1 OPT and STEM OPT extensions are also supported for recent graduates. For longer-term pathways, Apple sponsors EB-2 and EB-3 Green Cards through the PERM labor certification process for eligible employees.
What qualifications does Apple expect for Data Engineer roles?
Apple's Data Engineer postings typically expect a bachelor's or master's degree in computer science, engineering, or a related technical field. Hands-on experience with distributed data processing frameworks like Spark or Flink, proficiency in SQL and Python, and familiarity with cloud infrastructure are standard requirements. Senior roles add expectations around data platform design and cross-functional stakeholder work with product and machine learning teams.
How do I navigate the timeline from offer to visa filing at Apple?
Once you have a signed offer, Apple's immigration team initiates the appropriate petition based on your visa category. For H-1B cap-subject cases, this process is tied to the annual USCIS registration window in March, with an October 1 start date at the earliest. For cap-exempt transfers or E-3 and TN filings, processing can move faster. Expect several weeks of internal preparation before any government filing begins.