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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Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating logistics, but developing a genuine technical understanding of the ML experiments you support. You will be responsible for the hands-on bring-up, execution, and quality oversight of internal data collection studies, operating in a highly collaborative and technically demanding cross-functional environment.
Responsibilities:
- Plan, execute, and track internal ML data collection studies in close collaboration with researchers, engineers, and scientists across the organization
- Develop a working understanding of the ML experiments being supported, including model objectives, data requirements, labeling, and evaluation criteria, to ensure datasets quality
- Bring up and maintain pre-release hardware and software platforms used for data collection, performing hands-on troubleshooting and triage to minimize study disruptions
- Create and maintain clear technical documentation for hardware/software platform setup, study protocols, and data handling procedures
- Manage day-to-day logistics of internal study sessions, including scheduling participants, configuring hardware and software setups, and maintaining smooth session flow
- Collaborate with algorithm, infrastructure, and hardware/software teams to gather and validate data collection requirements before and during study execution
- Track and communicate study progress, blockers, participant throughput, and dataset status to cross-functional partners and senior stakeholders
- Identify gaps in existing workflows and take initiative to define, document, and socialize process improvements
Minimum Qualifications
- Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience
- Experience supporting or executing human user studies, behavioral research, or data collection operations in an academic or industry setting
- Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications
Preferred Qualifications
- 10 years of experience in user research operations, data collection coordination, or a related technical operations role
- Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices
- Experience working directly with engineering and science teams, with comfort reading technical documentation, data schemas, or experiment specifications
- Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols
- Highly organized self-starter who can manage multiple concurrent internal studies with minimal oversight
- Strong interpersonal and written communication skills, with the ability to collaborate fluidly across both technical and non-technical stakeholders
- Strong attention to detail with the ability to identify data anomalies and inconsistencies during live collection
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 $184,700 and $324,800, 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. 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.
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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.