Analytics Engineer Jobs at Apple with Visa Sponsorship
Analytics Engineer jobs at Apple sit at the intersection of data infrastructure and product intelligence, supporting teams that build and scale some of the world's most used consumer technology. Apple has a strong track record of sponsoring international talent for this function across multiple visa categories, making it a realistic target for qualified candidates.
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Get Access To All JobsINTRODUCTION
Gaming is a massive and rapidly growing part of the Apple ecosystem, bringing joy to hundreds of millions of players across all Apple devices. The Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. We believe we are just getting started in redefining the gaming landscape.
We are seeking a software data engineer to join the Apple Games App Data Engineering team. In this role, you will help deliver an unparalleled gaming experience and improve the platform every day for both players and game developers by generating insights from data in a privacy-friendly manner. We enable data-driven innovation by building solutions, services, and analytical workloads for a variety of internal collaborators and external gaming partners. In a world where gaming has become a central pillar of digital entertainment, the Apple Games team is essential to Apple's business.
DESCRIPTION
As a member of the Apple Games App Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software processes dozens of terabytes of gaming and player engagement data on a daily basis. Our jobs and applications must be efficient, scalable, and stable.
Although we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce powers Apple leadership and our game developer partners with insights about player behavior, new innovations, and the next big things in gaming. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.
To succeed here you will need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. You will collaborate closely with engineering, product, and partner organizations. Privacy is a foundational engineering requirement in everything we build, and our solutions are designed to comply with Apple's privacy principles from the ground up. Our team is small and focused, where engineers work across a broad range of problems.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Computer Science, Engineering, or equivalent related experience
- Experience building analytics and data solutions specifically for game developers.
- Familiarity with third-party analytics tools and platforms used in the gaming industry.
- 5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
- 5+ years of programming experience in Scala (preferred) or Java.
- Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
- Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
PREFERRED QUALIFICATIONS
- Good understanding of software engineering principles and fundamentals including algorithms and data structures.
- Self-directed, self-motivated, and ability to create architecture and design documents.
- Ability to capture cross-functional requirements and translate them into practical engineering tasks.
- Excellent communication skills and proven ability to work in a cross-functional environment.
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 $147,400 and $272,100, 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.
INTRODUCTION
Gaming is a massive and rapidly growing part of the Apple ecosystem, bringing joy to hundreds of millions of players across all Apple devices. The Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. We believe we are just getting started in redefining the gaming landscape.
We are seeking a software data engineer to join the Apple Games App Data Engineering team. In this role, you will help deliver an unparalleled gaming experience and improve the platform every day for both players and game developers by generating insights from data in a privacy-friendly manner. We enable data-driven innovation by building solutions, services, and analytical workloads for a variety of internal collaborators and external gaming partners. In a world where gaming has become a central pillar of digital entertainment, the Apple Games team is essential to Apple's business.
DESCRIPTION
As a member of the Apple Games App Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software processes dozens of terabytes of gaming and player engagement data on a daily basis. Our jobs and applications must be efficient, scalable, and stable.
Although we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce powers Apple leadership and our game developer partners with insights about player behavior, new innovations, and the next big things in gaming. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.
To succeed here you will need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. You will collaborate closely with engineering, product, and partner organizations. Privacy is a foundational engineering requirement in everything we build, and our solutions are designed to comply with Apple's privacy principles from the ground up. Our team is small and focused, where engineers work across a broad range of problems.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Computer Science, Engineering, or equivalent related experience
- Experience building analytics and data solutions specifically for game developers.
- Familiarity with third-party analytics tools and platforms used in the gaming industry.
- 5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
- 5+ years of programming experience in Scala (preferred) or Java.
- Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
- Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
PREFERRED QUALIFICATIONS
- Good understanding of software engineering principles and fundamentals including algorithms and data structures.
- Self-directed, self-motivated, and ability to create architecture and design documents.
- Ability to capture cross-functional requirements and translate them into practical engineering tasks.
- Excellent communication skills and proven ability to work in a cross-functional environment.
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 $147,400 and $272,100, 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 56+ Analytics Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Analytics Engineer Jobs at Apple
Align your portfolio to Apple's data stack
Apple's analytics engineering teams work heavily with large-scale event data and internal tooling. Before applying, build portfolio projects that demonstrate experience with SQL, dbt, and pipeline orchestration at scale, not just dashboarding or reporting work.
Target roles flagged for multiple visa types
Apple sponsors H-1B, E-3, TN, and F-1 OPT for Analytics Engineer roles. When reviewing job postings, prioritize listings that explicitly name multiple visa categories, as these signal broader hiring flexibility and a smoother internal sponsorship process.
Use Migrate Mate to filter Apple's open roles
Apple posts Analytics Engineer openings across several business units simultaneously. Use Migrate Mate to filter specifically for Apple roles that match your visa type, so you're applying to positions where sponsorship is already confirmed rather than guessing from a general job board.
Prepare your LCA documentation before the offer stage
Apple files a Labor Condition Application with the DOL before your H-1B petition can proceed. Understanding prevailing wage levels for your target location in advance helps you negotiate confidently and avoids surprises when the offer letter specifies a wage tier.
Front-load your technical interview with systems thinking
Apple's analytics engineering interviews weight data modeling design and systems architecture heavily. Candidates who frame past work around upstream dependencies, schema design decisions, and downstream consumer needs consistently report stronger outcomes than those focused solely on query optimization.
Time your OPT application to cover the H-1B cap gap
If you're on F-1 OPT, confirm your OPT end date against the H-1B cap-subject start date of October 1. If there's a gap, USCIS cap-gap protection may extend your work authorization automatically, but only if your employer files before your OPT expires.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Analytics Engineers?
Yes, Apple sponsors H-1B visas for Analytics Engineer roles. Apple participates in the annual H-1B lottery each spring and files petitions for selected candidates ahead of the October 1 start date. Because Apple is a large employer, it has established internal immigration teams that manage the petition process, which typically means a more structured and predictable experience for sponsored employees than smaller companies can offer.
How do I apply for Analytics Engineer jobs at Apple?
Applications go through Apple's careers portal at apple.com/careers. Analytics Engineer roles are posted across multiple business units, including Apple Services, hardware product teams, and retail analytics. Search by role title and filter for your location. If you want to find only the roles that align with your visa type before applying, Migrate Mate lets you browse Apple's open Analytics Engineer positions filtered by sponsorship eligibility.
Which visa types does Apple commonly sponsor for Analytics Engineers?
Apple sponsors a range of visa categories for Analytics Engineer roles, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current students, and employment-based Green Cards through EB-2 and EB-3. The right category depends on your nationality, degree, and career stage. Apple's internal immigration team typically advises on the best pathway once you have an offer.
What qualifications does Apple look for in Analytics Engineer candidates?
Apple's Analytics Engineer postings consistently require proficiency in SQL, experience with data modeling frameworks like dbt, and familiarity with large-scale data pipelines. A bachelor's degree in computer science, statistics, or a related quantitative field is the baseline for H-1B specialty occupation requirements. Candidates with experience in consumer electronics or platform-scale data infrastructure tend to be more competitive for Apple's hardware and services business units specifically.
How does the sponsorship timeline work for an Analytics Engineer offer at Apple?
Once you have an offer, Apple's immigration team files a Labor Condition Application with the DOL, which typically certifies within seven business days. For H-1B cap-subject cases, USCIS registration opens each March and results are announced within weeks. If selected, the petition is filed by June for an October 1 start date. Premium processing is available and reduces the USCIS adjudication window to 15 business days, which Apple sometimes uses for time-sensitive hires.