Apple's App Store is seeking a highly skilled Software Data Engineer to join the App Store Data organization. This role involves shaping next-generation App Store insights and data products by building scalable, privacy-forward data pipelines, analytical solutions, and actionable insights. The team focuses on enabling data-driven innovation for external partners while maintaining data quality, privacy, and engineering excellence. It's a software engineering role with strong analytics responsibilities, building robust, production-quality code and processing petabytes of data daily, with a deep focus on data correctness, semantics, lineage, and usability.

Must Have

• Design, build, and maintain efficient, scalable, and reliable data pipelines using Spark, Flink, or similar distributed systems.
• Implement service layer components that encapsulate business logic and expose data products to downstream clients.
• Develop high-quality software in Scala, Python, or Java following best practices (code reviews, testing, CI/CD).
• Manage real-time and batch data systems across technologies such as Hadoop, Iceberg, Kafka, Airflow, and Kubernetes.
• Conduct exploratory analysis and help define KPIs, metrics, and data quality standards.
• Work closely with engineering, product, privacy, compliance, and other internal partners to design new features and data products.
• Partner with SRE teams to monitor, troubleshoot, and optimize large-scale production workloads.
• Review code, mentor teammates, and contribute to a collaborative and inclusive engineering culture.
• 5+ years of experience in data engineering, analytics engineering, software data engineering, or similar roles.
• Experience building and maintaining service layer applications, including data access patterns and integration with backend data systems.
• Strong programming skills in Scala or Java.
• Expert-level proficiency with SQL and advanced data manipulation techniques.
• Hands-on experience with big-data technologies (Hadoop/HDFS, Spark/Flink, Kafka, Airflow, Iceberg, or related tools).
• Proven track record building scalable, production-quality distributed data pipelines.
• Deep understanding of computer science fundamentals—algorithms, data structures, complexity.
• Excellent communication skills and ability to work in a highly cross-functional environment.
• Bachelor's degree or equivalent work experience in Computer Science, Engineering, Business Information Systems, or other quantitative degree.

Good to Have

• Familiarity with functional programming concepts.
• Understanding of emerging AI/ML techniques and their application to large-scale analytics.
• Experience working in data privacy, trust & safety, compliance, or governance domains.
• Skilled in writing design documents and technical specifications for new data products.

Perks & Benefits

• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
• Eligible for discretionary restricted stock unit awards.
• Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Reimbursement for certain educational expenses (including tuition) for formal education related to advancing your career at Apple.
• Might be eligible for discretionary bonuses or commission payments.
• Might be eligible for relocation.

Data Analytics Engineer - Apple Services Engineering

Apple’s App Store is the world’s largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. We’re seeking a highly skilled Software Data Engineer to join the App Store Data organization. In this role, you will help shape the next generation of App Store insights and data products by building scalable, privacy-forward data pipelines, analytical solutions, and actionable insights. Our team enables data-driven innovation for external partners, while maintaining data quality, privacy, and engineering excellence as first-class citizens.

Our teams remain small, highly collaborative, and cross-functional, providing deep ownership and broad exposure to impactful opportunities.

As a member of the App Store Data team, you will play a key role in building large-scale distributed data systems. This is a software engineering role with strong analytics responsibilities. We build robust, production-quality code and process petabytes of data daily. Data is our core product, and we care deeply about its correctness, semantics, lineage, and usability.

• In this role, you will:
• Design, build, and maintain efficient, scalable, and reliable data pipelines using Spark, Flink, or similar distributed systems.
• Implement service layer components that encapsulate business logic and expose data products to downstream clients.
• Develop high-quality software in Scala, Python, or Java following best practices (code reviews, testing, CI/CD).
• Manage real-time and batch data systems across technologies such as Hadoop, Iceberg, Kafka, Airflow, and Kubernetes.
• Conduct exploratory analysis and help define KPIs, metrics, and data quality standards.
• Work closely with engineering, product, privacy, compliance, and other internal partners to design new features and data products.
• Partner with SRE teams to monitor, troubleshoot, and optimize large-scale production workloads.
• Review code, mentor teammates, and contribute to a collaborative and inclusive engineering culture.

• 5+ years of experience in data engineering, analytics engineering, software data engineering, or similar roles.
• Experience building and maintaining service layer applications, including data access patterns and integration with backend data systems.
• Strong programming skills in Scala or Java.
• Expert-level proficiency with SQL and advanced data manipulation techniques.
• Hands-on experience with big-data technologies (Hadoop/HDFS, Spark/Flink, Kafka, Airflow, Iceberg, or related tools).
• Proven track record building scalable, production-quality distributed data pipelines.
• Deep understanding of computer science fundamentals—algorithms, data structures, complexity.
• Excellent communication skills and ability to work in a highly cross-functional environment.
• Bachelor's degree or equivalent work experience in Computer Science, Engineering, Business Information Systems, or other quantitative degree.

• Familiarity with functional programming concepts.
• Understanding of emerging AI/ML techniques and their application to large-scale analytics.
• Experience working in data privacy, trust & safety, compliance, or governance domains.
• Skilled in writing design documents and technical specifications for new data products.

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 $139,500 and $258,100, 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.

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

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Apple accepts applications to this posting on an ongoing basis.