Senior Software Data Engineer, App Store
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: enabling countless new companies, spawning new industries, and building millions of jobs. We believe we are just getting started.
Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As a Senior Software Data Engineer on the App Store Data team, you will play an integral role in helping App Store improve the experience for users and developers every day, through analysis grounded in privacy. We build the solutions, services, and analytics that power data-driven innovation for internal stakeholders and external partners. In a world where apps have become essential to daily life, the App Store team has become essential to Apple's business.
Description
As a member of the App Store Data team, you will play a key role in shaping our strategic direction and driving high-impact initiatives. The data we produce informs Apple Leadership and partners, helping guide decisions on innovation and emerging opportunities. Success in this role requires a strong commitment to building world-class analytical solutions.
You will lead the design and delivery of compliance-critical data products, including pipelines and analytical outputs that meet regulatory and privacy requirements. This role also encompasses analytics engineering, exploratory data analysis, ML-driven data observability and developing scalable self-service data products.","responsibilities":"Lead design and build scalable data pipelines with CI/CD ensuring reliability with unit/integration tests
Develop data architectures using distributed systems (e.g., Spark, Kafka) and optimize for high-throughput processing
Implement monitoring, observability, and automated recovery for data systems in production
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Clean, transform, and model large scale data into analytics-ready datasets using Python, Scala or Java
Contribute to large-scale quantitative analysis projects through all phases; this includes data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization
Collaborate with stakeholders from Engineering, Product, Legal, Privacy, and Governance to translate requirements into precise data model specifications and data analytics product
Use AI coding assistants for architecture exploration, pipeline generation, test coverage, and documentation as standard practice. Treat AI-generated code with the same review rigor as human-authored code
Preferred Qualifications
Ability to capture cross-functional requirements and translate them into practical data analysis solutions that drive key product decisions
Experience with ML-based or statistical anomaly detection with exposure to agentic workflow frameworks applied to pipeline generation or monitoring
Experience with data visualization and reporting tools such as Superset, Tableau
Experience with Regulatory and Compliance engineering with GDPR operational requirements, data minimization, DMA, DSA obligations and Privacy-first data architecture at a technical level
Experience working with privacy, legal and regulatory stakeholders in an engineering capacity
Minimum Qualifications
7+ years of experience building production grade distributed data pipeline and data systems
Strong programming skills in Scala or Java, proficient in Python and SQL with excellent analytical and problem-solving skills
Hands-on experience in big data technologies such as: Hadoop, Spark/Flink, Kafka, Airflow, Iceberg, Trino and Kubernetes
Proficiency in data modeling fundamentals, structured and unstructured data analysis, predictive modeling techniques to identify patterns, translate domain requirements into engineering specifications
Active daily use of AI coding assistants, comfortable with LLM-augmented workflows
Excellent communication; proven success partnering with cross-functional stakeholders (Product, Engineering, Legal, Privacy etc.)
Bachelor's Degree in Computer Science, Engineering or a Quantitative discipline (e.g., Statistics, Economics, Mathematics)","internalDetails":null
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 $181,100 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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