This role focuses on data engineering and iCloud analytics within Apple, aiming to build robust data pipelines and complex data models. The Apple Services Data Science & Analytics organization seeks to enhance customer experience and drive business growth while ensuring user privacy. The team emphasizes rapid iteration, open debate, and independent thinking to improve e-commerce and media streaming services. Candidates will work collaboratively across various teams, including product, design, and engineering.

• 5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale.
• Strong proficiency with SQL and proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets.
• Advanced proficiency with Python or similar languages, and experience with distributed computing frameworks for complex data manipulation and analytics.
• Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting.
• Exceptional written and verbal communication skills, with the ability to translate complex data concepts for diverse audiences including product, business, and engineering stakeholders.
• Strong time management skills with the ability to balance multiple projects with competing priorities.
• BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
• Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems.
• Familiarity with data governance, data quality frameworks, or metadata management concepts.
• MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.

• Build and maintain complex data pipelines and data models at scale.
• Query, manipulate, and analyze large datasets to derive insights.
• Develop and implement data engineering tools and concepts to support analytics and reporting.
• Communicate complex data concepts effectively to diverse stakeholders.
• Manage multiple projects and prioritize tasks in a fast-paced environment.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.