This role focuses on data engineering and App Store 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 uncover new business opportunities while adhering to privacy regulations. The team values rapid iteration, open debate, and independent thinking, working collaboratively across various departments. Candidates will contribute to some of the largest e-commerce and media streaming businesses in the world.

• 5+ years of experience in data engineering or business intelligence roles.
• Strong proficiency with SQL and experience with large datasets.
• Demonstrated experience with data engineering tools and concepts.
• Exceptional written and verbal communication skills.
• Strong time management skills to balance multiple projects.
• BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
• Experience in a fast-paced technology company or large-scale App Store or e-commerce platform.
• Advanced proficiency with Python or similar languages.
• Familiarity with data governance and data quality frameworks.
• 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 internet-scale data structures.
• Develop data models and aggregation strategies for analytics and reporting.
• Translate complex data concepts for diverse audiences.
• Collaborate with product, business, and engineering stakeholders.

• 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.