The Apple Data Platform organization is seeking a Data Engineer to develop data pipelines, models, and analytical tools for capacity planning across Apple's data and AI infrastructure. This role will initially focus on third-party cloud infrastructure and will expand to Apple-owned infrastructure over time. The Data Engineer will collaborate with various teams to enhance infrastructure planning and investment decisions. The position requires strong analytical skills to transform complex data into actionable insights.

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related field.
• Strong SQL skills and experience working with large datasets.
• Experience with Python or another language used for data processing and automation.
• Understanding of ETL/ELT patterns, data quality, and pipeline reliability.
• Experience working with cloud billing and usage data from AWS, GCP, or Azure.
• Bachelor's degree in a quantitative field or equivalent practical experience.

• Build data pipelines and analytical foundations to understand current utilization and forecast future needs.
• Integrate infrastructure telemetry, workload demand, capacity commitments, and financial data into trusted datasets.
• Identify capacity gaps and improve infrastructure efficiency.
• Partner with engineering and business teams to turn complex infrastructure data into actionable insights.
• Work closely with Finance and Procurement to support infrastructure planning and investment decisions.

• 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.