Data Engineer - Capacity Planning

Apple’s Data Platform organization is building the data foundation that powers smarter infrastructure capacity planning across data and AI systems. In this onsite role in Cupertino, CA, you’ll help connect telemetry, workload demand, and financial signals so teams can understand utilization, forecast needs, and make higher-confidence planning and investment decisions.

What you’ll do

• Combine infrastructure telemetry, workload demand, capacity commitments, and financial data into trusted datasets and data products.
• Develop pipelines and analytical foundations to measure current utilization, forecast future requirements, surface capacity gaps, and improve infrastructure efficiency.
• Partner with engineering and business teams to translate complex infrastructure data into actionable insights.
• Collaborate closely with Engineering, CIBO, Finance, and Procurement to support better infrastructure planning and investment decisions.
• Start with third-party cloud infrastructure, including GPUs, TPUs, compute, and storage, and expand over time to Apple-owned infrastructure.

What you bring

• 3+ years of experience in Data Engineering, Analytics Engineering, Infrastructure Analytics, 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.
• Hands-on experience building data pipelines, data models, and analytical datasets.
• Understanding of ETL/ELT patterns, including data quality and pipeline reliability.
• Experience working with cloud billing and usage data from AWS, GCP, or Azure.
• Proven ability to build data models that reconcile to a financial source of truth.
• Understanding of AI and ML inference workloads and how model serving drives compute cost.
• Strong analytical and problem-solving skills.
• Ability to work effectively with both technical and non-technical partners.
• Bachelor’s degree in a relevant quantitative field, or equivalent practical experience.

Technologies you’ll use

SQL, Python, ETL, ELT, AWS, GCP, Azure, AI, ML

Preferred background

• Experience with infrastructure capacity planning, forecasting, or resource-management data.
• Experience with GPU/TPU/CPU, storage, or cloud infrastructure.
• Understanding of AI/ML infrastructure and accelerator utilization.
• Experience with infrastructure cost, billing, or utilization datasets.
• Exposure to tools such as Spark, Trino, Airflow, Kafka, or similar data-platform technologies.
• Experience with Tableau or other visualization platforms.
• Familiarity with infrastructure economics, cloud commitments, or capacity optimization.
• Experience partnering with Engineering, Finance, or Procurement on infrastructure planning.

Compensation and benefits

Salary range: USD 129,300 - 225,300 per year.

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary employee stock programs (discretionary restricted stock unit awards; ability to purchase Apple stock at a discount with voluntary participation in the Employee Stock Purchase Plan)
• Discretionary bonuses or commission payments, and relocation (if eligible)