Build the data foundation for infrastructure capacity planning across Apple’s data and AI systems.

Combine infrastructure telemetry, workload demand, capacity commitments, and financial information into trusted datasets and data products.
Develop pipelines and analytical foundations to understand current utilization, forecast future needs, detect capacity gaps, and improve infrastructure efficiency.
Collaborate with engineering and business partners to convert complex infrastructure data into actionable insights.
Partner closely with engineering, CIBO, Finance, and Procurement to support better infrastructure planning and investment decisions.

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.
Experience building data pipelines, data models, and analytical datasets.
Understanding of ETL/ELT patterns, data quality, and pipeline reliability.
Experience working with cloud billing and usage data from AWS, GCP, or Azure.
Demonstrated ability to build data models that reconcile to a financial source of truth.
Understanding of AI and ML inference workloads and how model serving impacts compute cost.
Strong analytical and problem-solving skills.
Ability to work effectively with both technical and non-technical partners.
Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Economics, Finance, or a related quantitative field, or equivalent practical experience.

Experience with infrastructure capacity planning, forecasting, or resource-management data.
Experience working with GPU, TPU, CPU, storage, or cloud infrastructure.
Understanding of AI/ML infrastructure and accelerator utilization.
Experience with infrastructure cost, billing, or utilization datasets.
Experience with data-platform tools such as Spark, Trino, Airflow, Kafka, or similar.
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.

Comprehensive medical and dental coverage
Retirement benefits
Range of 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 if voluntarily participating in the Employee Stock Purchase Plan)
Discretionary bonuses or commission payments, plus relocation (if eligible)

Initial focus: third-party cloud infrastructure including GPUs, TPUs, compute, and storage.
Expansion over time: includes Apple-owned infrastructure.

Data Engineer - Capacity Planning

Job Description