Capacity Planning Data Engineer for Infrastructure

Apple Inc.; Cupertino (CA); On-site; USD 129,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee discounts on products

Job summary

Apple Inc. is seeking a Data Engineer focused on Capacity Planning to build data pipelines and analytical datasets for infrastructure demand, utilization, and cost. You will work across GPU/TPU/CPU, storage, and other resources to forecast needs and drive efficiency.

You will partner with Engineering, CIBO, Finance, and Procurement to translate complex data into actionable planning insights and decision support for long-range capacity investments.

Qualifications

• 3+ years of experience in Data Engineering, Analytics Engineering, Infrastructure Analytics, or related field.
• Strong SQL skills and experience with large datasets.
• Experience with Python or another data processing language.
• Experience building data pipelines, data models, and analytic datasets.
• Understanding of ETL/ELT patterns, data quality, and pipeline reliability.
• Experience 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/ML inference workloads and model serving costs.
• Strong analytical and problem-solving skills.
• Ability to work with both technical and non-technical partners.
• Bachelor's degree or equivalent practical experience.

Responsibilities

• Build and maintain data pipelines for infrastructure capacity, utilization, performance, and cost data.
• Develop trusted data models for GPU, TPU, CPU, storage, and other infrastructure resources.
• Build cost models that calculate unit economics such as cost per GPU hour and per 1M tokens.
• Integrate workload demand, utilization telemetry, capacity commitments, and financial data.
• Implement data-quality controls for missing tags and anomalies.
• Build forecasting and scenario-analysis tools for capacity and pricing decisions.
• Identify optimization opportunities and quantify potential savings.
• Automate recurring capacity-planning, forecasting, and reporting workflows.
• Collaborate with engineering to understand workload growth and architecture changes.
• Support cloud commitments and long-range capacity planning with Finance and Procurement.
• Communicate insights clearly to technical and business stakeholders.

Skills

SQL

Python

Data pipelines

Data models

ETL/ELT

Billing data

Cloud platforms

Analytics

Communication

Education

Bachelor's degree

Tools

Spark

Trino

Airflow

Kafka

Tableau

Job description

Apple Inc. is seeking a Data Engineer focused on Capacity Planning to build data pipelines and analytical datasets for infrastructure demand, utilization, and cost. You will work across GPU/TPU/CPU, storage, and other resources to forecast needs and drive efficiency.

You will partner with Engineering, CIBO, Finance, and Procurement to translate complex data into actionable planning insights and decision support for long-range capacity investments.