Capacity Planning Data Engineer — Forecast & Cost Analytics

DataJobs; Cupertino (CA); On-site; USD 129,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Apple employee stock programs

Expense reimbursement for education

Relocation assistance

Product discounts

Job summary

Apple is seeking a Data Engineer for Capacity Planning in Cupertino, CA (onsite) to design trusted datasets and analytical tooling that support forecasting of infrastructure demand and cost. The role begins with third-party cloud infrastructure capacity and planning, with the scope expected to expand to Apple-owned infrastructure over time.

You will build and maintain data pipelines and data models that capture infrastructure capacity, utilization, performance, and cost, feeding unit economics

Qualifications

• 3+ years in Data Engineering, Analytics Engineering, Infrastructure Analytics, or related field.
• Strong SQL skills with large datasets.
• Experience using Python or another language 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 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.
• Bachelor’s degree in CS/Engineering/Data Science/Stats/etc. 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 resources.
• Create cost models to compute unit economics such as cost per GPU hour, per job, and per 1M tokens.
• Combine workload demand, utilization telemetry, capacity commitments, and financial data into a shared planning framework.
• Reconcile model outputs to actual results and apply data-quality controls for missing tags, anomalies, and duplicates.
• Build forecasting and scenario-analysis tools to evaluate capacity, utilization, and pricing decisions ahead of infrastructure investment.
• Identify optimization opportunities including idle reserved capacity, underutilized clusters, and inefficient workloads, and quantify potential savings.
• Automate recurring capacity-planning, forecasting, and reporting workflows.
• Partner with engineering teams to understand workload growth, migrations, SLOs, and architecture changes that impact capacity needs.
• Work with CIBO, Finance, and Procurement to support cloud commitments and long-range capacity planning.
• Communicate insights, risks, and recommendations clearly to technical and business stakeholders.

Skills

SQL

Python

Data pipelines

Data modeling

ETL/ELT

Cloud billing data

Financial data reconciliation

AI/ML cost awareness

Analytical thinking

Stakeholder communication

Education

Bachelor's degree or equivalent in a quantitative field

Tools

Spark

Trino

Airflow

Kafka

Tableau

AWS

GCP

Azure

Job description

Apple is seeking a Data Engineer for Capacity Planning in Cupertino, CA (onsite) to design trusted datasets and analytical tooling that support forecasting of infrastructure demand and cost. The role begins with third-party cloud infrastructure capacity and planning, with the scope expected to expand to Apple-owned infrastructure over time.

You will build and maintain data pipelines and data models that capture infrastructure capacity, utilization, performance, and cost, feeding unit economics