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Data Engineer - Capacity Planning - Apple Data Platform

Apple· Software and Services
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Cupertino, California$129.3k - $225.3kFull-timePosted 4w ago

About the role

Data Engineer to build data pipelines, models, and analytical tools for capacity planning across Apple’s data and AI infrastructure, focusing on third-party cloud infrastructure with potential expansion to Apple-owned resources.

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, cost per job, and cost per 1M tokens using measured production utilization.
  • Integrate workload demand, utilization telemetry, capacity commitments, and financial data into a common planning framework.
  • Reconcile model outputs to actuals and implement data-quality controls for missing tags, anomalies, and duplicate records.
  • Build forecasting and scenario-analysis tools that help leaders evaluate capacity, utilization, and pricing decisions before committing spend.
  • Identify optimization opportunities such as idle reserved capacity, underutilized clusters, and inefficient workloads, and quantify the associated savings.
  • Automate recurring capacity-planning, forecasting, and reporting workflows.
  • Partner with engineering teams to understand workload growth, migrations, SLOs, and architecture changes that affect capacity needs.
  • Work with CIBO, Finance, and Procurement to support cloud commitments, infrastructure investment decisions, and long-range capacity planning.
  • Communicate insights, risks, and recommendations clearly to technical and business stakeholders.

Qualifications

  • 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
  • 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 Computer Science, Engineering, Data Science, Statistics, Mathematics, Economics, Finance, or a related quantitative field, or equivalent practical experience.

Skills

Required:SQLPythonData modelingETL/ELTCloud billing/usage data
Nice to have:Data visualization

Benefits

  • Apple base pay range provided: $129,300 - $225,300, with compensation determined by skills, qualifications, experience, and location.
  • Discretionary employee stock programs, eligibility for restricted stock units, and Employee Stock Purchase Plan.
  • Comprehensive medical and dental coverage, retirement benefits, discounts on products and services, and education reimbursement for career advancement.
  • Potential for discretionary bonuses or commission payments and relocation.
Last updated Sep 25, 2026. Interested? Apply on the company site.

About Apple

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