Apple
Data Engineer - Capacity Planning - Apple Data Platform
$129K–$225K
Cupertino, California · Full-time · Posted Sep 23, 2026
- Experience
- 3+ years in Data Engineering, Analytics Engineering, Infrastructure Analytics, or a related field.
- Education
- Bachelor’s degree in a related quantitative field, or equivalent practical experience.
About the job
Build data pipelines, models, and planning tools that help Apple forecast infrastructure demand, utilization, capacity, and cost, initially for third-party cloud infrastructure.
What you'll do
- Integrate infrastructure telemetry, workload demand, capacity commitments, and financial data into trusted datasets and planning frameworks.
- Build cost models, forecasts, scenario-analysis tools, and data-quality controls to support capacity and investment decisions.
- Identify infrastructure efficiency opportunities and communicate risks, insights, and recommendations to technical and business partners.
What they ask for
- 3+ years of experience in Data Engineering, Analytics Engineering, Infrastructure Analytics, or a related field.
- Strong SQL skills; experience with large datasets, data pipelines, data models, and analytical datasets.
- Experience with Python or another data-processing and automation language; understanding of ETL/ELT, data quality, and pipeline reliability.
- Experience with cloud billing and usage data from AWS, GCP or Azure, and building models that reconcile to a financial source of truth.
Nice to have
- Experience with infrastructure capacity planning, forecasting, resource-management data, or GPU/TPU/CPU and cloud infrastructure.
- Experience with Spark, Trino, Airflow, Kafka, Tableau, or similar tools.
Pay
$129,300 to $225,300 USD base salary
Tools
SQL, Python, AWS, GCP, Azure, Spark, Trino, Airflow
AI focus
Support capacity planning and cost analysis for AI/ML inference workloads, including GPU and TPU utilization and how model serving drives compute cost.
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