Senior Data Engineer, Platform Financial Governance, Apple Data Platform

Apple • Cupertino, CA

1d

About The Position

The Apple Data Platform powers analytics, machine learning, and critical
decision-making systems across Apple. As the scale of our data and compute
grows, cost efficiency and fiscal stewardship are vital to maintaining Apple’s
culture of innovation and responsibility.

DESCRIPTION

We are seeking a Senior Data Engineer for the Platform Financial Governance team
to help build the technical foundation of Apple’s infrastructure economy. In
this role, you will design and implement the scalable data systems that make
"cost" a first-class citizen in our engineering stack. You will play a key role
in building a robust financial governance platform developing the data models,
real-time pipelines, and enforcement mechanisms that ensure every unit of
compute is accounted for and optimized. You will work closely with Service
engineers and cross-functional partners to build tooling that allows engineering
teams to self-govern their usage while providing leadership with granular
visibility into total cost of ownership (TCO).

Requirements

• 5+ years of experience in Data Engineering, Platform Engineering, or Backend Software Engineering.
• Strong proficiency in distributed data processing frameworks (e.g., Apache Spark, Flink, Trino/Presto) and modern table formats (Iceberg, Delta Lake).
• Strong, production-grade coding skills in Java, Scala, or Python, with a solid grasp of data structures, algorithms, and software design patterns.
• Familiarity with cloud infrastructure (AWS/GCP/Kubernetes) and the basics of cloud resource management (instances, storage classes).
• Experience designing dimensional models and managing schema evolution for complex datasets.
• Ability to debug complex distributed system issues and optimize code for performance and scalability.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field.

Nice To Haves

• Experience working with cloud billing data (AWS Cost Explorer, CUR files) or general cost management principles.
• Experience working with Kubernetes concepts (pods, namespaces, resource requests/limits).
• Experience building real-time data pipelines using Kafka, Flink, or Spark Streaming.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees