Senior Software Engineer, Apple Data Platform

The Apple Data Platform team within the Services organization builds the core infrastructure that powers analytics and machine learning across Apple’s ecosystem. We are seeking experienced engineers to drive the development of next-generation data platform technologies. Collaborating closely with engineering teams across Apple, you’ll create high-scale, reliable systems that meet stringent data requirements while upholding Apple’s commitment to privacy and security. You’ll be encouraged and supported to do your best work and to have fun doing so.

Description

We provide advanced platforms and services to enable seamless data movement across Apple’s ecosystem, handling petabytes of data that impact hundreds of millions of customers worldwide. In this role, you’ll design and build robust infrastructure to power Apple’s highly visible, global-scale systems, prioritizing exceptional usability, performance, scalability, and reliability. Collaborating with diverse engineering teams, you’ll help them integrate these platforms into their products, driving innovation and impact. We’re seeking a talented, passionate developer with a strong technical vision to join our team. You’ll take on significant individual responsibility, shaping the future of critical services for years to come. The ideal candidate combines outstanding communication skills with proven expertise in designing and implementing data infrastructure. With sharp business acumen and a proactive drive to deliver results, you excel as a self-starter in a fast-paced, dynamic environment. Your ability to navigate ambiguity and deliver impactful contributions will directly influence Apple’s data ecosystem.

Minimum Qualifications

4+ years hands-on experience in designing, developing, and deploying data processing applications and frameworks. Expertise at building micro-services using Kubernetes. Proficient in Go/Java, with understanding of recent language features and frameworks. Expertise at building jobs with Apache Spark using Scala is highly desirable. In-depth knowledge of SQL databases. Experience with distributed and cloud storage systems such as HDFS, S3, etc. An ability to communicate with users and drive adoption, to troubleshoot and diagnose issues, and to work effectively with teams adopting our tools. Ability to write and deploy well-tested production code. A drive for modern software engineering practices. B.S. in Computer Science or equivalent experience

Preferred Qualifications

Understanding of data storage technologies, for example: serialization, schemas, file and table formats for large-scale data processing. Understanding of formats such as Apache Iceberg and Parquet is a benefit.