Job Information
Apple Senior / Staff Data Analytics Engineer, SDLC Platform in San Francisco, California
Role Number: 200650958-3577
Summary
Do you love building elegant systems that make engineering teams measurably better? Do you like transforming complex data into actionable insights? Are you passionate about applying software engineering rigor to the measurement and optimization of the development lifecycle itself? As part of our Software Development Life Cycle (SDLC) team, you'll architect and engineer a comprehensive analytics platform that provides deep telemetry across the entire software development lifecycle. Your work will empower engineering teams across Apple to quantify their performance, identify bottlenecks, and continuously improve their development workflows.
Description
We are seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background to join our team. The ideal candidate brings production-grade software engineering discipline to data systems — designing robust data models, building data pipelines, and creating analytics solutions that scales across one of the world's largest software organizations.
Modern software development at Apple spans multiple specialized platforms — source control, build system, deployment orchestration, artifact management, and observability tooling. Each generates rich telemetry, but analyzing these signals in isolation yields limited insight. You'll solve this by engineering a unified analytics platform that correlates events across the entire development pipeline, turning fragmented data into a coherent picture of engineering effectiveness.
Minimum Qualifications
7+ years of relevant experience in software engineering foundations with significant experience building and operating production data systems
Proven track record of designing, shipping, and maintaining internal or external data-intensive products end-to-end
Deep expertise in data modeling, including time-series and dimensional modeling approaches
Hands-on experience with event streaming platforms (e.g., Kafka) and pipeline orchestration frameworks (e.g., Airflow, Spark)
Proficiency in Java, Python, and SQL; comfort working across the full data stack from ingestion to serving
Solid understanding of database technologies for both operational and analytical workloads
BS in Computer Science or related fields
Preferred Qualifications
Experience building analytics or telemetry platforms for software development workflows
Hands-on familiarity with SDLC tooling — Git, build systems, CI/CD pipelines, deployment orchestration
Strong software design skills: ability to write clean, testable, maintainable code in a collaborative engineering environment
Strong problem-solving and analytical skills
Ability to work well in a team and communicate effectively with both technical and non-technical stakeholders
Self-motivated and well-organized, with a demonstrated ability to take ownership and drive ambiguous projects to completion
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .