Senior / Staff Data Analytics Engineer, SDLC Platform

Apple • San Francisco, CA

1d

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level