About The Position

Apple's Analytics Engineering team builds the platforms that empower millions of developers and content creators to understand and grow their businesses on Apple's platforms. We also power the internal analytics that help Apple's business teams make critical decisions. We're looking for a Senior Software Engineer to join our team and help shape the next generation of analytics experiences at Apple You'll work on our semantic layer platform, the connective tissue between business metrics and the databases that power them. This is the foundation that enables developers, content creators, and internal teams to explore data, uncover insights, and make informed decisions. In this role, you will design and build core systems that translate business metrics into optimized queries across diverse database types. You'll shape developer experience through client libraries and interfaces while evolving our semantic layer to enable AI-driven analytics capabilities. If you're excited by the idea of building systems that make data accessible, trustworthy, and fast at Apple scale, this is your opportunity.

Requirements

  • Bachelor's or Master's degree in Computer Science, or related field 5+ years of software engineering experience with significant backend development exposure
  • Expert-level proficiency in Go, with deep understanding of concurrency patterns and performance optimization
  • Experience building and operating high-throughput services handling thousands of requests per second
  • Strong SQL skills and experience working with analytical databases and data warehouses such as Snowflake and StarRocks
  • Skilled in building APIs, with preference for experience in gRPC and REST
  • Solid understanding of distributed system design including connection pooling, caching, and rate limiting
  • Strong grasp of data structures and algorithms
  • Effective communication skills and experience in Agile work environments

Nice To Haves

  • Experience with semantic layers, metrics frameworks, or business intelligence tooling
  • Front-end web development experience, particularly with modern JavaScript frameworks
  • Experience building and publishing client libraries in Java
  • Familiarity with observability practices including distributed tracing and metrics collection
  • Understanding of security patterns including authentication, authorization, and query sanitization
  • Adeptness in using AI coding agents to accelerate development workflows

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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