Jobs
Benefits & Perks
•Generous paid time off and holidays
•Flexible work arrangements
•Team events and activities
•Parental leave
•Flexible Hours
•Parental Leave
Required Skills
Python
JavaScript
TypeScript
About the Role
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.
Responsibilities
- Define and evolve the semantic layer that translates business metrics into optimized queries across diverse databases
- Evolve the platform to power AI-driven features including natural language interfaces and intelligent query generation
- Architect and implement high-throughput services that deliver consistent, reliable metrics across the organization
- Optimize performance, connection pooling, and caching strategies across multiple database engines
- Develop and maintain client libraries that drive platform adoption across engineering teams
- Design and build APIs that enable self-service analytics at scale
- Improve developer-facing interfaces and tooling for dataset management and metrics exploration
- Collaborate with cross-functional teams to translate requirements into robust, scalable solutions
Minimum Qualifications
- 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 Star Rocks
- Skilled in building APIs, with preference for experience in g
RPC 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
Preferred Qualifications
- Experience with semantic layers like Cube.Js, DBT and business intelligence tooling
- Front-end web development experience building React and Node Js applications
- 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
Equal Opportunity
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.
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Industrial Designer L2
0 reports
$320,450
total / year
Base
$128,180
Stock
$160,225
Bonus
$32,045
$224,315
$416,585
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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