This role pays more than
91%
of similar roles. Most pay
$150,712–$214,600
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3587 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2768 roles with salary data.
Software Engineer - Data Platform
The Software Engineer - Data Platform joins the Apple Services Engineering team to develop privacy-first instrumentation capabilities across various products and services. This role involves designing, launching, and supporting new data tooling and standards to address high-level analytics questions at scale. The engineer will manage the end-to-end product lifecycle for client instrumentation, create detailed specifications for data collection, and build frameworks to gather analytics from platforms including iOS, macOS, tvOS, watchOS, visionOS, and web browsers. Key responsibilities include designing privacy-preserving systems and collaborating with cross-functional teams like legal and data science. Required skills include expertise in data structures, algorithms, and experience with languages such as Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, or Vue. Preferred technical knowledge includes differential privacy, cryptography, tokenization, and privacy-enhancing technologies for large-scale distributed systems.
What does a Software Engineer earn in California?
Median $214000 from 925 postings across 71 companies.
Design and implement privacy-preserving systems across all Apple Services Engineering products and services.
Develop frameworks and tools to collect analytics data from multiple platforms including iOS, macOS, and web browsers.
Manage the end-to-end product lifecycle for client instrumentation capabilities by creating detailed technical specifications.
Design and support new data infrastructure to address complex, large-scale analytics requirements.
Serve as a subject-matter expert to advise stakeholders on how analytics requests impact server and client systems.
Lead discussions with legal and privacy teams to ensure data collection complies with Apple's privacy policies.
Translate ambiguous high-level business questions into concrete engineering tasks for cross-functional teams.
What we're looking for
BS or MS in Computer Science or equivalent industry experience.
5+ years of experience as a software engineer, technical product manager, or engineering-focused management consultant.
Strong software design skills with deep knowledge of data structures and algorithms.
5+ years of professional experience with data/analytics systems, frameworks, or languages like Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, or Vue.
Ability to translate ambiguous high-level analytics questions into concrete engineering requirements for cross-functional teams.
Strong prioritization skills to manage multiple programs with overlapping deadlines.
Ability to assist in the creation and enforcement of privacy and compliance policies (preferred).
Experience in Privacy-Enhancing Technologies, differential privacy, data minimization, tokenization, or cryptography (preferred).
Python
Go
Java
SQL
Spark
Kafka
Airflow
Cloud Data Warehouses
Data Lakes
Data Pipelines
Microservices
Data Security
Data Observability
Caching
Key/Value Stores
Columnar Storage
Query Federation