About The Position
As a Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team, you will help lead the architecture and development of DS&A's centralized visualization platform — defining how data is presented, experienced, and interacted with across the entire organization. You will bring engineering rigor and technical vision to the presentation layer of DS&A's data stack, building high-performance, reusable front-end capabilities that power consistent reporting experiences at scale. You'll define component architecture standards, own the design system integration, and build the reusable primitives that DS&A engineers and analysts rely on to deliver insights to Apple's most senior leadership. You'll partner closely with platform engineers, data engineers, design stakeholders, and analytics consumers across the org to translate complex data requirements into intuitive, scalable front-end capabilities. Over time, you'll influence how DS&A thinks about the intersection of data, design, and AI — as the platform evolves to incorporate intelligent, context-aware visualization driven by our emerging AI capabilities.
Requirements
- 8+ years of experience in frontend software engineering with a strong focus on component-based architecture and design systems
- Expert proficiency in React and modern JavaScript/TypeScript — including state management, performance optimization, and component lifecycle
- Demonstrated experience building and maintaining shared UI component libraries or design systems at scale
- Strong proficiency with data visualization libraries (D3.js, Vega, Observable Plot, or similar) and experience rendering large, complex datasets in the browser
- Experience designing and consuming RESTful and/or GraphQL APIs in data-heavy applications
- Track record of owning the full frontend development lifecycle — from architecture through production — with high reliability and performance standards
- Strong communication skills with the ability to bridge design, data, and engineering teams — translating complex data requirements into intuitive front-end solutions
- BS in Computer Science, Engineering, or related field, or equivalent professional experience
Nice To Haves
- Experience building visualization or analytics platforms in a data-intensive enterprise environment
- Familiarity with AI/ML concepts and experience integrating generative AI or LLM-powered features into front-end applications
- Experience with accessibility standards (WCAG) and building inclusive, enterprise-grade UI
- Understanding of data pipeline concepts and experience working closely with backend/data engineering teams
- MS in Computer Science, Engineering, or related field
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
