Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity

Apple is building next-generation Health and Fitness experiences, turning consumer sensor time-series into actionable research insights. In this role, you will design and deliver scalable data infrastructure and analytics that help validate feature performance, improve data quality, and support cross-functional product development.

This position is onsite in Cupertino, CA and includes a salary range of USD 150,400 - 225,300 per year.

What You’ll Do

• Design and develop scalable, parallelized data pipelines to process and transform complex time-series health data from consumer-grade sensors.
• Build tools and dashboards for visualization, data exploration, analysis, and research insight generation.
• Partner with study stakeholders to gather requirements and contribute to study design, tooling development, and data quality monitoring processes.
• Design and run analytics to validate algorithm simulation outputs against ground truth, including building automated QA metrics to track feature performance over time.
• Collaborate with cross-functional teams, including Software, Algorithms, and EPM, to support health software design, integration, testing, and deployment.

Minimum Qualifications

• BS degree in Computer Science, Engineering, Data Science, or a related technical field.
• Minimum 3 years of industry experience building and maintaining large-scale data processing or simulation pipelines, or performing large-scale data analysis.
• Strong Python skills, focused on clean, maintainable, high-performance code.
• Working familiarity with SQL for querying, transforming, and analyzing structured data.
• Hands-on experience with distributed computing frameworks such as Apache Spark.
• Comfort leveraging AI tools to accelerate problem-solving and development.

Relevant Skills and Tools

• Python, SQL, Apache Spark
• AWS, GCP, Azure
• Docker, Kubernetes
• Linux
• iOS, C++

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career
• Discretionary bonuses or commission payments, as well as relocation (discretionary; eligibility may apply)
• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan

Preferred Qualifications

• Applied machine learning experience, including building models on large datasets
• Experience working with sensor data, time-series data, or healthcare datasets
• Experience in cloud environments (AWS, GCP, or Azure) with containerization tools such as Docker and Kubernetes
• Comfort working in Linux environments, including scripting, navigation, and basic troubleshooting
• Exposure to clinical studies, FDA validation processes, or regulated health environments
• Experience building iOS apps; familiarity with C++ is a plus
• Self-directed work style, including experience producing architecture and design documents
• Strong communication and cross-functional collaboration skills, including translating requirements from technical and non-technical partners into practical engineering tasks