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

Build analytics that turn consumer sensor signals into actionable research insights for Apple’s next-generation Health and Fitness experiences. In this onsite role in Cupertino, you’ll design and deliver scalable data infrastructure, parallelized pipelines, and validation tooling that help teams transform time-series data into confidence you can measure.

What you’ll do

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

What you bring

• BS degree in Computer Science, Engineering, Data Science, or a related technical field.
• 3+ years of industry experience building and maintaining large-scale data processing or simulation pipelines, or performing large-scale data analysis.
• Strong programming skills in Python, with an emphasis on clean, maintainable, high-performance code.
• 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.

Technologies you’ll use

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

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Educational expense reimbursement for certain formal education related to advancing your career, including tuition
• 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
• Ability to purchase Apple stock at a discount by 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 like 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 and self-motivated, with 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

Location: Cupertino, CA (onsite)
Compensation: USD 150,400 - 225,300 per year