JobsData & Analytics Engineer, Health & Fitness, Sensing & Connectivity
Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity
AppleData & Analytics Engineer, Health & Fitness, Sensing & Connectivity
AppleLocation
Cupertino, CA
Type
Full-time
Posted
8/8/2026
Compensation
Not listed
Undergraduate with 2+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025Job description
The Applied Sensing & Health team at Apple focuses on transforming raw motion data from devices into health insights. As a member of this dynamic group, you will design and build the data infrastructure that supports Health and Fitness features. Your work will involve creating scalable data pipelines and tools that enhance user experience and promote fitness goals. This role emphasizes collaboration with cross-functional teams to ensure high-quality data and effective software implementation.
Requirements
- BS degree in Computer Science, Engineering, Data Science, or a related technical field.
- Minimum of 3 years of industry experience building and maintaining large-scale data processing or simulation pipelines.
- Strong programming skills in Python, with a focus on writing clean, maintainable, and high-performance code.
- Familiarity with SQL for querying, transforming, and analyzing structured data.
- Hands-on experience with distributed computing frameworks such as Apache Spark.
- 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.
- Self-directed and self-motivated, with experience producing architecture and design documents.
- Strong communication and cross-functional collaboration skills.
Responsibilities
- Design and develop scalable, parallelized data pipelines to process and transform complex, time-series health data.
- Build tools and dashboards to visualize data and support data exploration, analysis, and research insights.
- Collaborate with study stakeholders to gather requirements and contribute to study design and data quality monitoring processes.
- Design and run analytics to validate algorithm simulation output against ground truth.
- Build automated QA metrics to track feature performance over time.
- Work closely with cross-functional teams including Software, Algorithms, and EPM to support design, integration, testing, and deployment of health software.
Benefits
- Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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