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

Cupertino, California, United States Software and Services Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.The Applied Sensing & Health team builds the pipelines and infrastructure that turn raw motion data from Apple devices into insights that help users improve their health. Every time someone exercises or moves with their device, engineers and scientists on this team are behind the systems that capture, validate, and make sense of that data at scale. As a member of our dynamic group, you'll build and monitor the data pipelines that power our products, run large-scale analyses that uncover how people actually use and benefit from them, and help shape upcoming products that delight and inspire millions of Apple customers every day. Join our team and enrich lives by shipping software and data systems that motivate fitness goals, improve health, and enhance the way customers interact with our products. Description In this role, you will design and build the data infrastructure that powers our next generation of Health and Fitness features — from ingesting raw sensor data to the platforms and tools that turn it into research insight. This includes architecting scalable data pipelines, ensuring user study data quality, gathering algorithm performance insights, and validating the software implementation. Key responsibilities of this role are:Design and develop scalable, parallelized data pipelines to process and transform complex, time-series health data captured from consumer-grade sensorsBuild tools and dashboards to visualize data and support data exploration, analysis, and research insights.Collaborate with study stakeholders to gather requirements and contribute to the study design, tooling development, and data quality monitoring processes.Design and run analytics to validate algorithm simulation output against ground truth, and build automated QA metrics to track feature performance over timeWork closely with cross-functional teams including Software, Algorithms, and EPM to support design, integration, testing, and deployment of the health software. Responsibilities 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 data exploration, analysis, and research insights. Collaborate with study stakeholders to gather requirements and contribute to the study design, tooling development, and data quality monitoring processes. Design and run analytics to validate algorithm simulation output against ground truth, and 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 the health software. Minimum Qualifications 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, or performing large-scale data analysis. 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. Comfort leveraging AI tools to accelerate problem-solving and development. 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 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage retirement benefits a range of discounted products and free services reimbursement for certain educational expenses — including tuition discretionary bonuses or commission payments relocation Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants. #J-18808-Ljbffr Apple Inc.