Data Engineer - Health Sensing

Apple Inc.; Sunnyvale (CA); On-site; USD 166,560 - 277,600; Full time

Job summary

Apple Inc. in Sunnyvale is seeking a data engineer to build scalable data infrastructure powering health research. The role focuses on developing high-performance data pipelines and processing systems to support large-scale health studies and analytics.

You will design ETL pipelines with Spark, work with researchers and product teams, and contribute to a health data platform across studies, driving standardization and reusability.

Qualifications

• BS degree in CS, Engineering, Data Science or related field.
• 3+ years building and maintaining data pipelines or distributed data systems.
• Proficiency in Python and writing clean, high-performance code.
• Familiarity with SQL for querying and transforming data.
• Hands-on experience with distributed computing frameworks like Apache Spark.
• Experience with ETL development, data modeling, and data transformation workflows.

Responsibilities

• Design and develop scalable, parallelized data systems for time-series health data.
• Implement robust ETL pipelines using Spark to ingest and transform data formats.
• Collaborate with study stakeholders to gather requirements and support study design.
• Build tools and dashboards to visualize health data and support analysis.
• Work with cross‑functional teams to support design, testing, and deployment.

Skills

Python

SQL

Spark

ETL development

Education

BS in Computer Science/Engineering/Data Science

Tools

Docker

Kubernetes

Airflow

Job description

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support large-scale health studies, clinical validations, and advanced analytics. Working closely with researchers, clinicians, and product teams, we ensure health data is accurate, accessible, and actionable — enabling science and product innovation that can improve lives.

Description

• We are looking for a passionate and experienced Data Engineer to join our team focused on powering cutting-edge health research through scalable and reliable data systems.
• Design and develop scalable, parallelized data systems to process complex, time-series health data captured from consumer-grade sensors.
• Implement robust ETL pipelines using distributed computing frameworks such as Apache Spark to ingest and transform binary and proprietary data formats.
• Collaborate with study stakeholders to gather requirements and contribute to the study design process, ensuring data architecture supports evolving research needs.
• Build tools and dashboards to visualize health data and support data exploration, analysis, and research insights.
• Work closely with cross‑functional teams including Software, Algorithms, and Quality Engineering to support design, integration, testing, and deployment of health data solutions.
• Own and evolve data architecture by driving standardization and reusability across studies, contributing to the development of a company‑wide health data platform.

Minimum Qualifications

• BS degree in Computer Science, Engineering, Data Science, or a related technical field.
• Minimum of 3 years relevant industry experience building and maintaining data pipelines or distributed data systems.
• Proficiency in Python and strong programming skills with a focus on writing clean, maintainable, and high-performance code.
• Familiarity in SQL for querying, transforming, and analyzing structured data.
• Hands‑on experience with distributed computing frameworks like Apache Spark.
• Experience with ETL development, data modeling, and data transformation workflows.

Preferred Qualifications

• Experience working with sensor data, time‑series data, or healthcare datasets.
• Experience working in cloud‑based environments (e.g., AWS, GCP, or Azure) and with containerization tools like Docker and Kubernetes.
• Familiarity with job orchestration tools such as Apache Airflow or similar workflow schedulers.
• Comfort working in Linux‑based environments, including scripting, system navigation, and basic troubleshooting.
• Exposure to clinical studies, FDA validation processes, or working in regulated health environments.
• Strong communication and collaboration skills; ability to work cross‑functionally with technical and non‑technical partners.

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 $277,600, 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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as 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.

Apple accepts applications to this posting on an ongoing basis.