Data Engineer, iOS — Health Technologies

Apple Inc.; Sunnyvale (CA); On-site; USD 129,300 - 225,300; Full time

Benefits offered by this job

Employee stock plans

Comprehensive benefits

Job summary

Apple Inc. in Sunnyvale, CA is seeking a Data Engineer to design data pipelines and build iOS/macOS apps for data collection and health feature prototyping. You’ll join a cross-functional team of researchers, data scientists, and engineers to ensure scalable, privacy-aware data systems.

The role blends data engineering rigor with Apple-platform app development, working years ahead of product launch cycles. Strong Swift and Python/Scala expertise required, with familiarity in AWS or similar cloud

Qualifications

• BS/MS in Computer Science, Engineering, Informatics, or equivalent.
• 3+ years of experience in Software Development.
• Expert in Python or Scala with large-scale data processing experience (Spark/Hadoop/Dask) and orchestration/containerization (Airflow, Docker, Kubernetes).
• Experience designing ETL workflows and data models across relational and file-system databases (Postgres, SQL, Parquet, S3, Data Lake).
• Experience in Swift and Xcode-based development for iOS/macOS apps.

Responsibilities

• Design, build, and maintain data pipelines and analysis workflows for large datasets.
• Develop and maintain iOS/macOS apps to support data collection and health feature prototyping.
• Collaborate cross-functionally with researchers, data scientists and engineers to support prototyping and research activities.

Skills

Python

Scala

Data analysis

Education

BS/MS in Computer Science or Engineering

Tools

Apache Spark

Hadoop

Airflow

Docker

Kubernetes

Swift

Xcode

SwiftUI

Job description

Data Engineer, iOS — Health Technologies

Health Technologies is a unique cross‑functional organization at Apple that works on inventing, researching, and validating new physiological sensing methods for Apple’s current and future hardware platforms and software portfolio. We have an opportunity for a highly capable Data Engineer to join our multidisciplinary Software Team. You will integrate with our research study leads, data scientists, and engineers to design and support effective data pipelines and analysis workflows. Additionally, you will build and maintain the iOS and macOS apps that collect data and prototype new health features. This is a rare blend of data engineering rigor and Apple‑platform app development, in service of research years ahead of product launch cycles.

Description

Work closely with team members and study staff to design, build, launch, and maintain systems for storing, aggregating, and analyzing large amounts of data. Automate and monitor data ingestion and transformation pipelines, with hooks for QA, auditing, redaction, and compliance checks per data management specifications. Process, troubleshoot, and clean incoming data from human studies; create and maintain databases with existing and incoming clinical data. Architect data models and create tools to harmonize disparate data sources across wired and wireless collection paths. Incorporate and comply with regulations as they pertain to electronic and clinical data and databases. Design, develop, and maintain iOS and macOS apps (in Swift) that support data collection, data transfer, and health feature prototyping from research sensors and hardware. Collaborate cross‑functionally to understand data collection and consumption needs that support prototyping and research activities. Share in our team’s pride and sense of accountability to deliver high‑quality, reliable, robust, secure, privacy‑aware, and well‑designed software, data systems, tools, and frameworks. Enjoy and be comfortable working on new technologies in a research setting, years ahead of product launch cycles.

Minimum Qualifications

• BS/MS in Computer Science, Engineering, Informatics, or equivalent
• 3+ years of experience in Software Development
• Expert in at least one of the following programming languages (Python or Scala), with hands‑on experience in large‑scale data processing using parallel computing (e.g., Apache Spark, Hadoop, Dask) and workflow orchestration and containerization (e.g., Airflow, Docker, Kubernetes)
• Experience designing and implementing custom ETL workflows and data models across relational and file‑system databases (e.g., Postgres, SQL, Parquet, S3, Data Lake), harmonizing disparate data sources
• Experience in Swift and Xcode‑based development, shipping iOS and macOS apps utilizing Apple technologies and frameworks (e.g. SwiftUI, SwiftData/CoreData, Swift Concurrency, Combine, HealthKit, Core Bluetooth)

Preferred Qualifications

• Experience in Health/Wellness, Medical Device, or Biotech research or development, including biomedical sensors/platforms for measuring physiological signals
• Strong software engineering principles, including writing requirements and design documents, seeking and incorporating feedback, conducting code reviews, and championing software quality
• Proficient with modern AI coding agents and assistants (e.g., Claude Code, Cursor, Codex) and skilled at leveraging them to plan, design, develop, and test high‑quality software efficiently
• Proficiency in Python frameworks and libraries for scientific computing (e.g., NumPy, Pandas, SciPy, PyTorch, PyArrow)
• Familiarity with AWS (or similar) cloud services and backend development
• Familiarity with machine learning development pipelines
• Knowledge of communication and data transfer protocols (e.g., TCP/IP, UDP, WebSocket, MQTT, Bluetooth/BLE, Serial/UART)
• Familiarity with working in Unix‑type environments (Linux and macOS)
• Excellent written and verbal communication skills, with demonstrated technical leadership of software or data projects

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 $129,300 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, 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.

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Apple accepts applications to this posting on an ongoing basis.