Data Engineer, iOS - Health Technologies

Apple Inc.
San Diego, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$122,700.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon S3 Apple IOS Apple Mac Systems Apple Xcode Big Data Bluetooth Unix Clinical Data Repository Software Quality
+44 more
Code Review Databases Data Transmissions Information Engineering Extract Transform Load (ETL) Data Systems Cursor (Graphical User Interface Elements) Software Design Documents Linux Apache Hadoop Python (Programming Language) PostgreSQL Machine Learning Message Queuing Telemetry Transport (MQTT) NumPy Cloud Services Scientific Computating SciPy Software Engineering SQL Databases TCP/IP Universal Asynchronous Receiver/Transmitter WebSocket Workflow Management Systems Parquet Data Ingestion Pytorch Swiftui Delivery Pipeline Concurrency Apache Spark Parallel Computation Backend Pandas Containerization Data Lakes Core Data Kubernetes Information Technology Dask Data Management Data Pipelines Docker Programming Languages

Job description

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., 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.

Requirements

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

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)

Benefits & conditions

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 $122,700 and $214,300, 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

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