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 Apples 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.n

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

BS/MS in Computer Science Engineering Informatics or equivalentn3 years of experience in Software DevelopmentnExpert 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)nExperience 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 sourcesnExperience 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)n

Experience in Health/Wellness Medical Device or Biotech research or development including biomedical sensors/platforms for measuring physiological signalsnStrong software engineering principles including writing requirements and design documents seeking and incorporating feedback conducting code reviews and championing software qualitynProficient 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 efficientlynProficiency in Python frameworks and libraries for scientific computing (e.g. NumPy Pandas SciPy PyTorch PyArrow)nFamiliarity with AWS (or similar) cloud services and backend developmentnFamiliarity with machine learning development pipelinesnKnowledge of communication and data transfer protocols (e.g. TCP/IP UDP WebSocket MQTT Bluetooth/BLE Serial/UART)nFamiliarity with working in Unix-type environments (Linux and macOS)nExcellent written and verbal communication skills with demonstrated technical leadership of software or data projectsn