Health Research Data Engineer
Core
Design and build robust data models and scalable data processing pipelines to transform complex health data into reliable, easy-to-use analytical datasets for Apple's health research and product experiences.
Role type
Senior data engineer (health research)
Builds
Production-grade data models, transformation pipelines, and data quality frameworks for health research datasets
Domain
Health technology / Data engineering
Deliverable
production ML models
Required skills
Scala, Java, Python, SQL, distributed processing, data modeling, data quality monitoring
Preferred skills
Airflow, data orchestration, exploratory data analysis, dashboarding
Technologies
Spark, Airflow
Responsibilities
Design and maintain clean, production-grade data models and transformation pipelines; Use Spark to structure large volumes of data; Develop new frameworks and tools for data parsing, processing, and quality; Participate in architecture and code reviews; Implement core data quality metrics and monitoring; Work with subject matter experts to define data quality expectations.
