Data Engineer
Core
Building, modernizing, and scaling data infrastructure and pipelines for large-scale medical imaging datasets to support AI product development and clinical research.
Role type
Data Engineer (Medical Imaging)
Builds
Scalable data pipelines, storage tooling, and curated datasets for AI training and clinical studies.
Domain
Healthcare / Medical Imaging / AI
Deliverable
production ML models | infrastructure
Required skills
Python, Bash, SQL, Linux, data modeling, medical imaging standards (DICOM), large-scale dataset management
Preferred skills
Regulated healthcare environment experience, data privacy regulations (GDPR, MDR, FDA), multi-modal imaging data (mammography, tomosynthesis, MRI)
Technologies
Python, Bash, SQL, Linux, DICOM
Responsibilities
Design and maintain scalable data pipelines for medical imaging; manage end-to-end data lifecycle including acquisition, transfer, annotation, and archival; modernize legacy datasets; ensure secure and compliant data handling; build tooling for data storage and visualization; support AI training and clinical studies with curated datasets.
Seniority
Mid-level, hands-on IC
