Data Engineer
About Anatomic
At Anatomic, we’re a health-tech and medical AI data infrastructure company backed by Dr.
Morepen and Y Combinator. We build the clinical network layer that gives medical AI researchers secure, compliant access to multimodal clinical data, including 4K surgical videos, medical imaging (X-ray, CT, MRI) and clinical records.
We’re looking for a Data Engineer to build the pipelines that move clinical data from hospitals into
AI-ready datasets, securely and at scale.
What you’ll do
- Build and maintain pipelines that ingest data from hospital systems (HIS/EMR, PACS,
video sources)
- Design storage and processing for large multimodal data (4K video, DICOM imaging,
structured records)
- Build de-identification,
consent-tracking and audit layers into every pipeline
- Own data quality, monitoring and reliability
- Work with researchers to package datasets for medical AI teams
What you bring
- 3+ years in data engineering
- Strong Python and SQL
- Experience with cloud platforms (AWS, GCP or Azure) and tools such as Spark, Airflow or
Kafka
- Experience handling large files and unstructured data at scale.
Positive to have: HL7/FHIR, DICOM, healthcare data, or security and compliance work.
How to apply
Send your CV and GitHub or portfolio link to
[email protected]
📌 Data Engineer (Hyderabad)
🏢 Dr. Morepen Home
📍 Hyderabad