Senior Data Engineer

Rapid Enterprise; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

RapidAI, a leader in deep clinical AI, seeks a senior data engineer to design, develop, and optimize ETL pipelines for large, medical imaging datasets. You will build scalable data repositories, enable efficient data ingestion, transformation, and secure storage supporting imaging modalities like CT and MRI.

You will implement workflows to extract, standardize, and structure metadata, integrating with PACS or XNAT and other imaging systems.

Qualifications

• 7 to 10 years of data engineering experience in healthcare imaging.
• Expertise in medical imaging standards (DICOM) and metadata processing.
• Familiarity with HL7 and FHIR data workflows.

Responsibilities

• Design, develop, and optimize ETL pipelines for large-scale medical imaging datasets.
• Build and maintain medical imaging data repositories with seamless access and query performance.
• Implement data processing workflows for CT/MRI imaging data to extract and structure metadata.
• Develop scalable solutions integrating with PACS or XNAT and other imaging systems.
• Apply computer vision and ML techniques to analyze images and link imaging data with clinical metadata.

Skills

ETL pipelines

Data engineering

Medical imaging data

PACS/XNAT integration

Computer vision/ML

AWS cloud

DICOM/HL7/FHIR

Query optimization

Tools

AWS

XNAT

PACS

DynamoDB

Job description

RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision‑making, patient outcomes, and health‑system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke‑treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.

What you will do:

Design, develop, and optimize ETL pipelines for large-scale medical imaging datasets,ensuring efficient data ingestion, transformation, and storage.

Build and maintain medical imaging data repositories, ensuring seamless access,

query optimization, and compliance with healthcare regulations.

Implement data processing workflows for clinical imaging data (CT, MRI) to extract,

standardize, and structure metadata.

Develop scalable solutions for medical imaging data engineering, integrating with

PACS or XNAT, and other imaging systems.

Apply computer vision and machine learning techniques to analyze and process

medical images for healthcare applications, linking imaging data with associated

clinical metadata.

Extract and standardize image metadata (DICOM headers, HL7, FHIR) for enhanced

image classification and retrieval.

Develop automated image labeling and segmentation workflows using metadata

driven insights.

Optimize data storage and retrieval on AWS (S3, Lambda, EC2, DynamoDB, Redshift) for

high-performance clinical applications.

What you will bring:

7 to 10 years of experience in data engineering with a focus on healthcare imaging and

medical imaging data.

Expertise in medical imaging standards (preferably DICOM, but familiarity with other

formats is valuable) and clinical metadata processing.

RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.