Imaging Data Engineer/ArchitectIntuitive.ai • San Francisco, CA, United States

Imaging Data Engineer / Architect

Intuitive.ai • San Francisco, CA, United States

30+ days ago

Job type

Full-time

Job description

About us :

Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers :

Modernization & Migration

Application & Database Modernization
Platform Engineering (IaC / EaC, DevSecOps & SRE)
Cloud Native Engineering, Migration to Cloud, VMware Exit
FinOps

Data & AI / ML

Data (Cloud Native / DataBricks / Snowflake)

Machine Learning, AI / GenAI

Cybersecurity

Infrastructure Security

Application Security

Data Security

AI / Model Security

SDx & Digital Workspace (M365, G-suite)

SDDC, SD-WAN, SDN, NetSec, Wireless / Mobility

Email, Collaboration, Directory Services, Shared Files Services

Intuitive Services :

Professional and Advisory Services

Elastic Engineering Services

Managed Services

Talent Acquisition & Platform Resell Services

About the job :

Title : Imaging Data Engineer / Architect

Start Date : Immediate

# of Positions : 1

Position Type : Contract / Full-Time

Location : San Francisco, CA

Notes :

Imaging data Engineer / architect who understands Radiology and Digital pathology, related clinical data and metadata.

Hands-on experience on above technologies, and with good knowledge in the biomedical imaging, and data pipelines overall.

About the Role

We are seeking a highly skilled Imaging Data Engineer / Architect to join our San Francisco team as a Subject Matter Expert (SME) in radiology and digital pathology. This role will design and manage imaging data pipelines, ensuring seamless integration of clinical data and metadata to support advanced diagnostic and research applications. The ideal candidate will have deep expertise in medical imaging standards, cloud-based data architectures, and healthcare interoperability, contributing to innovative solutions that enhance patient outcomes.

Responsibilities

Design and implement scalable data architectures for radiology and digital pathology imaging data, including DICOM, HL7, and FHIR standards.

Develop and optimize data pipelines to process and store large-scale imaging datasets (e.g., MRI, CT, histopathology slides) and associated metadata.

Collaborate with clinical teams to understand radiology and pathology workflows, ensuring data solutions align with clinical needs.

Ensure data integrity, security, and compliance with healthcare regulations (e.g., HIPAA, GDPR).

Integrate imaging data with AI / ML models for diagnostic and predictive analytics, working closely with data scientists.

Build and maintain metadata schemas to support data discoverability and interoperability across systems.

Provide technical expertise to cross-functional teams, including product managers and software engineers, to drive imaging data strategy.

Conduct performance tuning and optimization of imaging data storage and retrieval systems in cloud environments (e.g., AWS, Google Cloud, Azure).

Document data architectures and processes, ensuring knowledge transfer to internal teams and external partners.

Stay updated on emerging imaging technologies and standards, proposing innovative solutions to enhance data workflows.

Qualifications

Education : Bachelor’s degree in computer science, Biomedical Engineering, or a related field (master’s preferred).

Experience :

5+ years in data engineering or architecture, with at least 3 years focused on medical imaging (radiology and / or digital pathology).

Proven experience with DICOM, HL7, FHIR, and imaging metadata standards (e.g., SNOMED, LOINC).

Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) for imaging data storage and processing.

Technical Skills :

Proficiency in programming languages (e.g., Python, Java, SQL) for data pipeline development.

Expertise in ETL processes, data warehousing, and database management (e.g., Snowflake, BigQuery, PostgreSQL).

Familiarity with AI / ML integration for imaging data analytics.

Knowledge of containerization (e.g., Docker, Kubernetes) for deploying data solutions.

Domain Knowledge :

Deep understanding of radiology and digital pathology workflows, including PACS and LIS systems.

Familiarity with clinical data integration and healthcare interoperability standards.

Soft Skills :

Strong analytical and problem-solving skills to address complex data challenges.

Excellent communication skills to collaborate with clinical and technical stakeholders.

Ability to work independently in a fast-paced environment, with a proactive approach to innovation.

Certifications (preferred) :

AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or equivalent.

Certifications in medical imaging (e.g., CIIP – Certified Imaging Informatics Professional).

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