Senior Data Engineer - Healthcare AI

About this role

Within the Data Impact & Governance Department, the Senior Data Engineer for Healthcare Artificial Intelligence role supports the design and delivery of data infrastructure that powers advanced artificial intelligence and machine learning solutions in healthcare. This is more than engineering-it's an opportunity to shape the future of cancer care through responsible AI innovation.


Salary Range is Min-$123,000, Mid-$154,000, Max-$185,000, 100% remote within Texas.


The Data Impact & Governance Department focuses on building scalable, secure, and trusted data platforms that enable innovation while maintaining compliance and governance standards. The Senior Data Engineer for Healthcare Artificial Intelligence will architect and optimize critical data systems, the Senior Data Engineer for Healthcare Artificial Intelligence will enable responsible AI adoption, and the Senior Data Engineer for Healthcare Artificial Intelligence will help advance data-driven improvements in cancer care across UT MD Anderson.


The ideal candidate brings advanced technical expertise in data engineering, healthcare data management, and AI/ML enablement. Preferred qualifications include experience with Python, SQL, Spark, Azure services, Infrastructure-as-Code technologies, CI/CD workflows, healthcare data standards such as HL7, FHIR, and DICOM, HIPAA/HITRUST compliance practices, feature and vector store management, leadership experience, and the ability to communicate effectively with both technical and non-technical stakeholders.


Why Us?


At UT MD Anderson, this role provides the opportunity to build the data foundations that support transformative artificial intelligence and machine learning initiatives in healthcare. The position contributes directly to improving patient outcomes through responsible innovation while offering meaningful professional growth, collaboration with multidisciplinary experts, and resources that support long-term career development and w...