Senior Data Engineer - Healthcare AI

UT MD Anderson is a leader in cancer care, and they are seeking a Senior Data Engineer in Healthcare AI to architect and build data infrastructure for AI and machine learning solutions. This role involves designing data pipelines, ensuring data quality, and collaborating with various stakeholders to enhance patient outcomes through responsible AI innovation.

Responsibilities:

• Design, implement, and maintain batch and streaming pipelines for ML training, deployment, inference, and monitoring using Azure, Dataiku, and open-source tools
• Deploy and manage raw data, feature, and vector stores to enable fast, reliable access for production AI/ML systems
• Use Infrastructure-as-Code (IaC) and CI/CD workflows to automate deployments, improving reliability and efficiency
• Implement validation, lineage, anomaly detection, and drift monitoring to deliver accurate, compliant data
• Enforce encryption, RBAC, tokenization, and audit logging to ensure HIPAA/HITRUST compliance while enabling scalable AI operations
• Partner with data engineers, ML engineers, data scientists, and clinical stakeholders to deliver scalable AI solutions
• Mentor team members and drive best practices in data engineering
• Manage pipelines and infrastructure end-to-end, including monitoring, alerting, incident management, and continuous improvement
• Perform additional tasks as assigned to support departmental goals

Requirements:

• Bachelor's degree
• Five years of relevant information technology experience. May substitute required education with years of related experience on a one-to-one basis. With preferred degree, three years of experience required
• Master's Level Degree
• Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 days of date of entry into job
• Azure Data Engineer Associate (DP-203)
• EPIC Cogito Certification
• HIPAA Privacy & Security Certification
• HL7/FHIR Certification
• Healthcare experience in AI/ML space is a must
• Two years of industry experience in a Senior Data Scientist role
• Knowledge of data privacy, security, and HIPAA compliance in healthcare