Principal Data Engineer

The University of Texas MD Anderson Cancer Center is seeking a Principal Data Engineer to join the Enterprise Data Engineering & Analytics Department. The role involves leading complex data engineering efforts, ensuring alignment with enterprise standards, and delivering impactful analytics solutions to support clinical and operational excellence.

Responsibilities:

• Lead, communicate, and participate in end-to-end solution delivery across the Context Engine framework
• Integrate data governance processes across ingestion, ingress, egress, curation, transformation, modeling, and visualization
• Build and manage data pipelines supporting data flow from acquisition to consumption for defined use cases
• Incorporate metadata management, data provenance, security, and data quality processes into pipelines
• Manage stakeholder relationships and proactively communicate priorities and delivery timelines
• Drive data requirements to ensure solutions meet business needs beyond initial requests
• Implement complex analytics deliverables including reports, metrics, dashboards, extracts, and visualizations
• Perform complex data analysis, testing, and problem solving using SQL and NoSQL technologies
• Collaborate with data engineers to support enterprise integration and institutional data strategies
• Manage adherence to standard operating procedures and institutional policies for data and analytics delivery
• Ensure build standards are met, including governance oversight and approvals
• Prepare documentation for enhancements and new technology implementations
• Execute and monitor change control processes, including audits where applicable
• Perform and oversee quality control, testing, and peer review of analytics solutions
• Manage system updates and releases for assigned analytics modules
• Ensure compliance with regulatory requirements, quality standards, and best practices
• Participate in after-hours application support and downtime procedures
• Lead and train stakeholders on data pipelining and data preparation techniques
• Develop and implement training plans for Context Engine tools and systems
• Deliver institutional, departmental, and one-on-one training sessions
• Mentor and guide less experienced team members through coaching and knowledge transfer
• Serve as liaison with customers and OneIS to deliver effective technical solutions
• Deliver innovative, sustainable IT solutions aligned with organizational goals
• Promote trust, respect, and collaboration with customers and team members
• Build productive partnerships across teams and stakeholders
• Demonstrate commitment to excellence and continuous improvement

Requirements:

• Bachelor's Degree
• 7 years Relevant information technology experience
• 5 years Experience with preferred degree
• EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 Days
• Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related
• Ten years of Epic experience
• 5 years of clinical experience
• Expertise in reporting on Unplanned Readmissions
• Expert in SAP Web Intelligence, Power BI, and Epic tools; Radar Dashboards and Slicer Dicer
• Caboodle Data Model Certification
• Clarity Data Model-Clinical Certification