Senior Data Engineer

The University of Texas MD Anderson Cancer Center is a leading institution in healthcare and research, and they are seeking a Senior Data Engineer to enhance enterprise data and analytics capabilities. This role involves delivering high-quality data solutions that support clinical, operational, and research decision-making while collaborating with various teams across the organization.

Responsibilities:

• Participate in end-to-end solution delivery across the Context Engine framework to increase enterprise information capabilities
• Build and enhance data sources, pipelines, transformations, and models with integrated data governance processes
• Incorporate data ingestion, curation, ingress, egress, and metadata management practices
• Design and execute SQL and NoSQL queries for analysis, testing, and problem solving
• Collaborate with other data engineers on integration and institutional data management strategies
• Gather and refine data requirements to ensure analytics deliverables meet true business needs
• Deliver analytics outputs including reports, metrics, extracts, visualizations, dashboards, and projects
• Promote data analytics and delivery efforts across institutional stakeholders
• Partner with Enterprise Development & Integration and Enterprise Data Science teams on end-to-end solutions
• Adhere to IS division standard operating procedures and MD Anderson policies
• Support data steward and governance oversight sign-off for institutional data strategy compliance
• Prepare technical documentation for enhancements and new technologies
• Perform quality control, testing, and peer review of analytics builds
• Support system updates, releases, change control, and after-hours application support
• Train data scientists, analysts, and data consumers on data pipelining and preparation techniques
• Assist with development of training plans and curricula for Context Engine tools
• Provide institutional, department, and one-on-one training on analytics deliverables
• Support liaison relationships with customers and OneIS partners
• Model integrity, trust, partnership, and quality in all interactions
• Build productive and collaborative relationships with customers and colleagues
• Strive for continuous improvement and excellence in outcomes and usability

Requirements:

• Bachelor's Degree
• 5 years Relevant information technology experience
• 3 years Relevant experience required with preferred degree
• EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic of date of entry into job within 180 Days
• Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related
• Experience with data modeling and back end for Epic reporting
• cloud base data pipeline and development
• building custom objects and custom data loads/load packages in Clarity and Caboodle
• experience with Microsoft Fabric and building out data engineering pipelines in Fabric using Python, PySpark and related technologies
• healthcare experience including hospital workflows