Data Engineer - Enterprise Data Engineering & Analytics

The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to support the Enterprise Data Engineering & Analytics (EDEA) Department. The Data Engineer will assist with gathering business requirements, supporting end-to-end solution delivery, and optimizing analytics delivery while collaborating with various teams to improve data accessibility and support analytics production solutions.

Responsibilities:

• Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution
• Support data ingestion, ingress, egress, curation, pipeline development, data transformation, and data modeling activities within the Context Engine Framework
• Integrate data governance processes that track data provenance, security, data quality, and ontology throughout the data lifecycle
• Support data visualization and insight generation through enterprise analytics solutions
• Participate in the team support model for analytics security, change control, application database maintenance, and customer queue monitoring
• Participate in scrum ceremonies and sprint activities supporting product owners and solution delivery initiatives
• Handle routine reporting requests and support analytics consumers across the institution
• Troubleshoot incidents, break fixes, and production issues while coordinating with system technical support teams
• Respond to customer requests promptly and communicate procedures, expectations, delivery timelines, and status updates
• Participate in after-hours application support and downtime procedures
• Support issue resolution efforts and ensure service continuity of analytic solutions
• Adhere to IS division standard operating procedures and institutional policies supporting data governance and Context Engine standards
• Participate in preparing documentation for enhancements, implementations, and new technologies
• Follow documented change control processes and participate in change control audits as needed
• Perform quality control testing and review solutions developed by peers to ensure technical accuracy and quality
• Assist with analytics system updates and new release activities for assigned modules
• Support regulatory compliance, quality standards, best practices, and stakeholder collaboration efforts
• Train data scientists, data analysts, end users, and data consumers on data pipelining and data preparation techniques
• Assist in establishing training plans and curricula for systems within the Context Engine Tools suite
• Develop training materials in partnership with the training team and system experts
• Provide institutional, departmental, and one-on-one training on EDEA deliverables
• Support liaison relationships with customers and OneIS to provide effective technical solutions and service
• Provide innovative, quality, and sustainable information technology solutions and services
• Promote trust, respect, support, integrity, and honesty with customers and colleagues
• Build productive, collaborative, and trusted partnerships across teams and stakeholders
• Demonstrate commitment to excellence, continuous improvement, usability, and value-driven outcomes
• Perform other duties as assigned

Requirements:

• Bachelor's Degree
• 2 years Clinical, relevant healthcare information technology, or relevant business experience
• 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 in Business Analytics, Computer Science, Information Technology, Data Science, or related
• Experience with end-to-end solution delivery that includes the build-out of data sources of the EMR system
• Experience supporting clinical operational reporting and analytics initiatives
• Experience with Epic Cogito tools and reporting workflows
• Preferred Certifications: Caboodle, Clarity, Ambulatory, Cadence, Cogito, Inpatient