Data Engineer - Enterprise Data Engineering & Analytics

The University of Texas MD Anderson Cancer Center is hiring a Data Engineer to operationalize data engineering and analytics initiatives, build end-to-end solutions and data pipelines, and deliver production-ready analytics. The role supports integrated enterprise data capabilities while ensuring data governance, security, metadata, and quality standards.

Responsibilities:

• Participate in end-to-end solutions to increase information capabilities and realize data value
• Integrate data governance processes across ingestion, ingress, egress, curation, transformation, and modeling
• Support tracking of data provenance, security, quality, ontology, and visualization outputs
• Collaborate on planning, architecture, design, and build of enterprise data pipelines
• Contribute to existing pipelines managing data from acquisition through consumption
• Develop repeatable solution designs and standardized data models
• Build pipelines for profiling, cleansing, transforming, mastering, and validating data
• Monitor and improve data quality across the Context Engine
• Incorporate metadata management and governance into pipeline development
• Promote automation of repetitive integration and preparation tasks
• Adhere to IS division procedures and UT MD Anderson policies and build standards
• Prepare and maintain documentation for enhancements and new technologies
• Follow change control processes and support audits as needed
• Perform quality control testing and review peer builds for technical accuracy
• Assist with system updates and new releases for assigned analytics modules
• Ensure compliance with regulatory requirements and quality standards
• Collaborate with internal and external stakeholders on system improvements
• Participate in after-hours support and downtime procedures
• Train data scientists, analysts, and end users in data pipeline and preparation techniques
• Assist in creating training plans for Context Engine tools
• Develop curriculum in partnership with system experts and training teams
• Deliver departmental and one-on-one training on analytics deliverables
• Support customer relationships and provide 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 enterprise stakeholders
• Model commitment to excellence and continuous improvement
• Achieve outcomes that exceed expectations for usability and value

Requirements:

• Required: Bachelor's Degree
• Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience
• Required: With preferred degree, no experience required
• May substitute required education with years of related experience on a one to one basis
• Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days
• The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure
• Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related
• Preferred: Experience building out MDM Solutions (Master Data Management), configuring and developing Profisee, strong SQL background including database modeling, scripting
• Preferred: Profisee certification