Data Engineer - Enterprise Data Engineering & Analytics

UT MD Anderson is a leading cancer center that is seeking a Data Engineer to contribute to their Enterprise Data Engineering & Analytics Department. The Data Engineer will operationalize data engineering and analytics initiatives, build scalable data pipelines, and support data governance and analytics enablement.

Responsibilities:

• Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution
• Build and support data sources and tools across the Context Engine framework through ingestion, ingress, egress, curation, transformation, modeling, and integration activities
• Support data governance processes that track data provenance, security, data quality, and ontology throughout the data lifecycle
• Participate in planning, architecture, analysis, design, and implementation of enterprise data pipelines and solutions
• Partner with Information Systems, Data Offices, Data Governance teams, and other stakeholders to manage institutional data efficiently
• Support existing end-to-end data pipelines from acquisition and integration through analytics consumption
• Build data curation pipelines that include profiling, specification creation, cleansing, transformation, standardization, mastering, harmonization, validation, aggregation, and monitoring
• Incorporate repeatable solution designs and data models into enterprise data solutions
• Integrate metadata management and governance processes into ingestion, curation, and pipeline development activities
• Explore and promote modern tools, technologies, and architectures that automate repeatable data preparation and integration activities
• Create, improve, and operationalize integrated and reusable data pipelines
• Enable faster access to trusted data and maximize data reuse across the enterprise
• Partner with Enterprise Development & Integration and Enterprise Data Science teams to deliver analytics solutions
• Adhere to effective data management practices and promote understanding of data and analytics
• Collaborate creatively with Principal and Senior Data Engineers and enterprise technology teams on solution delivery initiatives
• Adhere to Information Systems standard operating procedures, institutional policies, and data stewardship requirements
• Support institutional data strategy initiatives, including Context Engine objectives
• Participate in development and maintenance of technical documentation for enhancements and new technologies
• Follow documented change control procedures and participate in change control audits when required
• Perform quality control testing and review solutions to ensure technical soundness
• Assist with analytics platform updates and new-release implementation activities
• Adhere to regulatory requirements, quality standards, and industry best practices
• Collaborate with internal and external stakeholders to maintain effective processes and systems
• Participate in after-hours application support and downtime procedures
• Train data scientists, data analysts, end users, and other data consumers on data pipelining and preparation techniques
• Assist with development of training plans for Context Engine tools and related systems
• Partner with training teams and subject matter experts to develop educational curricula
• Provide institutional, departmental, and individual training on Enterprise Data Engineering & Analytics deliverables
• Support customer relationships and collaborate with OneIS to deliver effective technical solutions and service

Requirements:

• Bachelor's Degree
• 2 years Clinical, relevant healthcare information technology, or relevant business experience
• With preferred degree, no experience required
• 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 field
• Experience using Palantir Foundry and Microsoft Fabric
• Epic certification in at least one Clinical, Access, or Revenue module