Senior Data Engineer

The University of Texas MD Anderson Cancer Center is seeking a Senior Data Engineer to join the Enterprise Data Engineering & Analytics department. This role is pivotal in operationalizing data and analytics that support digital business initiatives and involves managing business requirements, planning analytics solutions, and optimizing delivery to meet institutional needs.

Responsibilities:

• Participate in end-to-end solution delivery to increase information capabilities and realize data value across the institution
• Build and integrate data sources and tools across the Context Engine framework, including ingestion, ingress, egress, curation, pipelines, transformation, and modeling
• Incorporate integrated data governance processes tracking data provenance, security, data quality, ontology, visualization, and insights
• Lead and contribute to data pipelines from acquisition through integration to consumption for specific use cases
• Embed data governance and metadata management into ingestion, curation, and pipeline development efforts
• Promote data analytics and delivery efforts and manage relationships with stakeholders across the organization
• Proactively communicate with stakeholders and prioritize analytics delivery work
• Drive data requirements to ensure solutions meet true business needs, not only requested outputs
• Implement complex analytics deliverables such as analyses, reports, metrics, extracts, visualizations, projects, and dashboards
• Perform complex problem solving, data analysis, and testing using SQL and NoSQL technologies
• Adhere to IS standard operating procedures, institutional policies, and build standards with data stewardship and governance oversight
• Prepare documentation for enhancements and new technology implementations
• Follow documented change control processes and participate in change control audits
• Perform quality control, testing, and peer review of analytics builds
• Assist with analytics system updates, new releases, after-hours support, and downtime procedures
• Train data scientists, analysts, end users, and data consumers on data pipelining and preparation techniques
• Coordinate and establish training plans for Context Engine tools and develop curricula with training partners
• Provide institutional, department, and one-on-one training on Enterprise Data Engineering & Analytics deliverables
• Coach and mentor less experienced team members and transfer technical knowledge
• Support innovative, quality, and sustainable IT solutions and services
• Promote trust, respect, partnership, and honesty with customers and colleagues
• Build productive, collaborative relationships across OneIS and the institution
• Model a commitment to excellence and continuous improvement

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 Microsoft Fabric infrastructure, including its compute, storage, and orchestration layers
• Experience in Power BI, MicroStrategy, and Tableau
• Advanced data engineering with PySpark and Medallion Architecture
• Creating data pipelines in healthcare academic environment