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. Within Customer Support, this department manages and operationalizes critical data and analytics that drive digital business initiatives across the institution. The Data Engineer assists with gathering business requirements, supporting end-to-end solution delivery, optimizing analytics delivery within the Context Engine Framework, and providing customer support for data and analytics consumers.
The Data Engineer collaborates with Principal and Senior Data Engineers and partners across the institution to improve data accessibility, support analytics production solutions, and promote effective use of enterprise data. The Data Engineer plays a key role in customer support, analytics operations, training, production support, and continuous improvement efforts.
The ideal candidate has a preferred master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience supporting end-to-end data solutions involving EMR data sources, report development, and collaboration with physicians, managers, and organizational leaders. Preferred certifications in Caboodle, Clarity, Ambulatory, Cadence, Cogito, or Inpatient are valued. Candidates should demonstrate strong technical problem-solving skills, customer service orientation, and the ability to support analytics consumers in a collaborative environment.
Minimum $106,500 – Midpoint $133,000 – Maximum $159,500
Work Location: Remote 100% within Texas
 

Why Us?
At UT MD Anderson, the Data Engineer contributes directly to advancing data-driven healthcare, analytics innovation, and enterprise-wide decision-making. This role offers the opportunity to work with modern data platforms, collaborate with multidisciplinary teams, support impactful institutional initiatives, and grow technical and leadership capabilities while benefiting from a flexible remote work environment within Texas.
• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
 

Responsibilities
Data Engineering & End-to-End Solution Delivery • 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.
 

Customer Support & Operational Support • Participate in work intake activities and support EDEA requests aligned with organizational strategy and framework standards. • 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.
 

Standards, Testing & System Maintenance • 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.
 

Education, Training & Customer Engagement • 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.
 

OneIS Values & Collaboration • 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.