Data Engineer - Enterprise Data Engineering & Analytics

Context: UT MD Anderson Cancer Center is hiring a Data Engineer to support Enterprise Data Engineering & Analytics (EDEA) within Customer Support, working under the Context Engine Framework.

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 within the Context Engine Framework
• Integrate data governance processes covering data provenance, security, data quality, and ontology throughout the data lifecycle
• Enable analytics operations and support enterprise data visualization and insight generation
• Contribute to 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
• Support work intake activities and EDEA requests aligned to 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 with clear procedures, expectations, delivery timelines, and status updates
• Participate in after-hours application support and downtime procedures
• Support issue resolution efforts to ensure service continuity for analytic solutions
• Adhere to IS division standard operating procedures and institutional policies related to data governance and Context Engine standards
• Prepare documentation for enhancements, implementations, and new technologies
• Follow documented change control processes and participate in change control audits when needed
• Perform quality control testing and review peer solutions for technical accuracy and quality
• Support 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 in 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 deliver effective technical solutions and service
• Perform other duties as assigned

Requirements

• Required: Bachelor’s Degree
• Required: 2 years clinical, relevant healthcare information technology, or relevant business experience
• Preferred: Master’s Degree in Business Analytics, Computer Science, Information Technology, Data Science, or related
• Required/Education substitution: With preferred degree, no experience required; may substitute required education with years of related experience on a one-to-one basis
• Preferred: End-to-end solution delivery including build-out of data sources of the EMR system
• Preferred: Experience communicating and problem solving with doctors, managers, and/or leaders
• Preferred: Experience building reports in EMR
• Preferred Certifications: Caboodle, Clarity, Ambulatory, Cadence, Cogito, Inpatient
• Required: EPIC certification and must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 Days

Technologies

• Context Engine Framework
• Context Engine Tools suite
• EMR
• Epic
• OneIS
• Caboodle
• Clarity
• Ambulatory
• Cadence
• Cogito
• Inpatient

Benefits

• Employer-paid medical coverage starting day one for employees working 30+ hours/week; optional group dental, vision, life, AD&D, and disability insurance
• PTO and Extended Illness Bank accruals, plus paid holidays, wellness, childcare, and other leave options
• Tuition Assistance Program after six months of service; access to 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
• This position may be responsible for maintaining the security and integrity of critical infrastructure and may require routine reviews and screening

Work Location

• Remote 100% within Texas
• Work Location: Remote (within Texas only)

Pay / Employment Details

• Minimum: $106,500
• Midpoint: $133,000
• Maximum: $159,500 (per year)
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• FLSA: Exempt and not eligible for overtime pay
• Fund Type: Hard
• Pivotal Position: Yes
• Referral Bonus Available?: Yes
• Relocation Assistance Available?: Yes
• #LI-Remote

Why UT MD Anderson

• Contribute directly to advancing data-driven healthcare, analytics innovation, and enterprise-wide decision-making
• Work with modern data platforms, collaborate with multidisciplinary teams, and support impactful institutional initiatives
• Grow technical and leadership capabilities while benefiting from a flexible remote work environment within Texas