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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. The Senior Data Engineer plays a pivotal role in operationalizing critical data and analytics that support digital business initiatives, with a strong focus on data analytics and delivery through the Context Engine. This role contributes to managing business requirements, planning end-to-end analytics solutions, and optimizing delivery to meet institutional needs.
UT MD Anderson is a leading institution focused on cancer care, research, education, and prevention. The Senior Data Engineer collaborates across Information Services and institutional leadership to enable secure, governed, and high-quality data solutions. The Senior Data Engineer partners closely with Enterprise Data Engineering & Analytics, Enterprise Development & Integration, and Enterprise Data Science teams to design, build, and deliver end-to-end analytics solutions that improve time-to-solution and data reuse across the enterprise.
The ideal candidate for the Senior Data Engineer role will have a strong background in data engineering and analytics delivery within complex environments, preferably in healthcare or academic settings. A bachelor’s degree is required, with a master’s degree in business analytics, computer science, information technology, data science, or a related field preferred, along with significant experience designing and delivering governed data pipelines, advanced analytics solutions, and enterprise reporting using modern data platforms and tools.
Minimum salary $123,000 – Midpoint $154,000 – Maximum $185,000 on a 40-hour work week. Work location: Remote within Texas only.
Why Us?
The Senior Data Engineer role offers the opportunity to directly support UT MD Anderson’s mission by enabling high-impact data and analytics solutions that inform care, research, and operational excellence. This role provides exposure to enterprise-scale data platforms, cross-functional collaboration, and opportunities for professional growth while supporting a sustainable work-life balance in a mission-driven environment. • 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 and End-to-End Solution Delivery
• 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
• 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
Analytics Delivery and Stakeholder Engagement
• 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
• 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
Standards, Testing, and System Maintenance
• 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
• 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
Education, Training, and Knowledge Transfer
• 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
• 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
OneIS Values and Collaboration
• 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
• 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
EDUCATION
- Required: Bachelor's Degree
- Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.
WORK EXPERIENCE
- Required: 5 years Relevant information technology experience. or
- Required: 3 years Relevant experience required with preferred degree.
- May substitute required education with years of related experience on a one to one basis.
- Preferred: 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.
LICENSES AND CERTIFICATIONS
- Required: 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
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
