The Data Engineer role is a key contributor within the Enterprise Data Engineering & Analytics Department, responsible for supporting critical digital initiatives through the design and delivery of scalable data solutions. The Data Engineer develops and maintains end-to-end data pipelines within the Context Engine, working collaboratively with cross-functional teams to ensure high-quality data integration and analytics delivery. The Data Engineer plays an essential role in accelerating access to trusted data and enabling actionable insights that support institutional priorities.
UT MD Anderson is a leading institution focused on cancer care, research, education, and prevention. The Data Engineer at UT MD Anderson contributes to advancing innovative data strategies that support clinical, operational, and research excellence, ensuring data is transformed into meaningful, secure, and reliable assets across the organization.
The ideal candidate will have a strong foundation in data engineering principles with a preferred Master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field. Experience building end-to-end data pipelines and familiarity with tools such as Power BI, Microsoft Fabric, and Palantir Foundry are highly desirable. Candidates with healthcare IT or clinical data experience and certifications such as Caboodle will stand out.
Minimum $106,500 - Midpoint $133,000 - Maximum $159,500
Work Location: Remote 100% within Texas
Why Us?
Working as a Data Engineer at UT MD Anderson provides the opportunity to directly impact innovative healthcare data initiatives that improve patient outcomes and accelerate research. This role offers strong collaboration with senior technical teams, continuous learning, and exposure to modern data platforms while supporting a mission-driven organization that values excellence and sustainable work-life balance.
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 to enhance information capabilities and data value across the institution
Support data ingestion, ingress, egress, curation, transformation, modeling, and visualization within the Context Engine framework
Integrate data governance processes ensuring tracking of provenance, data security, quality, and ontology
Contribute to planning, architecture, analysis, design, and build of data pipelines in collaboration with IS, Data Offices, and governance teams
Support pipelines across all stages from data acquisition to consumption for use-case-driven analytics
Develop repeatable solution designs and data models supporting scalable analytics deliverables
Build data curation pipelines including profiling, cleansing, transforming, standardizing, harmonizing, validating, and aggregating data
Monitor and maintain data quality across enterprise systems
Incorporate metadata management and governance standards into all data processes
Promote modern tools, automation, and architectures to reduce manual and error-prone data integration tasks
Standards, Testing & System Maintenance:
Adhere to IS division procedures and institutional data strategy standards including governance oversight
Support documentation for enhancements and new technologies
Follow change control processes and participate in change control audits
Perform quality control, testing, and peer reviews of data solutions
Assist in managing analytics system updates and new releases
Ensure compliance with regulatory requirements, quality standards, and best practices
Collaborate with internal and external stakeholders for solution validation
Participate in after-hours support and downtime procedures
Education & Training:
Train data scientists, analysts, and end users on data pipeline utilization and preparation techniques
Assist in developing training plans for Context Engine tools in partnership with training teams
Deliver institutional, departmental, and individual training on data engineering deliverables
Support the development of training curricula with system experts
Collaboration & Customer Support:
Build strong partnerships with Enterprise Development & Integration and Data Science teams
Support liaison relationships across departments and IS teams
Deliver effective technical solutions aligned with customer needs
Provide responsive support and maintain high standards of customer service
OneIS Commitment:
Promote integrity, trust, and respect in all interactions
Strengthen collaborative relationships with stakeholders and team members
Deliver innovative, high-quality, and sustainable IT solutions
Demonstrate commitment to continuous improvement and operational excellence
EDUCATION
Required: Bachelor's Degree
Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.
WORK EXPERIENCE
Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or
Required: With preferred degree, no experience required.
May substitute required education with years of related experience on a one to one basis.
Preferred: Experience building end to end data pipelines, Power BI, Microsoft Fabric, Palantir Foundry.
Preferred Certification: Caboodle
LICENSES AND CERTIFICATIONS
Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days
The University of Texas MD Anderson Cancer Center offers excellent https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs, 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
Additional Information
Requisition ID: 181556
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 106,500
Midpoint Salary: US Dollar (USD) 133,000
Maximum Salary : US Dollar (USD) 159,500
FLSA: exempt and not eligible for overtime pay
Fund Type: Hard
Work Location: Remote (within Texas only)
Pivotal Position: Yes
Referral Bonus Available?: No
Relocation Assistance Available?: No
LI-Remote
