Data Engineer - Enterprise Data Engineering & Analytics

The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to join the Enterprise Data Engineering & Analytics Department. The Data Engineer plays a pivotal role in operationalizing critical data engineering and analytics initiatives that support digital business priorities. This position focuses on building and testing end-to-end solution delivery, including developing data pipelines within the Context Engine, while partnering across enterprise teams to deliver production-ready analytics for key stakeholders.

The Data Engineer collaborates with Principal and Senior Data Engineers and Information Systems teams to enable integrated data solutions that drive faster access, reuse, and improved time-to-insight.

The Data Engineer contributes to a highly collaborative environment that advances enterprise-wide data capabilities through governance, innovation, and best practices. The Data Engineer ensures adherence to data governance, security, and metadata standards while enhancing scalable and reusable solutions across integrated platforms. The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention, and UT MD Anderson continues to advance its mission through cutting-edge data and analytics solutions.

The ideal candidate will bring a Master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience with Profisee Master Data Management (MDM) or similar MDM software, development and configuration. Strong SQL background with database modeling and scripting expertise. A Profisee certification is preferred. Candidates should demonstrate a collaborative mindset, technical proficiency, and the ability to support enterprise-level data initiatives.

Minimum $106,500 -- Midpoint $133,000 -- Maximum $159,500,

Work Location:

Remote only within Texas

Join UT MD Anderson in advancing data-driven innovation that directly supports groundbreaking cancer care, research, and education initiatives. As a Data Engineer, you will contribute to enterprise-level solutions that improve data accessibility and analytics capabilities while working alongside subject matter experts in a collaborative and mission-driven environment. This role offers opportunities for professional growth, exposure to modern tools and architectures, and the ability to influence meaningful outcomes through technology.

• 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.

• Participate in end-to-end solutions to increase information capabilities and realize data value
• Integrate data governance processes across ingestion, ingress, egress, curation, transformation, and modeling
• Support tracking of data provenance, security, quality, ontology, and visualization outputs
• Collaborate on planning, architecture, design, and build of enterprise data pipelines
• Contribute to existing pipelines managing data from acquisition through consumption
• Develop repeatable solution designs and standardized data models
• Build pipelines for profiling, cleansing, transforming, mastering, and validating data
• Monitor and improve data quality across the Context Engine
• I…