Location: Houston, TX
Cap-Exempt H-1B Position — No lottery required
The **Data Engineer** role is a pivotal position within the **Enterprise Data Engineering & Analytics Department**, supporting the design, build, and operationalization of integrated data pipelines and analytics solutions that enable MD Anderson's digital business initiatives. The Data Engineer works across the Context Engine framework to deliver end-to-end data engineering solutions while partnering closely with Enterprise Data Engineering & Analytics teams and other institutional stakeholders. The Data Engineer contributes to the mission of MD Anderson Cancer Center, a leading institution focused on cancer care, research, education, and prevention. In this role, the Data Engineer helps advance enterprise analytics capabilities by ensuring secure, governed, and reusable data assets that accelerate insights and improve time-to-solution across MD Anderson. Ideal Candidate Statement The **ideal candidate** for the Data Engineer role brings a bachelor's degree in computer science, preferred advanced education in analytics or computer science, hands-on experience building data pipelines in healthcare or research environments, and familiarity with modern cloud-based data platforms, hands-on use of Large Language Models (LLMs) in real-world projects, Python or Spark development, and analytics delivery. Epic data model exposure or certification and the ability to collaborate across technical and clinical teams are strongly preferred. Position Information **Salary range based on a 40-hour work week: Minimum $106,500 - Midpoint $133,000 - Maximum $159,500** **Work location: Houston, Texas or surrounding area preferred** This Data Engineer role offers the opportunity to contribute directly to MD Anderson's mission by enabling high-quality, governed data that supports clinical, research, and operational analytics across the institution. The position provides exposure to enterprise-scale data engineering initiatives, collaboration with experienced engineering and data science p