Data Engineer - Enterprise Data Engineering & Analytics

Are you ready to launch your career at the intersection of cutting-edge technology and life-saving medicine? As a Data Engineer within the Enterprise Data Engineering & Analytics department at MD Anderson Cancer Center, you will be more than just a developer; you will be an architect of innovation. You will play a pivotal role in operationalizing complex data ecosystems, building scalable pipelines, and refining the infrastructure that powers our digital business priorities. This is an exceptional opportunity for a motivated graduate to gain hands-on experience in a mission-driven environment where your technical contributions directly influence our ability to provide world-class patient care.

In this role, you will dive deep into the full lifecycle of data solution delivery, from initial architecture to final analytics enablement. You will work alongside a collaborative team to advance our capabilities through the innovative Context Engine framework, ensuring that data is not only accessible but trusted and secure. We are looking for a curious, detail-oriented professional who is eager to master data governance and engineering best practices in one of the most prestigious healthcare organizations in the world. If you are passionate about solving real-world challenges through data and want your work to have a meaningful impact on the future of oncology, we invite you to join our growing team.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.