Job Overview

Salary Details

About the Job

UT MD Anderson Cancer Center is looking for a talented Data Engineer – Data & AI Solution to join its Enterprise Data Engineering & Analytics Department in Texas, USA.

The Data Engineer will contribute to enterprise data engineering and analytics initiatives, including scalable data pipeline development, analytics enablement, trusted data access, and implementation of the Context Engine framework.

This opportunity involves working with modern data platforms, cloud technologies, AI/ML processes, data governance, and enterprise analytics solutions to support research, clinical operations, education, and business functions.

Key Responsibilities

1. Data Engineering & Solution Delivery

• Develop and support scalable enterprise data pipelines and solutions.
• Participate in end-to-end data solution delivery, including ingestion, transformation, modeling, and integration.
• Support existing data pipelines from data acquisition to analytics consumption.
• Participate in solution planning, architecture, design, and implementation.
• Promote reusable data models and automated data integration processes.

2. Data Governance & Data Management

• Support data governance processes involving data provenance, security, quality, and ontology.
• Integrate metadata management into data ingestion and pipeline development.
• Build data curation pipelines involving profiling, cleansing, transformation, standardization, and validation.
• Develop reusable and integrated data pipelines.
• Improve trusted data access and data reuse across the enterprise.

3. Analytics & Collaboration

• Collaborate with Information Systems, Data Governance, and Enterprise Data Science teams.
• Support enterprise analytics and institutional data strategy initiatives.
• Work with senior data engineers and technology teams.
• Deliver effective data and analytics solutions to business stakeholders.

4. Testing & System Maintenance

• Perform quality control testing and validate technical solutions.
• Maintain technical documentation for new technologies and enhancements.
• Follow institutional policies and change control procedures.
• Support analytics platform updates and new-release implementations.
• Ensure compliance with regulatory requirements and industry best practices.

5. Education & Support

• Provide training to data scientists, data analysts, and other data consumers.
• Support training initiatives for Context Engine tools and related systems.
• Collaborate with training teams and subject matter experts.
• Build productive partnerships with internal teams and stakeholders.

Eligibility Criteria

• Bachelor’s Degree is required.
• Master’s Degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field is preferred.
• Two years of clinical, relevant healthcare IT, or relevant business experience is required under the standard degree pathway.
• Candidates with the preferred master’s degree may qualify without prior experience, as stated in the job posting.
• Related experience may be substituted for required education on a one-to-one basis.

Preferred Technical Skills

Applicants with hands-on experience in AI/ML model development, feature engineering, enterprise data platforms, and semantic layer implementation will have an advantage.

Required Certification

Employee Benefits

• Employer-paid medical coverage starting from day one for eligible employees working 30+ hours per week.
• Optional dental, vision, life, AD&D, and disability insurance.
• Paid time off, holidays, and extended illness leave.
• Tuition Assistance Program after six months of service.
• Wellness, fitness, and employee resource programs.
• Defined-benefit pension through the Teachers Retirement System.
• Voluntary retirement plans and additional employee benefits.
• Relocation assistance may be available.

Work Location & Requirements

Frequently Asked Questions

1. Is UT MD Anderson hiring Data Engineers?

Yes. UT MD Anderson Cancer Center has advertised a Data Engineer – Data & AI Solution position under requisition ID 183813.

2. What is the salary for this position?

The advertised annual salary ranges from $106,500 to $159,500, with a midpoint of $133,000.

3. Is this a remote job?

Yes. The position is remote within Texas, USA only. Occasional onsite attendance may be required.

4. What qualifications are required?

A bachelor’s degree is required. A relevant master’s degree is preferred. Experience requirements depend on the educational pathway.

5. Is Epic certification mandatory?

Yes. Candidates must obtain at least one eligible Epic Data Model certification or accreditation within 180 days of employment.

6. What technical skills are preferred?

SQL, Microsoft Fabric, Azure, Power BI, Palantir Foundry, AI/ML model engineering, ontology, and semantic layer implementation.