Data Engineer - Enterprise Data Engineering & Analytics

At MD Anderson’s Enterprise Data Engineering & Analytics department, this Data Engineer role supports the planning, build, and operationalization of integrated data pipelines and analytics solutions. You’ll work within the Context Engine framework to deliver secure, governed, and reusable enterprise data assets that help enable clinical, research, and operational analytics.

This full-time position is based in Houston, TX (onsite), with remote work available within Texas only. The role is designed for end-to-end delivery, from ingestion and curation through transformation, modeling, and consumption.

Responsibilities

• Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution
• Build and test end-to-end data pipelines across ingestion, curation, transformation, modeling, and consumption within the Context Engine framework
• Integrate data governance processes across data provenance, security, data quality, ontology, and metadata management
• Support planning, architecture, analysis, design, and build of data pipelines in partnership with IS, Data Offices, and Data Governance teams
• Contribute to existing data pipelines spanning acquisition, integration, and consumption for defined use cases
• Build data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, and aggregating data
• Monitor and support data quality across the Context Engine
• Incorporate repeatable solution designs and data models to support reuse and scalability
• Promote effective data management practices and understanding of analytics across the enterprise
• Adhere to IS division standard operating procedures and all MD Anderson policies
• Maintain build standards and governance oversight sign-off aligned with institutional data strategy
• Prepare documentation for enhancements or new technology
• Perform quality control, testing, and peer review of analytics builds
• Support system updates, releases, change control processes, and after-hours support as required
• Train data scientists, analysts, end users, and data consumers on data pipelining and preparation techniques
• Assist in establishing training plans and curricula for Context Engine tools, and provide institutional, department, and one-on-one training on EDEA deliverables
• Support liaison relationships with customers and OneIS partners to deliver effective technical solutions
• Explore and promote modern tools, techniques, and architectures to automate data preparation and integration tasks
• Improve productivity by reducing manual and error-prone processes
• Model OneIS values through integrity, partnership, quality, and continuous improvement

Requirements

• Bachelor’s Degree
• 2 years of clinical, relevant healthcare information technology, or relevant business experience (with a substitution option: required education may be replaced by related experience on a one-to-one basis)
• With a preferred degree, no experience required
• EPIC Certification: Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 days
• Must pass a pre-employment skills test as required and administered by Human Resources

Technologies

• Context Engine framework
• Python
• Spark
• Large Language Models (LLMs)
• Foundry
• Fabric
• EPIC Cogito, Clarity, Caboodle
• Clinical Data Model
• Epic Data Model (Clinical, Access, Revenue)

Benefits

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance
• PTO and Extended Illness Bank accruals, paid holidays, wellness, childcare, and other leave options
• Tuition Assistance Program after six months of service, plus 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

Position Information

• Requisition ID: 182426
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Salary Range (40-hour work week): Minimum $106,500, Midpoint $133,000, Maximum $159,500
• FLSA: exempt and not eligible for overtime pay
• Pivotal Position: Yes
• Work Location: Houston, Texas or surrounding area preferred; remote within Texas only (#LI-Remote)
• Relocation Assistance: Yes
• Referral Bonus: Available
• Fund Type: Hard