Data Engineer - Enterprise Data Engineering & Analytics

The Data Engineer position within MD Anderson’s Enterprise Data Engineering & Analytics Department supports the design, build, and operationalization of integrated data pipelines and analytics solutions using the Context Engine framework. The role focuses on secure, governed, and reusable enterprise data assets that enable clinical, research, and operational analytics.

Responsibilities

• Participate in end-to-end solution delivery that increases institutional information capabilities and realizes data value across the organization
• Build and test end-to-end data pipelines across ingestion, curation, transformation, modeling, and consumption within the Context Engine framework
• Integrate data governance processes covering data provenance, security, data quality, ontology, and metadata management
• Collaborate with IS, Data Offices, and Data Governance teams on planning, architecture, analysis, design, and build of data pipelines
• Contribute to existing data pipelines supporting 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
• Use repeatable solution designs and data models to support reuse and scalability
• Promote effective enterprise data management practices and improved understanding of analytics across the organization
• 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 deliver institutional, department, and one-on-one training on EDEA deliverables
• Support liaison relationships with customers and OneIS partners to deliver technical solutions
• Explore and promote modern tools, techniques, and architectures to automate data preparation and integration tasks and improve productivity by reducing manual and error-prone processes
• Model OneIS values including integrity, partnership, quality, and continuous improvement

Requirements

• Bachelor’s Degree
• 2 years clinical, relevant healthcare information technology, or relevant business experience, or with a preferred degree and no experience required
• May substitute required education with years of related experience on a one-to-one basis
• EPIC requirement: EPIC Certification must be obtained, including 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
• 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

Position Information

• Requisition ID: 182426
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• FLSA: Exempt and not eligible for overtime pay
• Fund Type: Hard
• Pivotal Position: Yes
• Referral Bonus Available: Yes
• Relocation Assistance Available: Yes
• Work location: Houston, Texas (onsite) with an additional option for remote work within Texas only (#LI-Remote)
• Work location preference: Prefer a candidate in Houston, Texas or surrounding area
• Salary range (40-hour work week): Minimum $106,500, Midpoint $133,000, Maximum $159,500