Healthcare Data Models Engineer Jobs

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Data Engineer - Enterprise Data Engineering & Analytics

MD Anderson Houston, TX

Houston, TX

Today

$107k - $160k/yr Full time Big Data Bigdata Data

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Job Description

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

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