Epic Cognito Business Intelligence Developer

The Epic Cognito Business Intelligence Developer in Data Engineering is a key role within the Enterprise Data Engineering & Analytics Department, supporting the design, build, and operationalization of enterprise data pipelines and analytics solutions through the Context Engine framework. The Epic Cognito Business Intelligence Developer in Data Engineering partners closely with data engineering, analytics, governance, and information services teams to enable integrated, reusable, and secure data solutions that support digital business initiatives across the institution.

The Epic Cognito Business Intelligence Developer in Data Engineering plays a critical role in advancing MD Anderson Cancer Center’s data and analytics capabilities by improving time-to-solution, strengthening data governance, and expanding access to high-quality, trusted data across the enterprise.

The ideal candidate for the Epic Cognito Business Intelligence Developer in Data Engineering holds a bachelor’s degree with a preference for a master’s degree in business analytics, computer science, information technology, data science, or a related field, has experience in healthcare information technology and is Epic Cognito or Epic Data Model certified while demonstrating strong SQL skills, familiarity with business intelligence tools, and the ability to collaborate across technical and clinical teams.

Minimum $106,500 - Midpoint $133,000 - Maximum $159,500 per hour based on a 40-hour work week. Work Location: Remote with Texas only. Why Us?

This role directly supports MD Anderson’s mission by enabling trusted, governed, and timely data that drives clinical, operational, and research insights. The Epic Cognito Business Intelligence Developer in Data Engineering offers meaningful exposure to enterprise-scale data engineering, collaboration with highly skilled technical teams, and opportunities for continued learning and certification within a nationally recognized healthcare institution, while supporting balance through remote work within Texas.

• 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.

Responsibilities End-to-End Data Engineering & Solution Delivery

• Participate in end-to-end solution delivery to increase information capabilities and realize enterprise data value.
• Build and test end-to-end data pipelines across ingestion, ingress, egress, curation, transformation, modeling, and consumption within the

Context Engine framework.

• Develop data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, aggregating, and monitoring data quality.
• Contribute to repeatable solution designs, reusable data models, and scalable pipeline architectures.
• Partner with IS, Data Offices, Data Governance teams, and other stakeholders to support efficient enterprise data management.

Data Governance, Quality & Security

• Integrate data governance and metadata management processes into data ingestion, curation, and pipeline development.
• Support consistent tracking of data provenance, security, data quality, and ontology across analytics solutions.
• Adhere to data stewardship and governance oversight requirements aligned with institutional data strategy.

Standards, Testing & System Maintenance

• Follow standard operating procedures, documented change control processes, and MD Anderson policies.
• Perform quality control, testing, and peer reviews to ensure technical soundness of analytics solutions.
• Assist with analytics system updates, new releases, after-hours support, and downtime procedures.
• Prepare and maintain technical documentation for enhancements and new technologies.

Collaboration, Innovation & Continuous Improvement

• Work creatively and collaboratively with principal and senior data engineers and enterprise IS teams.
• Explore and promote modern tools, techniques, and architectu…