Note: The job is a remote job and is open to candidates in USA. UT MD Anderson is a leading cancer center that is seeking a Data Engineer to contribute to their Enterprise Data Engineering & Analytics Department. The Data Engineer will operationalize data engineering and analytics initiatives, build scalable data pipelines, and support data governance and analytics enablement.
Responsibilities
- Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution
- Build and support data sources and tools across the Context Engine framework through ingestion, ingress, egress, curation, transformation, modeling, and integration activities
- Support data governance processes that track data provenance, security, data quality, and ontology throughout the data lifecycle
- Participate in planning, architecture, analysis, design, and implementation of enterprise data pipelines and solutions
- Partner with Information Systems, Data Offices, Data Governance teams, and other stakeholders to manage institutional data efficiently
- Support existing end-to-end data pipelines from acquisition and integration through analytics consumption
- Build data curation pipelines that include profiling, specification creation, cleansing, transformation, standardization, mastering, harmonization, validation, aggregation, and monitoring
- Incorporate repeatable solution designs and data models into enterprise data solutions
- Integrate metadata management and governance processes into ingestion, curation, and pipeline development activities
- Explore and promote modern tools, technologies, and architectures that automate repeatable data preparation and integration activities
- Create, improve, and operationalize integrated and reusable data pipelines
- Enable faster access to trusted data and maximize data reuse across the enterprise
- Partner with Enterprise Development & Integration and Enterprise Data Science teams to deliver analytics solutions
- Adhere to effective data management practices and promote understanding of data and analytics
- Collaborate creatively with Principal and Senior Data Engineers and enterprise technology teams on solution delivery initiatives
- Adhere to Information Systems standard operating procedures, institutional policies, and data stewardship requirements
- Support institutional data strategy initiatives, including Context Engine objectives
- Participate in development and maintenance of technical documentation for enhancements and new technologies
- Follow documented change control procedures and participate in change control audits when required
- Perform quality control testing and review solutions to ensure technical soundness
- Assist with analytics platform updates and new-release implementation activities
- Adhere to regulatory requirements, quality standards, and industry best practices
- Collaborate with internal and external stakeholders to maintain effective processes and systems
- Participate in after-hours application support and downtime procedures
- Train data scientists, data analysts, end users, and other data consumers on data pipelining and preparation techniques
- Assist with development of training plans for Context Engine tools and related systems
- Partner with training teams and subject matter experts to develop educational curricula
- Provide institutional, departmental, and individual training on Enterprise Data Engineering & Analytics deliverables
- Support customer relationships and collaborate with OneIS to deliver effective technical solutions and service
Skills
- Bachelor's Degree
- 2 years Clinical, relevant healthcare information technology, or relevant business experience
- With 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
- Master's Degree in Business Analytics, Computer Science, Information Technology, Data Science, or related field
- Experience using Palantir Foundry and Microsoft Fabric
- Epic certification in at least one Clinical, Access, or Revenue module
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.
- Fully remote Texas-based work arrangement
- Access to extensive wellness, fitness, and employee resource groups.
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