Note: The job is a remote job and is open to candidates in USA. The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to join the Enterprise Data Engineering & Analytics Department. The Data Engineer will play a pivotal role in operationalizing critical data engineering and analytics initiatives that support digital business priorities, focusing on building and testing end-to-end solution delivery.
Responsibilities
- Participate in end-to-end solutions to increase information capabilities and realize data value
- Integrate data governance processes across ingestion, ingress, egress, curation, transformation, and modeling
- Support tracking of data provenance, security, quality, ontology, and visualization outputs
- Collaborate on planning, architecture, design, and build of enterprise data pipelines
- Contribute to existing pipelines managing data from acquisition through consumption
- Develop repeatable solution designs and standardized data models
- Build pipelines for profiling, cleansing, transforming, mastering, and validating data
- Monitor and improve data quality across the Context Engine
- Incorporate metadata management and governance into pipeline development
- Promote automation of repetitive integration and preparation tasks
- Adhere to IS division procedures and UT MD Anderson policies and build standards
- Prepare and maintain documentation for enhancements and new technologies
- Follow change control processes and support audits as needed
- Perform quality control testing and review peer builds for technical accuracy
- Assist with system updates and new releases for assigned analytics modules
- Ensure compliance with regulatory requirements and quality standards
- Collaborate with internal and external stakeholders on system improvements
- Participate in after-hours support and downtime procedures
- Train data scientists, analysts, and end users in data pipeline and preparation techniques
- Assist in creating training plans for Context Engine tools
- Develop curriculum in partnership with system experts and training teams
- Deliver departmental and one-on-one training on analytics deliverables
- Support customer relationships and provide effective technical solutions
- Deliver innovative, sustainable IT solutions aligned with organizational goals
- Promote trust, respect, and collaboration with customers and team members
- Build productive partnerships across enterprise stakeholders
- Model commitment to excellence and continuous improvement
- Achieve outcomes that exceed expectations for usability and value
Skills
- Bachelor's Degree
- 2 years Clinical, relevant healthcare information technology, or relevant business experience
- With preferred degree, no experience required
- EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 Days
- Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related
- Experience building out MDM Solutions (Master Data Management), configuring and developing Profisee, strong SQL background including database modeling, scripting
- Profisee certification
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.
- Referral Bonus Available?
- Relocation Assistance Available?
Company Overview