Data Engineer - Enterprise Data Engineering & Analytics

UT MD Anderson Cancer Center is a healthcare and research organization focused on eliminating cancer. The Data Engineer will support enterprise data engineering and analytics initiatives by gathering requirements, developing end-to-end data solutions, and delivering analytics for pathology and laboratory medicine workflows through the Context Engine. The role also involves data governance, pipeline development, testing, system maintenance, training, and collaboration with enterprise technology and analytics teams.

Responsibilities:

• Participate in End-to-end solution delivery that increases information capabilities and realizes data value across the institution. End-to-End solutions include build out of data sources and tools across the Context Engine framework by integrating data governance processes through data ingestion, ingress, egress, curation, pipeline build, data transformation and modeling steps. Build out integrated data governance processes that consistently tracking data provenance, security, data quality and ontology as well as through to data visualization and insights
• Participate in existing end-to-end data pipelines consisting of a series of stages through which data flows (for example, from data sources or endpoints of acquisition to integration to consumption for specific use cases)
• Participate and incorporate data governance and metadata management processes into the data ingestion, curation and pipeline building efforts
• Promote Data Analytics & Delivery efforts and support relationships with stakeholders across the organization
• Participate in data requirements gathering for various end-to-end analytics deliverables to ensure we are delivering what is needed, not only what is requested
• Participate and implement data analytics deliverables, including data analysis, report requests, metrics, extracts, visualizations, projects or dashboards in a timely manner by leveraging tools and methodologies in line with the Context Engine Strategy
• Perform problem solving and formulation and testing and analysis of data. Designs queries using structure query language and NoSQL
• Collaborate with other data engineers on integration efforts. Promote and ensure institutional data management strategies
• Adhere to standard operating procedures set by IS division as well as all MDA policies and maintain build standards (data steward / governance oversight sign off) for support of MDA Institutional data strategy including Context Engine
• Participate in documentation preparation as needed for the implementation of enhancements or new technology
• Adhere to documented change control processes and may perform change control audits
• Perform quality control and testing and review the build of other analysts to ensure that solutions are technically sound
• Assist in overseeing analytics system updates/new releases for assigned modules
• Adhere to regulatory requirements, quality standards and best practices for systems and processes, and collaborate with internal and external stakeholders
• Participate in after-hours application support and downtime procedures
• Participate in training counterparts, such as data scientists, data analysts, end users or any data consumers, in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases
• Assist in establishing training plans for various systems in the Context Engine Tools suite and develop curricula in partnership with the MDA Training team and EDEA system experts
• Provide institutional, department and one-on-one training on EDEA deliverables
• Assist in supporting liaison relationships with customers and OneIS to provide effective technical solutions and customer service
• To provide innovative, quality, and sustainable IT solutions and services. Our success is driven by our people through Integrity and Trust, Partnership, and Quality
• Promotes trust, respect, support, and honestly with customers and each other
• Commits to being a good partner focused on building productive, collaborative, and trusting relationships with our customers and each other
• Models a commitment to excellence and strives to continually improve. Achieves desired outcomes, usability, and value that exceed expectations of others and our own
• Other duties as assigned

Requirements:

• • Required: Bachelor's Degree
• • Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or
• • Required: With preferred degree, no experience required
• • May substitute required education with years of related experience on a one to one basis
• • Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days
• • Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related
• • Preferred: Medical laboratory science or medical technology degree
• • Preferred: Anatomic Pathology Laboratory experience, Epic Beaker AP experience (including surgical pathology and/or cytopathology). Clinical Pathology Laboratory experience, and/or Epic Beaker CP experience. Experience with SQL and prior experience with reporting and visualization tools like SAP Web Intelligence, PowerBI or similar
• • Preferred Certifications: ASCP (American Society for Clinical Pathology), MLS (Medical Laboratory), MLT (Medical Laboratory Technician), CT (Cytologist/Cytotechnologist), HT (Histotechnician), AP (Beaker Anatomic Pathology), CP (Beaker Clinical Pathology)