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Sr Data Engineer

Company: The University of Texas MD Anderson Cancer Center
Location: Houston
Posted on: August 8, 2022

Job Description:

The Senior Data Engineer in the area of Data Analytics & Delivery is a pivotal role in the Enterprise Data Engineering & Analytics Department in operationalizing critical data and analytics for MD Anderson's digital business initiatives. The Senior Data Engineer assists in managing business requirements gathering, end-to-end solution planning and optimizes data analytics delivery within the Context Engine. The Senior Data Engineer partners with other Enterprise Data Engineering & Analytics teams to assist in planning & building analytics deliverables for production use by our key data and analytics consumers. REMOTE MUST LIVE IN TEXAS The Senior Data Engineer also assists in planning and coordinating data analytics delivery activities in compliance with data governance processes and data security requirements. This results in enabling faster data delivery, integrated data reuse and vastly improved time-to-solution for MD Anderson data and analytics initiatives. The Senior Data Engineer role requires working creatively and collaboratively with IS and Institutional leaders across the enterprise. It involves evangelizing effective data accessibility practices and promoting better understanding of data and analytics. The Senior Data Engineer partners with teams across MD Anderson, including Enterprise Development & Integration and Enterprise Data Science departments in the build out and delivery of end-to-end analytic solutions through the Context Engine Framework. Standards, Testing and Maintenance 1. Coordinate and 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. 2. Participate in documentation preparation as needed for the implementation of enhancements or new technology. 3. Adhere to documented change control processes and may perform change control audits. 4. Communicate & perform quality control and testing and review the build of other analysts to ensure that solutions are technically sound. 5. Assist in overseeing analytics system updates/new releases for assigned modules. 6. Communicate and execute the adherence to regulatory requirements, quality standards and best practices for systems and processes, and collaborate with internal and external stakeholders. 7. Assist in leading and/or participate in after-hours application support and downtime procedures. Educate and Train 1. Coordinate, promote & train 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. 2. Coordinate & establish 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. 3. Provide institutional, department and one-on-one training on EDEA deliverables. 4. Coach and provide advice, guidance, encouragement, constructive feedback and transfer knowledge to less experienced team members across OneIS and the institution. 5. Assist in managing liaison relationships with customers and OneIS to provide effective technical solutions and customer service. OneIS 1. To provide innovative, quality, and sustainable IT solutions and services. Our success is driven by our people through Integrity and Trust, Partnership, and Quality. 2. Promotes trust, respect, support, and honestly with customers and each other. 3. Commits to being a good partner focused on building productive, collaborative, and trusting relationships with our customers and each other. 4. 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 Education: Bachelor's degree. Preferred Education: Master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or related. Certification Required: Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 days of date of entry into job. Preferred Certification: Python, PySpark, Spark certifications Experience: Five years of relevant information technology experience. May substitute required education with years of related experience on a one to one basis. With preferred degree, three years of experience required. Must pass pre-employment skills test as required and administered by Human Resources. Preferred Experience: Prior experience in building Foundry data pipelines Prior data warehouse and business intelligence solutions experience. Healthcare industry experience. Prior experience in Epic Cogito analytics It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. Additional Information Requisition ID: 151443 Employment Status: Full-Time Employee Status: Regular FLSA: exempt and not eligible for overtime pay Work Week: Days Fund Type: Hard Work Location: Remote (within Texas only) Pivotal Position: Yes Minimum Salary: US Dollar (USD) 97,500 Midpoint Salary: US Dollar (USD) 122,000 Maximum Salary : US Dollar (USD) 146,500 Science Jobs: No

Keywords: The University of Texas MD Anderson Cancer Center, Houston , Sr Data Engineer, Engineering , Houston, Texas

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