The Children's Hospital of Philadelphia Data Engineer II in Philadelphia, Pennsylvania

Req ID: 19425 Shift: Days Employment Status: AF - Active - Regular - Full Time JOB SUMMARY We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data warehouse and building data integrations, developing data best practices and governance, performing clinical and administrative reporting and data visualization, as well as optimizing data flow and collection for cross functional teams. The ideal candidate has been exposed to all aspects of data from multiple complex sources who enjoys optimizing data systems and building them from the ground up. The Data Engineer II will support our developers, database architects, data analysts, and data scientists and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They will also support non-technical colleagues in the collection and appropriate use of clinical and non-clinical data. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company s data architecture to support our next generation of products and data initiatives. JOB RESPONSIBILITIES 1. Data Modeling evaluate structured and unstructured data, determine the most appropriate schema for new fact tables, data marts, etc. 2. Data Integration incorporate new business and system data into the CHOP Data Warehouse while maintaining enterprise best practices and adhering to data governance standards. 3. ETL apply business rules to our data as we migrate from source to target using Informatica or scripting language. Validate data to ensure quality. 4. Reporting collaborate with colleagues across the enterprise to scope requests. Extract data from various data sources, validate results, create relevant data visualizations, and share with requester. Develop dashboards and automate refreshes as appropriate. 5. Governance / Best Practices adhere and contribute to enterprise data governance standards. Also educates and supports colleagues in best practices to ensure that data is used appropriately. 6. Assemble large, complex data sets that meet functional / non-functional business requirements. 7. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 8. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (including ground, hybrid cloud, and cloud) using SQL and various programming technologies. 9. Develop analytics tools that utilize data resources to provide actionable insights, operational efficiency and other key business performance metrics. 10. Work with stakeholders including the Executive, Clinical, and Analyst teams to assist with data-related technical issues and support their data infrastructure needs. 11. Develop optimized tools for analytics and data scientist team members that assist them in building and optimizing projects into an innovative industry leader. 12. Proficient at integrating predictive and prescriptive models into applications and processes. 13. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportuniti