Data Analytics Engineer Principal (Remote)

The Data Analytics Engineer will help architect analytical frameworks and promote self-service offerings in the business intelligence space for technical content developers and other stakeholders in the health system. This role supports continuous improvement and technology development by leveraging available and emerging data sets from our business enterprise, processes, and machinery that enable improved content delivery to our customers. Data Analytics Engineers will work closely with various teams within the health system that support content development processes to design, build, troubleshoot, and improve our data pipeline and data models, with a focus on constructing scalable and performant infrastructure for analytical use. Further, the Data Analytics Engineer will be responsible for pioneering new methodologies, defining and improving performance metrics and evaluation, and will generally lead innovation efforts on the Data Analytics Engineering team. Successful candidates should have strong interpersonal skills and be comfortable operating in a dynamic environment. The Engineer will need advanced SQL skills to transform data from multiple sources; and strong communications skills to clearly document and explain the final data model. Lastly, the Data Analytics Engineer should have an entrepreneurial spirit, always asking "how can we do this better", to drive outcomes for patients as well as for the Health System as a whole.