Data Analytics Engineer OnMed is on a mission to significantly improve access to quality, affordable, and equitable care, especially in a world where both traditional and telemedicine channels of care are proving inadequate. OnMed's patented CareStation is a virtual walk-in clinic where patients can get a personalized care experience in real time. Bottom line... we are a groundbreaking healthcare company with a singular goal - to make quality healthcare available to anyone, anywhere. You are a top-notch Data Analytics Engineer with deep expertise in Databricks, Azure, and Analytics, capable of solving complex technology issues and driving OnMed's information management and systems/data integration capabilities. You thrive in environments where innovation and agility are key, and you're passionate about using technology and data to expand access to quality healthcare. Job Duties & Responsibilities Design, develop, and maintain data integration solutions using Databricks and Azure cloud solutions, including Azure Data Factory and Azure API Management. Own the Databricks environment across information management and integration capabilities. Information Management: Collaborate with developers, engineers, and organizational leaders to design and develop the databricks environment optimization, governance, ongoing performance monitoring, and identify opportunities for process improvements based on data analytics. Integration: This role supports the integration architecture of the organization in tandem with the design, development, optimization, and ongoing performance monitoring of interfaces and integration touchpoints. Collaborate with cross-functional teams to understand data requirements, provide best practices and deliver efficient data integration solutions. Develop and optimize necessary SQL queries to support data integration and transformation processes. Implement and manage data pipelines, ensuring data quality, consistency, and reliability. Own data analytics by creating reports for executive leadership and synthesizing data to communicate and/or present key insights. Analyze data to ensure data quality, consistency, reliability, and proactively identify any gaps or quality issues with data. Monitor and troubleshoot data integration workflows to ensure seamless operation. Document data integration processes and provide technical support to stakeholders. Stay updated with the latest trends and best practices in data integration, Databricks, and Azure technologies. Perform other related role's responsibilities as assigned.