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.