Job description

Who we are OnMed’s purpose is to improve the quality of life and sense of wellbeing in communities by transforming how people access care. OnMed is defining a new standard in healthcare—combining the scalability of telehealth with the comprehensive diagnostics of one-to-one care. The OnMed CareStation, an 8x11 Clinic-in-a-Box, delivers real-time, personalized support where and when it’s needed most. This is a groundbreaking healthcare company redefining access, making high-quality care available to everyone, everywhere. Who you are 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. Requirements Knowledge, Skills & Abilities • Proven and deep experience in data and integration management, having played a role as a Data Engineer in the past. • 2+ years of experience with Agile engineering practices. • Ability to see the big picture and service as the integration architect in tandem with granular design and development – macro- and micro-level execution. • Deep knowledge of SQL and experience with complex query optimization. • Proficiency in Python. • Excellent understanding of Azure services and architecture. • Experience with data modeling, ETL processes. • Experience working with Databricks or other cloud-based data warehouses. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. • Familiarity with data governance and security best practices. • Data analysis & storytelling: ability to interpret data and provide business recommendations. Education & Experience • Bachelor's degree in Computer Science, Information Technology, or a related field. • At least 3-5 years of relevant professional experience as a Data Engineer with analytics background. • Technical Skills Required: Databricks, Python and SQL. • Technical Skills Nice-to-Have: Azure or AWS (experience solving big data problems), C# and PySpark. • Experience working with AI tools highly desirable. • Experience working with healthcare data or in the healthcare industry is a plus. Benefits Why work with us? This is an exciting and vibrant time to join OnMed for our next growth phase. You’ll have the opportunity to collaborate with a high-performing team, driven by our shared momentum and the meaningful impact we’re creating together. OnMed provides a competitive total rewards package, including comprehensive healthcare benefits, unlimited PTO, and paid holidays. The base salary range for this role is $140,000 - $160,000 commensurate with the candidate's experience. OnMed is a proud equal opportunity employer. All qualified applicants will be considered without regard to race, color, creed, religion, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, marital status, veteran status, or any other category protected by law. #LI-HYBRID Who we are OnMed’s purpose is to improve the quality of life and sense of wellbeing in communities by transforming how people access care. OnMed is defining a new standard in healthcare—combining the scalability of telehealth with the comprehensive diagnostics of one-to-one care. The OnMed CareStation, an 8x11 Clinic-in-a-Box, delivers real-time, personalized support where and when it’s needed most. This is a groundbreaking healthcare company redefining access, making high-quality care available to everyone, everywhere. Who you are 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. Requirements Knowledge, Skills & Abilities • Proven and deep experience in data and integration management, having played a role as a Data Engineer in the past. • 2+ years of experience with Agile engineering practices. • Ability to see the big picture and service as the integration architect in tandem with granular design and development – macro- and micro-level execution. • Deep knowledge of SQL and experience with complex query optimization. • Proficiency in Python. • Excellent understanding of Azure services and architecture. • Experience with data modeling, ETL processes. • Experience working with Databricks or other cloud-based data warehouses. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. • Familiarity with data governance and security best practices. • Data analysis & storytelling: ability to interpret data and provide business recommendations. Education & Experience • Bachelor's degree in Computer Science, Information Technology, or a related field. • At least 3-5 years of relevant professional experience as a Data Engineer with analytics background. • Technical Skills Required: Databricks, Python and SQL. • Technical Skills Nice-to-Have: Azure or AWS (experience solving big data problems), C# and PySpark. • Experience working with AI tools highly desirable. • Experience working with healthcare data or in the healthcare industry is a plus. Benefits Why work with us? This is an exciting and vibrant time to join OnMed for our next growth phase. You’ll have the opportunity to collaborate with a high-performing team, driven by our shared momentum and the meaningful impact we’re creating together. OnMed provides a competitive total rewards package, including comprehensive healthcare benefits, unlimited PTO, and paid holidays. The base salary range for this role is $140,000 - $160,000 commensurate with the candidate's experience. OnMed is a proud equal opportunity employer. All qualified applicants will be considered without regard to race, color, creed, religion, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, marital status, veteran status, or any other category protected by law. #LI-HYBRID

Requirements