Senior Data Engineer

Who we are

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.

Who you are

You are a top-notch Senior Data Engineer with deep expertise in Databricks and Azure, capable of owning complex technology issues and building and enhancing 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

• Own the architecture, development, and maintenance of our 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 with the goal to support scalability and partner integrations.
• Information Management: Collaborate with CTO and other Engineering Leaders to apply best practices across our cloud solutions, including Databricks environment optimization, governance, ongoing performance monitoring, and guidance to the business intelligence team.
• Integration: This role owns 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. Reviews and make recommendations to leadership to achieve our engineering and business goals.
• Develop and optimize necessary SQL queries to support data integration and transformation processes.
• Implement and manage data pipelines, ensuring data quality, consistency, and reliability.
• Collaborate with leaders to understand our business and proactively generating data analytics dashboards, reports, data pipeline to provide value-add insights. Oversee the work of other peers to ensure data quality, consistency and reliability to support short and long-term needs.
• Leverage AI tools to enhance and optimize monitoring and troubleshooting of data integration workflows to ensure seamless operation and ongoing maintenance.
• 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.

Knowledge, Skills & Abilities

• Strong experience with and can apply Agile engineering practices.
• Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows.
• Ability to see the big picture and service as the integration architect in tandem with getting granular about design and development – macro- and micro-level execution.
• Deep knowledge of SQL and experience with complex query optimization.
• Strong expertise in Databricks and Azure API Management.
• Experience with data modeling, ETL processes, and data warehousing.
• Familiarity with data governance and security best practices.
• Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams.
• A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment.
• Technical experience leveraging AI tools for data analytics and database maintenance will be a plus.

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 7+ years of relevant professional experience as a Data Engineer with a strong analytics background, and 4+ years of experience with Agile engineering practices.
• Proven track record with Software/Data Engineering, building robust data systems (prior leadership or mentorship experience is a plus)
• Technical Skills Required: Databricks, Python and SQL.
• Technical Skills Nice-to-Have: Azure or AWS (experience solving big data problems), C# and PySpark, and ML/Machine Learning background.
• Experience working with AI tools highly desirable.
• Experience working with healthcare data or in the healthcare industry is a plus. 

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 $160,000 - $180,000 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.

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