About this role
About Doximity
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients.
At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you.
About the Role
• Foremost a software engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role.
• You are experienced in creating automated testing, applying design patterns, and other engineering best practices.
• You are an expert in Python and possess fluency in SQL and have developed maintainable data pipelines with each.
• Hands-on with architecting solutions. You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout.
• Experience with aychronous systems. You are comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches to the right problems. You understand how to monitor and maintain these systems.
• Product mindset. You think about the business impact of your work, and can use high-level goals to prioritize work.
• Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.
• ML/AI–aware. You have working knowledge of how ML/AI applications are deployed and monitored, and you’re motivated to use this awareness to advance data-driven initiatives.
Location : This role is remote in the United States, Canada, or some countries in South America.
Here's How You Will Make an Impact
• Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
• Understand product requirements and translate them into actionable project plans that you or your peers execute upon.
• Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.
• Collaborate with your team's Data Leadership to identify and push forward meaningful projects across the commercial org.
About Us
• Explore our stack
• We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects
• We have worked as a distributed team for a long time; we're currently about 65% distributed
• Find out more information on the Doximity engineering blog
• Our company core values
• Our recruiting process
• Our product development cycle
• Our on-boarding & mentorshi