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Senior Software Engineer, Data

Doximity · San Francisco, CA or Remote (U.S.) · Remote

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About Doximity

Doximity is an online networking service for medical professionals. Launched in 2010, the platform offers its members curated medical news, telehealth tools, and case collaboration. Backed by Emergence Capital.

About the role

At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.

What they're looking for

  • Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care
  • Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning
  • Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work
  • Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development
  • Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated
More about this role

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,...

Read the full posting on Doximity's site ↗

Data

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