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Senior Software Engineer, Data

Doximity•San Francisco, CA
•$165,000 - $221,000•Remote
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About The Position

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. This role is remote in the United States, Canada, or some countries in South America.

Requirements

  • At least 5 years of industry experience as a data engineer or similar role.
  • Expert in Python.
  • Fluency in SQL.
  • Developed maintainable data pipelines with Python and SQL.
  • Experience in creating automated testing.
  • Experience applying design patterns.
  • Experience with other engineering best practices.
  • Hands-on with architecting solutions.
  • Designed several data pipelines from start to finish, including choosing appropriate technologies, building, testing and rollout.
  • Experience with asynchronous systems.
  • Comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches.
  • Understand how to monitor and maintain asynchronous systems.
  • Product mindset: think about the business impact of your work and use high-level goals to prioritize work.
  • Communication skills: excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.
  • ML/AI-aware: working knowledge of how ML/AI applications are deployed and monitored.
  • Motivated to use ML/AI awareness to advance data-driven initiatives.

Responsibilities

  • 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.

Benefits

  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Flexible paid time off and company holidays
  • Paid parental leave
  • Professional development and learning opportunities
  • Wellness and mental health resources
  • Remote work support and home office stipend (where applicable)

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

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