Senior Software Engineer, Data or Remote; U.S
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-18
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Software Development
Backend Developer, Software Engineer, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
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.
- 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.
- We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects
The anticipated total compensation for this role is $165,000 - $221,000, depending on factors such as experience, skills, location, and internal equity.
Our total compensation package may include:
- Equity (where applicable)
- Annual bonus or incentive compensation (where applicable)
Specific compensation details will be discussed during the interview process.
In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:
- 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)
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.
- Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
- Work with…
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