Senior Software Engineer, Data

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

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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.

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Hands-on with architecting solutions. You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout.

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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.

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Product mindset. You think about the business impact of your work, and can use high-level goals to prioritize work.

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Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.

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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

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Find out more information on the Doximity engineering blog

- Our company core values

- Our recruiting process

- Our product development cycle

- Our on-boarding & mentorship process

Compensation

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:

- Base salary

- Equity (where applicable)

- Annual bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.
Benefits

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)

Why You'll Love Working Here

At Doximity , you'll join a mission-driven company where your work has a meaningful impact on healthcare. We beli