Senior Software Engineer, Data

Headquarters: San Francisco, CA or Remote (U.S.)

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

Visa sponsorship is not available for 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, 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.

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 & 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 dis...