
Doximity
Senior Software Engineer, Data at Doximity
$165,000–$221,000 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Senior Software Engineer, Data at Doximity listing.
- Company
- Doximity
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $165,000–$221,000 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Doximity is hiring a full-time Senior Software Engineer, Data. The position is remote and open to candidates in the United States, Canada, and some countries in South America. Visa sponsorship is not available. Doximity describes its clinical AI platform as serving more than 85% of U.S. physicians and over 300 health systems, with a mission to help clinicians work more productively and improve patient care.
You’ll build and maintain data pipelines and ETL processes that help product managers, data analysts, and machine learning engineers derive insights. The role includes translating product requirements into project plans, setting reusable data architecture practices, and partnering with data leadership to advance projects across the commercial organization. It also calls for end-to-end pipeline design, from technology selection through implementation, testing, and rollout, as well as monitoring and maintaining asynchronous systems.
The anticipated total compensation is $165,000–$221,000 per year, with the final amount based on factors including experience, skills, location, and internal equity. The package may include base salary, equity, and annual bonus or incentive compensation, where applicable; details are discussed during interviews. Full-time benefits include medical, dental, and vision insurance; a 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; and remote-work support and a home-office stipend, where applicable.
Doximity may use AI-enabled tools for administrative recruiting tasks such as scheduling, communication, interview coordination, note-taking, or feedback summaries; recruiters and hiring managers make hiring decisions. The company states that it is an equal opportunity employer and can provide reasonable accommodations during the application or interview process.
Role at a glance: Remote, full-time senior data engineering role at Doximity, with anticipated total compensation of $165,000–$221,000 per year.
Responsibilities mentioned in the listing
- Develop data pipelines and ETL processes with product managers, data analysts, and machine learning engineers to support insight generation.
- Translate product requirements into actionable project plans for yourself or colleagues to carry out.
- Create repeatable, schedulable, and automatable data architecture practices that other teams can adopt.
- Partner with data leadership to identify and advance meaningful projects across the commercial organization.
- Design data pipelines end to end, including technology selection, implementation, testing, and rollout.
- Apply appropriate asynchronous approaches, such as APIs, streaming, and multithreading, and monitor and maintain those systems.
Qualifications stated in the listing
- At least five years of industry experience as a data engineer or in a similar role.
- Strong Python expertise and fluency in SQL, with experience building maintainable data pipelines using both.
- Experience with automated testing, design patterns, and other software engineering best practices.
- Ability to produce high-quality code and guide other engineers.
- Experience architecting and delivering multiple data pipelines from start to finish.
- Comfort identifying where asynchronous techniques are appropriate and maintaining the resulting systems.
- A product-oriented approach, including prioritizing work against broader business goals.
- Strong communication skills with technical and non-technical audiences, including explaining complex ideas clearly.
Full details from the source listing
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 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 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 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.
Our Hiring Process & AI Tools
Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.
Equal Employment Opportunity
Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.
If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.


