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
- 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.
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.
About Doximity
Doximity is an online networking service for medical professionals
More jobs at Doximity
- Business Intelligence Analyst (Contractor)
- Sr. Statistician, Client Intelligence
- Commercial Data Scientist
- Senior Data Scientist
- Staff Applied AI Engineer