Senior Software Engineer, Data

Doximity; United States; Remote; USD 165,000 - 221,000; Full time

Job summary

Doximity is seeking a software engineer with 5+ years of experience as a data engineer or similar role, focused on Python and SQL to build reliable data pipelines.

You will architect and maintain ETL processes, design asynchronous systems, and ensure APIs and streaming work reliably, while collaborating with product teams to drive data-driven decisions.

Qualifications

• 5+ years of industry experience as a data engineer or similar role.
• Expert in Python with fluency in SQL and building maintainable data pipelines.
• Experience with asynchronous architectures, APIs, streaming, and multithreading.
• Demonstrated testing, design patterns, and engineering best practices.
• Ability to communicate with technical and non-technical stakeholders and think business-first.

Responsibilities

• Collaborate with product managers and engineers to develop data pipelines and ETL tasks.
• Translate product requirements into actionable data work plans.
• Architect data processes with automation and standardization for reuse.
• Drive data-driven initiatives across the organization and monitor systems.

Skills

Python

SQL

Data pipelines

Automated testing

Design patterns

Asynchronous systems

APIs

Multithreading

Monitoring

Communication

Product mindset

Job description

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 stackWe have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projectsWe have worked as a distributed team for a long time; we're currently about 65% distributedFind out more information on the Doximity engineering blogOur company core valuesOur recruiting processOur product development cycleOur on-boarding mentorship process

Compensation

The anticipated total compensation for this role is $165,000 - $221,000, dependi