Doximity

Develop and maintain data pipelines and collaborate with cross-functional teams to support data-driven initiatives. | At least 5 years as a data engineer with expertise in Python, SQL, asynchronous systems, and strong communication skills. | 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)

Develop and maintain data pipelines and collaborate with cross-functional teams to support data-driven initiatives. | At least 5 years experience as a data engineer or similar, expert in Python and SQL, experienced in asynchronous systems and data pipeline architecture. | 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)

Develop and maintain data pipelines and collaborate with cross-functional teams to deliver data-driven solutions. | At least 5 years experience in data engineering with expertise in Python, SQL, asynchronous systems, and strong communication skills. | 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)

Develop and maintain software systems with strong collaboration and mentorship. | Senior software developer with expertise in API and system design, strong communication, and mentorship skills. | 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)