Data Engineering Manager

Doximity•San Francisco, CA

10h•$172,000 - $254,000•Remote

About The Position

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! This role can be filled in our San Francisco headquarters OR remotely in the US or Canada. About you Foremost an 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. Experienced People Manager. You have experience managing 3 or more people whereby you were accountable for their growth and success as individuals and team members. Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply. Player Coach. You are able to contribute individually, outside of your reports or team, balancing priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor). See a project from end-to-end. You have led several projects, your own ideas and other's. This means from idea generation to planning, execution, through delivering. 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. Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. Collaborate with Doximity’s Data Leadership team to ensure alignment and success across the entire Data Organization. Manage individual Data Engineers to foster learning, growth and success at Doximity. 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 More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com.

Requirements

Foremost an 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.
Experienced People Manager. You have experience managing 3 or more people whereby you were accountable for their growth and success as individuals and team members.
Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.
Player Coach. You are able to contribute individually, outside of your reports or team, balancing priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor).
See a project from end-to-end. You have led several projects, your own ideas and other's. This means from idea generation to planning, execution, through delivering.
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.

Responsibilities

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.Inform data team strategy by working with the product leaders and managers.
Actively participate in execution and some planning of organizational data team strategy.
Collaborate with Doximity’s Data Leadership team to ensure alignment and success across the entire Data Organization.
Manage individual Data Engineers to foster learning, growth and success at Doximity.