Doximity · Feb 5th 2021
Headquarters: San Francisco, CA URL: http://www.doximity.com
Doximity is transforming the healthcare industry. Our mission is to help doctors be more productive, informed, and connected. Achieving this vision requires a multitude of disciplines, expertises and perspective. One of our core pillars have always been data. As a software engineer focused on the infrastructure aspect of our data stack you will work on improving healthcare by advancing our data capabilities, best practices and systems. Our team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand.
Our data teams schedule over 1000 Python pipelines and over 350 Spark pipelines every 24 hours, resulting in over 5000 data processing tasks each day. Additionally, our data endeavours leverage datasets ranging in size from a few hundred rows to a few hundred billion rows. The Doximity data teams rely heavily on Python3, Airflow, Spark, MySQL, and Snowflake. To support this large undertaking, the data infrastructure team uses AWS, Terraform, and Docker to manage a high-performing and horizontally scalable data stack. The data infrastructure team is responsible for enabling and empowering the data analysts, machine learning engineers and data engineers at Doximity. We provide and evole a foundation on which to build, and ensure that incidental complexites melt into our abstractions. Doximity has worked as a distributed team for a long time; pre-pandemic, Doximity was already about 65% distributed.
Find out more information on the Doximity engineering blog
Here's How You Will Make an Impact
As a data infrastructure engineer you will work with the rest of the data infrastructure team to design, architect, implement, and support data infrastructure, systems, and processes impacting all other data teams at Doximity. You will solidify our CI/CD pipelines, reduce production impacting issues and improve monitoring and logging. You will support and train data analysts, machine learning engineers, and data engineers on new or improved data infrastructure systems and processes. A key responsibility is to encourage data best-practices through code by continuing the development of our internal data frameworks and libraries. Also, it is your responsibility to identify and address performance, scaling, or resource issues before they impact our product. You will spearhead, plan, and carry out the implementation of solutions while self-managing your time and focus.
Benefits & Perks
More info on Doximity
We're thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company's Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We're driven by the goal of improving inefficiencies in our $3.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people's lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We're growing steadily, and there's plenty of opportunities for you to make an impact.
Doximity is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.