Senior Software Engineer, Data

Doximity•Chicago, IL

17d•$147,000 - $213,000•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 either the US, Mexico, Brazil or Canada. About you Expert in Python and Fluent in SQL. You have developed maintainable data pipelines with them. Foremost an engineer . You exemplify high code quality and guide others. Good engineering tools. You are experienced in creating automated testing, applying design patterns, and other engineering best practices. 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 aficionado. You understand the building blocks required to deploy, measure and monitor the success of ML/AI based applications and are eager to use this understanding to support data driven development. Here's How You Will Make an Impact Evolve an AI-based transcription and note generation product for clinicians. Collaborate with Data Analysts and Developers to design, implement and improve LLM evaluation strategies and possible architectures, steering future iterations of this product. 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. 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

Requirements

Expert in Python and Fluent in SQL.
You have developed maintainable data pipelines with them.
Foremost an engineer . You exemplify high code quality and guide others.
Good engineering tools. You are experienced in creating automated testing, applying design patterns, and other engineering best practices.
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 aficionado. You understand the building blocks required to deploy, measure and monitor the success of ML/AI based applications and are eager to use this understanding to support data driven development.

Responsibilities

Evolve an AI-based transcription and note generation product for clinicians.
Collaborate with Data Analysts and Developers to design, implement and improve LLM evaluation strategies and possible architectures, steering future iterations of this product.
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.