Software Engineer (Python), Data Platform

Doximity•San Francisco, CA

113d•$134,000 - $183,000•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! Engineers on our data platform team provide standardized tools, frameworks and libraries to empower data pipelining and analytics endeavors through a horizontally scalable data stack. The data platform team is responsible for continuously improving the software environment for our data analysts, machine learning engineers, and data engineers at Doximity. Effectively maintaining and evolving the software layer on which all data teams at Doximity use to build their solutions. This role can be filled in our San Francisco headquarters OR remotely in the U.S, Central or South America. How you’ll make an impact You will work closely with data analysts, data engineers, and machine learning engineers, understanding their future needs and current challenges. Your role will be pivotal in ensuring that the Doximity data stack evolves to meet these future requirements and alleviate existing obstacles. Understand what our data product teams are trying to achieve. Principally, to help you propose, architect, design, and implement solutions and best practices to maximize the time they can spend on their immediate goals, while minimizing the time they need to spend on unrelated or redundant technical hurdles. You will play a key role in continuously enhancing our software engineering culture within the data organization. Your leadership by example will be instrumental in this process. Working with other teams, you will help isolate and understand development, performance, and stability issues. Alongside the data infrastructure team, you will form the last line of defense in resolving problems facing members of our data teams. What we’re looking for We're seeking a highly experienced Python engineer who brings a wealth of professional experience in internal tooling and automation, with a proven track record of supporting multiple product teams simultaneously. The ideal candidate will demonstrate expert fluency in Python and, ideally SQL, coupled with an understanding of programming language internals. Advanced knowledge of software engineering practices, and testing methodologies is a must; you are foremost an engineer, making you passionate about high-quality code, automated testing, and software engineering best practices. Your ability and drive to self-manage, prioritize tasks, and deliver functional solutions will be crucial to succeeding in this role. You believe successful teamwork requires clear and effective communication, both written and verbal. You possess advanced knowledge in one or more of: container-based software development workflows (Kubernetes, Docker, Podman), Snowflake, AWS, Apache Airflow, & Kafka. You have experience with SQL, analytical databases and data analytics.

Requirements

We're seeking a highly experienced Python engineer who brings a wealth of professional experience in internal tooling and automation, with a proven track record of supporting multiple product teams simultaneously.
The ideal candidate will demonstrate expert fluency in Python and, ideally SQL, coupled with an understanding of programming language internals.
Advanced knowledge of software engineering practices, and testing methodologies is a must; you are foremost an engineer, making you passionate about high-quality code, automated testing, and software engineering best practices.
Your ability and drive to self-manage, prioritize tasks, and deliver functional solutions will be crucial to succeeding in this role.
You believe successful teamwork requires clear and effective communication, both written and verbal.
You possess advanced knowledge in one or more of: container-based software development workflows (Kubernetes, Docker, Podman), Snowflake, AWS, Apache Airflow, & Kafka.
You have experience with SQL, analytical databases and data analytics.

Responsibilities

You will work closely with data analysts, data engineers, and machine learning engineers, understanding their future needs and current challenges.
Your role will be pivotal in ensuring that the Doximity data stack evolves to meet these future requirements and alleviate existing obstacles.
Understand what our data product teams are trying to achieve.
Principally, to help you propose, architect, design, and implement solutions and best practices to maximize the time they can spend on their immediate goals, while minimizing the time they need to spend on unrelated or redundant technical hurdles.
You will play a key role in continuously enhancing our software engineering culture within the data organization.
Your leadership by example will be instrumental in this process.
Working with other teams, you will help isolate and understand development, performance, and stability issues.
Alongside the data infrastructure team, you will form the last line of defense in resolving problems facing members of our data teams.