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.

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.

Software Engineer, Python – Data Platform

Key skills