Experienced Python Developer Needed for Data Infrastructure Role
Doximity, the leading digital platform for U.S. medical professionals, is on a mission to help every physician be more productive for better patient care. The company, which boasts over 80% of physicians, 50% of nurse practitioners and physician assistants, and 90% of graduating medical students as members, is now seeking a Senior Python Data Platform Engineer to join their remote team.
About the Role
As a Senior Python Data Platform Engineer, you will be part of Doximity's dedicated team of doers, passionate about improving inefficiencies in the $4.3 trillion U.S. healthcare system. Your role will focus on the data platform, requiring strong Python skills and experience maintaining and evolving data infrastructure used by data teams.
Qualifications
To excel in this role, you should possess strong proficiency in Python for backend and data platform development. Experience with large-scale data systems and cloud platforms is essential. Familiarity with data engineering, querying, and data pipeline tools is also required.
You should be able to collaborate cross-functionally with data teams, product managers, and engineers. Experience with software engineering best practices, testing, and scalable system design is highly valued.
Responsibilities
Your primary responsibilities will include maintaining and enhancing Doximity’s data platform software layer, supporting data teams by providing reliable, scalable data infrastructure, and developing and deploying data ingestion, transformation, and querying systems. You will also collaborate in defining and implementing data solutions and engineering strategy.
Compensation
The salary range for a Senior Software Engineer (Python), Data Platform at Doximity is approximately $165,000 to $195,000 per year for remote roles in the U.S. These figures may be supplemented by bonuses, stock options, and other benefits.
The median base pay for remote data-related roles at Doximity sits around $143,000, with some variation based on experience and location.
Benefits
In addition to a competitive salary, Doximity offers a comprehensive benefits package. This includes a 401k matching program, life, AD&D, and disability insurance, as well as an employee stock purchase plan. The company also provides generous time off, holidays, and paid company trips.
Furthermore, Doximity offers medical, dental, and vision benefits for employees and their families, family planning support, Childcare FSA, and parental leave.
How to Apply
Interested candidates should demonstrate expert fluency in Python, SQL, and an understanding of programming language internals. A proven track record of supporting multiple product teams simultaneously is highly desirable.
The ideal candidate should have advanced knowledge of software engineering practices and testing methodologies. You will be expected to propose, architect, design, and implement solutions and best practices to maximize the time product teams can spend on their immediate goals.
You will work closely with data analysts, data engineers, and machine learning engineers to understand their future needs and current challenges. The data platform team is responsible for continuously improving the software environment for these teams at Doximity.
If you are passionate about making a difference in the healthcare industry and have the skills and experience we're looking for, we'd love to hear from you. Apply today to join Doximity's mission to help every physician be more productive for better patient care.
In this role as a Senior Python Data Platform Engineer at Doximity, you will leverage technology to improve inefficiencies in the healthcare sector, contributing to education and self-development by acquiring new skills in data-and-cloud-computing. With the potential to advance your career-development, you will be collaborating cross-functionally with various teams to enhance the data platform and support data teams.
To excel in this role, you should showcase expertise in Python, possess experience with large-scale data systems and cloud platforms, and demonstrate familiarity with data engineering, querying, and data pipeline tools. Furthermore, knowledge of software engineering best practices, testing, and scalable system design will be highly valued.
