20 hours ago
Responsibilities
- Collaborate with product managers, data analysts, and machine learning engineers to develop data pipelines and ETL tasks.
- Translate product requirements into actionable project plans for execution by the candidate or peers.
- Establish data architecture processes and practices that are schedulable, automated, replicable, and reusable across teams.
- Design, build, test, roll out, monitor, and maintain data pipelines and asynchronous systems.
- Partner with data leadership to identify and advance meaningful projects across the commercial organization.
- Communicate complex technical concepts clearly to technical and non-technical audiences.
Requirements
- At least 5 years of industry experience as a data engineer or in a similar role.
- Expertise in Python and fluency in SQL.
- Experience designing several data pipelines from start to finish.
- Experience creating automated tests, applying design patterns, and following software engineering best practices.
- Experience with APIs, streaming, multithreading, and other asynchronous approaches.
- Understanding of how machine learning and artificial intelligence applications are deployed and monitored.
- Ability to apply a product mindset and prioritize work based on high-level goals.
- Strong communication skills and the ability to explain complex concepts simply.
Benefits
- Medical, dental, and vision insurance.
- 401(k) with company match.
- Flexible paid time off and company holidays.
- Paid parental leave.
- Professional development and learning opportunities.
- Wellness and mental health resources.
- Remote work support and home office stipend where applicable.
- Remote work arrangement available in the United States, Canada, or some countries in South America.
About Doximity
Doximity builds a digital platform for U.S. clinicians that combines a professional network with telehealth, secure messaging, and workflow tools. Its business model includes subscriptions for clinician recruiting (Talent Finder) and marketing solutions for hospitals and life sciences, alongside telehealth and communication products used by providers. Founded in 2010 and headquartered in San Francisco, the company is publicly traded on the NYSE (DOCS) and operates a large online directory of U.S. physicians.