Staff Data Engineer
San Francisco HQ/Remote
Nurx is on a mission to change the way healthcare is delivered, making it more accessible and affordable for patients, nationwide. With a specialty in sensitive health, we have built the industry-leading telehealth platform that spans consultation, diagnoses and fulfillment (right to your door). We are committed to revolutionizing the healthcare industry and that’s where you come in!
Today we have more than 300,000 patients, are growing 90% year-over-year, and operate in 30 states. We are lucky to count Kleiner Perkins and Union Square Ventures as investors and Chelsea Clinton and Regina Benjamin as Board Members.
Nurx is looking for a Senior Data Engineer who will help us build infrastructure to answer complex business and health questions through data. This is a rare opportunity to help create a data-driven culture from the ground up and impact the lives of millions by helping reinvent the healthcare system. We’re building a system to support delivery of medical care in a modern and truly empathetic way.
On this team, you’ll work closely with Product, Operations, Finance, Marketing and Engineering. You’ll be reporting to the Director of Engineering, Data & ML and will engage with all aspects of Nurx. The infrastructure you help create will hold business and clinical structured and unstructured data, and will scale with the organization to drive operational efficiency to increase our ability to better our patient’s health.
What you’ll do:
- Create and maintain data pipelines and processes that fetch and store data in an efficient and easy to access manner.
- Help build infrastructure to aggregate data from several sources and make it readily available for analyses.
- Optimize existing ETLs to make them resilient to data failures, and scale with size.
- Take an active role in key strategic decision making and analytics across the company.
- Help Nurx develop its “Big Data” strategy - particularly helping evolve our distributed computing and machine learning capacity growth.
- Flex into other areas of the organizations to help drive data driven decision making. Assist the Product, Finance, and Engineering teams derive key insights as needed.
- Engage with stakeholders to understand business problems and translate their questions into insights and easily digestible summaries.
A bit about you:
- Minimum of 5+ years of experience in data engineering, data science, or product engineering.
- Experience with various AWS services.
- Experience with database engineering, Snowflake/Redshift, Postgres preferred.
- Experience with containerization and building virtual environments.
- Experience with Airflow and DBT/Dataform
- Experience with Data Collection via ETLs and an understanding of data warehouse organization.
- Able to manipulate complex data structures in Python or other programmatic data focused languages.
- Some understanding of statistical principles.
- Ability to understand how data should be structured for analytical purposes.