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Data Engineer or Staff Data Engineer

Vida Health

Vida Health

Data Science
United States
Posted on Thursday, March 23, 2023
At Vida, we help people get better — and we’re helping the healthcare system get better, too.  
Vida provides expert, personalized, on-demand health coaching and programs through a network of experienced health care providers — like dietitians, therapists, and health coaches and leading medical institutions — coupled with an easy-to-use app with award-winning content.  
We focus on chronic conditions — like diabetes, depression, and hypertension — which account for 80% of the $3 trillion spent on healthcare in the US.  
By combining advanced technology with the top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. Vida’s cloud-based platform captures real-time data from 100+ devices and apps and delivers AI-driven insights back to employers, health plans, and providers to improve care. We are trusted by Fortune 1000 companies, major national payers, and large providers to enable their employees to live their healthiest lives.
**Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
We are looking for a Staff Data Engineer who can help us build, manage, and optimize Vida Health’s data pipelines within our Google Cloud Platform (GCP) environment. From measuring Vida’s impact on health care costs to correlating member activities with successful health outcomes, you’ll have a substantial impact on projects whose results can lead to changes in product design and member experience. Our data strategy is Polychronic by Design, meaning we leverage population data insights to help members with multiple interrelated chronic conditions throughout their lifetime. 
Because Vida is a startup, you’ll have the opportunity to work on a diverse set of projects that involve multiple parts of our data infrastructure. One of your responsibilities will be to connect all our sources of data such as claims data and app data, while making the data structured and accessible for analysis and other ETL pipelines. You’ll also work on optimizing our ETL pipelines, including our ML pipelines which deliver recommendations and predictions that influence the member and health provider’s experience on the platform.
You’ll have the pleasure of working with a team who is excited about providing care to people living with chronic conditions. We also have experts in health care who are an invaluable resource for learning more about the health domain. We hope that you’ll consider embarking on this journey into polychronic health care with us.