Healthify.us is hiring a

Data Engineer

New York, United States

About Us

After experiencing the challenge of identifying and connecting people in need with the right social services firsthand, the founding team quickly saw an opportunity to create technology that would address these needs systematically. In 2013, Healthify was founded on a resounding belief that there's more to health than health care and today, it's a leading software provider to health plans, hospitals, and provider networks working in low-income communities. Their platform empowers care teams to make quick and accurate decisions, putting community referrals just a click away.

Healthify HQ is located in Manhattan’s iconic Financial District, but we’re far from the typical Wall Street stereotype. We serve a diverse, nationwide population and naturally value building a diverse team. We’re an inclusive space for all identities committed to keeping that foundation intact as we grow. We believe in high standards beginning at the interview process and continuing as a valued member of the team. We expect the best from each other, give each other the benefit of the doubt, and encourage each other to take initiative to improve ourselves and the company.

The Role & You

Healthify's core product is an interactive listing of social services: food pantries, homeless shelters and other community-based organizations that help keep people healthy. Collecting and maintaining this database is no small feat: a lot of work goes into collecting, enhancing, and integrating existing social services information into Healthify's products.

Healthify is looking for our first data engineer to own, optimize and refine the technical components of our data workflows. A lot of work in the beginning will be automating existing processes in collaboration with our on-staff social workers. From there, you will function as one of the domain experts in social service information – helping refine our database schemas to best reflect the domain, and begin to formulate objective measures of resource quality.

  • Experience in the healthcare industry, particularly surrounding social services.
  • A background in data science.
  • Experience with formalized ETL frameworks and processes.