Ribbon Health | Software Engineering (Data Engineering, Machine Learning) | New York, USA | Full-time | Backed by Y Combinator, SV Angel, and Box Group
We are looking for a Software Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.
What we’re looking for:
- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient
- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company
- Relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)
- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.
Your day-to-day:
- Scaling out our predictive modeling efforts, data collection, and ETL to help build a best in class healthcare data platform
- Build, design, improve, and launch new API features. To learn more, see: <a href="
- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)
To learn more, please go to: <a href=". If you're interested, please reach out to REDACTED_EMAIL!