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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: https://ribbon.readme.io/docs - 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: https://www.ribbonhealth.com/careers/. If you're interested, please reach out to team@ribbonhealth.com!