What we look for at Ribbon:

• 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
• Grit, hustle, desire, and a “get-it-done” attitude; strong comfort with a lean startup environment, where everyone is encouraged to participate in and contribute across all teams

What we’re looking for in this role:

• You have experience designing and implementing data warehouses and ETL architecture in the cloud and are excited to leverage your experience to build from the ground up
• You are very comfortable with SQL (Hive, Oracle, Vertica…etc.) and relational databases; Python experience would be a big plus but not required
• You have a unique ability and passion for transforming large and complex datasets into information that is useful for real life decision making
• You are able to break down ambiguous problems and propose clear data modeling designs
• You have the ability to make thoughtful trade-offs between long-term scalability and moving quickly in the short-term
• You care deeply about implementing best practices that ensure data integrity and reliability because you understand how our products meaningfully impact patients downstream
• Helpful but not required: You have experience working with healthcare data (e.g. claims, directory, medical records)

Your day-to-day:

• Architect and build our data warehouse: You will design and build a data warehouse that will serve as the foundation for our data pipelines and machine learning
• Scale our machine learning efforts: You will build data infrastructure to enable our machine learning engineers to deploy existing models to our production data pipeline and expand their analytics efforts
• Build a data extraction framework: You will design and improve upon our current system of record for ingesting data from hundreds of different sources
• Build data pipelines: You will integrate many data sources into the Ribbon data pipeline. You will set the standards by which other engineers building data pipelines will follow
• Build light-weight automation: You will develop systems and tools to configure, monitor, and orchestrate our data infrastructure
• Develop data standards: You will develop Ribbon’s internal standards for data management and data governance