Staff Data Engineer

About the role:

Data is a core part of our product. Our data pipelines today consist of hundreds of datasets from unique sources and continue to grow every day. These pipelines powers our machine learning models and API, which powers production workflows that affect real patients. 

We’ve experienced rapid growth in data scale over the past few years and are looking for an experienced developer to build scalable systems that can support the next phase of our growth. We are looking for someone who can architect efficient and scalable systems, set data engineering standards for the engineering organization, and enjoys rolling up their sleeves and coding.

What you'll do:

• 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
• Dedication to the creation of a diverse, equitable, and inclusive environment where teammates are celebrated for their unique perspectives and work together to simplify healthcare for all

About you:

• You have experience designing and implementing data ingestion frameworks and are excited to leverage your experience to build from the ground up
• You have been a technical lead among a team of engineers working on data ingestion
• You are very comfortable with SQL; Although you’ll initially work mostly in Python, you’ll help us continue to evaluate new technologies and find the best tools for the job at hand
• 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)
• Develop and manage data scrapers: You will develop new data scrapers that consume data from 100’s of sources across healthcare
• Architect and build our data ingestion framework: You will design and build a data collection framework that will serve as the foundation for our data collection engine.
• Develop Transparency: Provide visibility into how our collectors are performing, how long they take, what issues are popping up so we can quickly troubleshoot.
• Identifying Engineering Bottlenecks: Diagnosing problems we see across engineers building and maintaining collectors so that we can better simplify our operations. 
• 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