With wasteful healthcare spending in the U.S. estimated at $935 billion, we take our role as a healthcare innovator very seriously. Simply put, Apervita is on a mission to change the face of healthcare. We intend to do this by continuously improving the value of healthcare delivery through performance, measurements and insights.
Recognized as the trusted source for performance measurement through our proprietary cloud-based rules engine, we address the complexities of an industry transitioning to accountable-based care arrangements. Serving one of the nation’s largest regulatory organizations, more than 1-in-2 U.S. hospitals and several nationally recognized health plans, Apervita conducts more than 10 billion value-based computations annually, providing vital insights that enable collaboration, build trust and advance value-centric care.
As we move into our next phase of growth, we’re looking for smart, passionate and fearless professionals to help us pursue our mission. We’ve earned the trust of our investors, including Optum Ventures, Baird Capital, Pritzker Group Venture Capital and Math Venture Partners, to further grow and scale our business in 2020. We’ve also been recognized as an industry leader by Gartner, CIOReview, Healthcare Tech Outlook, and Healthcare Informatics. Always in search of the next “first,” Apervita was recently named the first company to certify electronic clinical quality measures from the National Committee for Quality Assurance (NCQA) using our proprietary clinical quality language (CQL) ingestion engine. This is a huge step forward in healthcare quality innovation and an indication of where we’re headed. We’re clearly on the cusp of something big and bold and can’t wait to see what happens next.
Are you up to the challenge?
About the role
The Data Engineer is responsible for deploying and managing ETL/ELT pipelines, jobs, orchestration frameworks, and ensuring data quality. The charter of the data engineering team is to optimize how our customers data turn into insights as fast as possible meeting customer SLA’s. The data engineer can expect to work closely with business analysts, data scientists, analytics experts and developers to build the ETL/RLT pipelines, and data models. The data engineer will also have the opportunity to inform the design, implementation, and best practices or this system including deployment of modern tools.
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