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Platform Data Engineer

Our Mission

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?

 

The Opportunity

As a Data Platform Engineer you will have the opportunity to build technologies that the healthcare industry has never thought possible.  Your software will enable collaboration and transparency across institutions throughout the industry.  You will work with an interdisciplinary team of brilliant, dedicated, and helpful co-workers to solve problems at a level of complexity and scale that is unique to healthcare.  And you’re going to write code… lots and lots of code.

The Data Platform Engineer will work with industry Claims and Clinical data, processing and enabling collaboration across that data to provide analyses and insights to insurance providers and care providers. You can build the platform that will bring secure, scalable, and performant computation to Value-Based Care.  You can build a platform that allows them to build data-driven, stunningly-visual, healthcare-focused applications to bring solutions to people who need them. You can build the engines that take claims data and patient data to make them useful for improving the quality of care for everyone.

 

Attributes

  • You are ready to solve complex problems everyday
  • Adaptable- You are able to operate autonomously within ambiguity
  • Channeled creativity – you can be expansive in your brainstorming, but focused
  • Also you stay focused, and nothing falls through the cracks on your watch.
  • You are patient, level-headed, and cool under pressure

Skills

  • Ability to model complex relationships to support a variety of analytics queries and approaches
  • Strong quantitative and qualitative analytical thinking
  • Capable of working well with multiple teams and competing requirements
  • You can explain just about anything to anyone, and you’re comfortable communicating in writing and in person

Experiences

  • At least 3 years experience in data ingestion, ETL pipelines
  • Comfortable with both functional and objected-oriented programming principles
  • Experience with Scala or Java development
  • Background in modeling complex data in relational databases
  • Experience with Spark or other distributed data processing engines
  • Cloud based development
  • Git or other distributed source code control
  • Healthcare background is a plus
  • Python experience is a plus
  • Time at a smaller, high growth company is helpful

 

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