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Data Platform Software Engineering Co - op

Develop high-volume data pipelines to unify healthcare data sources efficiently
Boston
Internship
$28 USD / hour
yesterday
Zus Health

Zus Health

A platform providing shared development infrastructure for digital health applications, aiming to streamline data integration and interoperability.

Data Platform Software Engineering Co-op

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

We are looking for an eager software engineering co-op to help build the next generation of healthtech tools. This co-op will be part of the Data Acquisition team. This team is responsible for collecting health data from a broad range of internal and external sources and making that data useful for users of the Zus platform. The engineer joining this team will help build software that interacts with external health data networks and first party systems to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data. The ideal candidate will be excited to take on the challenge of unifying diverse health care data sources to bring a clear picture of patient needs to our customers in ways that the developers of said data sources never thought or cared about.

You will work on data pipelines that operate on large scale data using a variety of AWS services (Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice, although we also have some components written in JavaScript/TypeScript and Python. The team is responsible for deploying, maintaining, and operating its pipelines and services.

As part of our team you will

  • Roll up your sleeves and build production-ready technology
  • Collaborate with your colleagues to build high quality solutions that scale

You are a good fit because you demonstrate

  • The ability to overcome challenging obstacles independently
  • The self-awareness to recognize when outside assistance is needed
  • The desire to learn about building software in a professional environment
  • The willingness to incorporate feedback into your work
  • The ability to write clean code
  • A love of solving complex problems
  • A self-starter attitude that shows that you are ready for the fast, and sometimes unstructured, nature of an early startup
  • Located in the Boston, MA; Dallas, TX; Philadelphia, PA; or Portland, ME area and willing to join us in the office or regularly meet with a local mentor on a regular basis for collaborative work

It would be awesome if you were

  • Interested in working with healthcare data and APIs
  • Able to work on a co-op from July through December

$28 - $28 an hour

We will offer you...

• Competitive compensation that reflects the value you bring to the team

• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Platform Software Engineering Co - op
Boston
$28 USD / hour
Engineering
About Zus Health
A platform providing shared development infrastructure for digital health applications, aiming to streamline data integration and interoperability.