Zus is looking to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. The Data Acquisition team needs to build software that interacts with external health data networks and first-party systems to collect patient information and load it into Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.
Requirements
- data pipelines that operate on large scale data using a variety of AWS services ( Lambda, DynamoDB, S3, etc)
- RESTful services
- 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
- write clean code
Responsibilities
- 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
- build services used by customers and internal stakeholders to request that data
- work on data pipelines that operate on large scale data using a variety of AWS services ( Lambda, DynamoDB, S3, etc)
- work on RESTful services that are used both internally and externally
- deploying, maintaining, and operating its pipelines and services
- build production-ready technology
- build high quality solutions that scale
Other
- eager software engineering co-op
- 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
- 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
