Senior Software Engineer II - Ingestion AI Engineer
- Role
- Data Engineering
- Experience
- Senior
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior software engineer for AI-assisted healthcare data ingestion. Focuses on handling variable external data formats and building secure, maintainable, scalable systems.
Within Data Ingestion at Aledade we have two major problems: 1) Scale, 2) Variability. As an Ingestion AI Engineer at Aledade, you will be focused on the variability problem. Leveraging cutting edge AI tools you will design systems that handle the variability of data received from external sources. Within healthcare, while there are format standards, they are loosely followed and in many cases for the data we receive, no standard exists. Handling hundreds/thousands of disparate formats quickly is a challenge. The faster we are able to stand up new data feeds, the more information we have about our patient population, the better care we enable our providers to render. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.
What you'll do
- Focus on the variability problem within Data Ingestion
- Leverage cutting edge AI tools to design systems that handle the variability of data received from external sources
- Handle hundreds/thousands of disparate formats quickly
- Stand up new data feeds faster to provide more information about the patient population
What they require
- Know that writing new code is not always the solution to a problem
- When technological changes are needed, create secure, maintainable, performant, correct, scalable, and stable solutions to complex and unique challenges in healthcare
- Embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value