Description:

Refine the analytics engine to extract more nuanced insights from patient records using proprietary tools and advanced statistical methods.
Streamline recurring calculations, enhance data transmission and storage methods for in-depth analysis at each stage of the analytics pipeline.
Improve architecture for better maintainability, testability, and cost-effectiveness.
Implement Single Sign-On (SSO) across organizational applications using a federated login solution.
Develop and integrate a regression testing framework into the analytics stack for robustness and reliability.

Requirements:

12-15+ years of full-stack development experience, focusing on backend and cloud-based solutions.
Proficiency in Python and experience with Node.js for AWS Lambda functions.
Familiarity with React and strong expertise in AWS services (Lambda, DynamoDB, Amplify, Cognito, Step Functions, CDK).
Experience with ETL/ELT processes, AirFlow, dbt, database technologies (Postgres, DynamoDB), and Snowflake.
Bachelor’s or Master’s in Computer Science, Engineering, or related field, or equivalent experience.
Strong problem-solving skills, independence in a fast-paced remote environment, excellent communication, and team collaboration skills.
Experience in health tech domain, especially in hospital billing systems, is advantageous.