AWS Healthcare Data Engineer

RAPID EAGLE INC

6d•$55 - $70•Remote

About The Position

This is a 100% remote role for an AWS Healthcare Data Engineer. The position involves designing and developing production-ready ML and LLM applications, building scalable ML pipelines on Databricks and AWS, and implementing LLMOps for model lifecycle management. The role also includes developing cluster and job orchestration, automated CI/CD pipelines for ML workloads, and NLP solutions for healthcare data. Collaboration with architects, data engineers, and QA teams is expected.

Requirements

Python
Machine Learning Engineering (MLE)
LLMOps
Databricks
AWS
SQL
Natural Language Processing (NLP)
Cluster & Job Orchestration
Scalable Compute Orchestration
Automated CI/CD Pipelines
Git
PHI / HIPAA-compliant data handling practices
HL7 ADT message format knowledge
Recent experience in Healthcare data domain

Nice To Haves

MLflow
Docker/Kubernetes
FHIR
RAG
Vector Databases

Responsibilities

Design and develop production-ready ML and LLM applications using Python.
Build scalable ML pipelines on Databricks and AWS.
Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management.
Develop cluster and job orchestration for large-scale processing.
Build automated CI/CD pipelines for ML workloads.
Develop NLP solutions for structured and unstructured healthcare data.
Optimize scalable compute orchestration to eliminate processing bottlenecks.
Collaborate with architects, data engineers, and QA teams.