AWS Healthcare Data Engineer
RAPID EAGLE INC · United States · $114K–$146K/yr
IT Services and IT Consulting · 11-50 employees
4 h ago
Remote
Senior (5-10 yrs)
Full-time
United States
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About the role
Design and develop production-ready ML and LLM applications while building scalable pipelines on Databricks and AWS. Implement LLMOps, manage cluster orchestration, and develop NLP solutions for complex healthcare data.
What they look for
Python
Machine Learning Engineering
LLMOps
Databricks
AWS
SQL
Natural Language Processing
Cluster & Job Orchestration
Scalable Compute Orchestration
CI/CD Pipelines
Git
PHI/HIPAA Compliance
HL7 ADT
Healthcare Data
MLflow
Docker/Kubernetes
Requirements
Requires extensive experience in Python, AWS, Databricks, and machine learning engineering within a healthcare context. Must have expertise in HIPAA-compliant data handling and HL7 ADT message formats.
Benefits
401(k) matching
Dental insurance
Health insurance
Full description
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
AWS Healthcare Data Engineer 100% Remote Role
KEY 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.
REQUIRED SKILLS & EXPERIENCE
- Python
- Machine Learning Engineering (MLE)
- LLMOps
- Databricks
- AWS
- SQL
- Natural Language Processing (NLP)
- Cluster & Job Orchestration
- Scalable Compute Orchestration
- Automated CI/CD Pipelines
- Git
MUST HAVE
- PHI / HIPAA-compliant data handling practices
- HL7 ADT message format knowledge
- Recent experience in Healthcare data domain
NICE TO HAVE
- MLflow
- Docker/Kubernetes
- FHIR
- RAG
Vector Databases
This is a remote position.
