AI/ML Data Integration Developer

Overview

On Site
$1 - $2
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
100% Travel

Skills

Python
FastAPI
ETL/ELT
Kafka
GCP
OAuth2
RBAC
LangChain
CrewAI
FHIR/HL7 APIs
dbt
Snowflake
OpenAI
Vertex AI
Healthcare

Job Details

Role Summary:

Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.

Responsibilities:

  • Develop APIs and microservices in Python (FastAPI) and Node.js

  • Build ETL/ELT pipelines using Airflow/dbt from Epic EHR into Snowflake or similar

  • Integrate with real-time streaming tools (Kafka, Google Cloud Platform Pub/Sub) and FHIR APIs

  • Ensure encryption in transit, data lineage, and access control compliance (OAuth2, RBAC)

  • Build hybrid search and RAG workflows across clinical corpora

  • Manage vector database operations (e.g., Pinecone/Weaviate) for GenAI search augmentation

  • Integrate with orchestration layers for multi-agent systems using LangChain, CrewAI

Required Qualifications:

  • 4+ years in backend/data integration roles

  • Hands-on with FHIR/HL7 APIs, dbt, Snowflake, and containerized services

Preferred Qualifications:

  • Healthcare interoperability experience

  • Integration of LLM endpoints (OpenAI, Vertex AI) and model-serving APIs

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.