Senior Data Engineer
Core
Build and manage robust data pipelines extracting and processing large-scale healthcare and clinical data to support AI-driven healthcare applications and generative AI copilots.
Role type
Senior Data Engineer (Healthcare & Generative AI)
Builds
Data pipelines, data lakes, and AI-enabled data orchestration systems for healthcare.
Domain
Healthcare / Generative AI / Data Engineering
Deliverable
production ML models
Required skills
Python, PostgreSQL, MongoDB, Apache Airflow, FHIR, HL7, Vector Databases (Milvus, Weaviate), LLMs, RAG, Prompt Engineering, NLP, Azure OpenAI stack, LangChain, LlamaIndex
Preferred skills
Azure technology stack, Clickhouse, Snowflake, Starburst, RESTful Web Services, Large Scale Recommendation Systems, Reinforcement Learning, Model Monitoring, CI/CD for GenAI
Technologies
Python, PostgreSQL, MongoDB, Milvus, Weaviate, Apache Airflow, Azure OpenAI, LangChain, LlamaIndex, Clickhouse, Snowflake, Starburst, FHIR, HL7
Responsibilities
Develop and optimize data pipelines for extraction, transformation, and loading of healthcare data; Manage sensitive healthcare data adhering to FHIR and HL7 standards; Use Airflow or similar tools to manage complex data and knowledge workflows including RAG and GraphRAG; Support data scientists and backend developers by integrating and maintaining data systems; Apply technical skills to address unique challenges in the healthcare sector.
Seniority
Senior, hands-on IC
