Data Engineer
Core
Architect and operate data infrastructure to feed real-time ML models and healthcare analytics with high availability and low latency.
Role type
Senior Data Engineer (Healthcare/ML Infrastructure)
Builds
End-to-end data pipelines, high-performance analytical storage, and MLOps automation for healthcare claims and clinical data.
Domain
Healthcare technology, specifically claims processing, clinical notes, and ML model deployment.
Deliverable
production ML models | infrastructure
Required skills
Azure Data Factory, Azure Databricks, Azure Synapse, ClickHouse, Python, SQL, PyTorch, TensorFlow, MLflow, Kubeflow, HL7, FHIR, HITRUST/HIPAA compliance
Preferred skills
Terraform, Bicep, Kafka, Azure Event Hubs, financial analytics
Technologies
Azure, ClickHouse, Python, SQL, PyTorch, TensorFlow, MLflow, Kubeflow, Kafka, Terraform, Bicep
Responsibilities
Design and maintain end-to-end data pipelines on Azure; manage and optimize ClickHouse for rapid data ingestion; structure data environments for the full ML lifecycle; implement automated CI/CD pipelines for model deployment; develop scalable frameworks to ingest diverse healthcare data sources; ensure data structures adhere to HITRUST/HIPAA standards.
Seniority
Senior, hands-on IC