Note: The job is a remote job and is open to candidates in USA. Mr. C Miami Coconut Grove is seeking a Data Engineer to join their MedReview Innovation and Development team. The role involves architecting and operating data infrastructure to support healthcare analytics and machine learning initiatives while ensuring compliance with healthcare standards.
Responsibilities
- Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing
- Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets
- Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference
- Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining
- Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity
- Ensure all data structures and processes adhere to HITRUST/HIPAA standards, collaborating with IT and the leads for technical efforts for HITRUST certification readiness
Skills
- 5+ years of experience in data engineering, with deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse
- Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) for massive datasets
- Expert-level Python and SQL skills
- Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning)
- Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of HITRUST/HIPAA security requirements
- Ability to build 'v1' processes while designing for 10x growth
- Experience with Infrastructure as Code (Terraform, Bicep)
- Knowledge of stream processing (Kafka, Azure Event Hubs)
- Background in financial or payment integrity analytics
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