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Data Engineer at MedReview. Location Information: USA. Position Summary: . MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment into a rapid-acquisition engine capable of feeding real-time ML models, innovation, and operations while maintaining rigorous healthcare compliance standards. . Responsibilities:. Pipeline Architecture:.  Design, implement, and maintain end-to-end data pipelines on . Azure. , ensuring high availability and low latency for healthcare claim and analytics processing.. High-Performance Storage:.  Manage and optimize . ClickHouse.  as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets.. ML Data Readiness:.  Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference.. MLOps Integration:.  Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining.. Rapid Acquisition:.  Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity.. Security & Compliance:.  Ensure all data structures and processes adhere to . HITRUST/HIPAA.  standards, collaborating with IT and the leads for technical efforts for . HITRUST certification.  readiness.. Required Skills & Experience. Cloud Expertise:.  5+ years of experience in data engineering, with deep proficiency in . Azure Data Factory, Azure Databricks, or Azure Synapse. .. OLAP Mastery:.  Proven experience managing and tuning . ClickHouse.  (or similar columnar databases like Druid/Pinot) for massive datasets.. Programming:.  Expert-level . Python.  and . SQL.  skills.. ML Engineering:.  Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning).. Healthcare Domain:.  Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of . HITRUST/HIPAA.  security requirements.. Scale-up Mindset:.  Ability to build "v1" processes while designing for 10x growth.. Preferred Qualifications:. Experience with Infrastructure as Code (Terraform, Bicep).. Knowledge of stream processing (Kafka, Azure Event Hubs).. Background in financial or payment integrity analytics.. Salary: 105,000 - 115,000