Data Engineer

🕒 February 12

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MedReview Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚕️ Healthcare Insurance

💸 Finance

Healthcare Insurance • Finance

MedReview Inc. is a leading provider of advanced payment integrity solutions, specializing in healthcare claims. They work with a wide range of clients, including health plans, government agencies, and payors, to reduce unnecessary waste and save billions of dollars. Their team of highly trained physicians, registered nurses, and certified coders conduct thorough clinical and coding reviews to identify inaccuracies in healthcare claims. MedReview employs proprietary algorithms to analyze complex data and detect suspicious payment trends, offering a unique blend of clinical expertise and advanced technology to maximize efficiencies and improve healthcare cost management.

📋 Description

• 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. • Structure data environments to support the full ML lifecycle. • 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 with high velocity. • Ensure all data structures and processes adhere to HITRUST/HIPAA standards.

🎯 Requirements

• 5+ years of experience in data engineering • Deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse • Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) • 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) • Strong understanding of HITRUST/HIPAA security requirements • Ability to build 'v1' processes while designing for 10x growth.