Data Engineer
MedReview Inc.Highlight
Summary
About the Role
About You
- 5+ years of experience in data engineering with proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse.
- Proven experience managing and tuning ClickHouse or similar columnar databases.
- Expert-level skills in Python and SQL.
- 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 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.
MedReview is a different type of payment integrity company. As a physician-led organization, our doctors review and document every claim we reassign, resulting in the highest savings per review and the lowest appeal overturn rate in the industry. Our advanced algorithms are enriched by machine learning and decades of clinical and claims data, enabling us to target claims with the highest potential for inaccuracy and abuse. With a passion for ensuring claims fairly represent the care provided, MedReview offers pre- and post-pay billing audits with clinical reviews that save millions of dollars a year for our clients. Our full range of services include industry-leading solutions in payment integrity, utilization management and quality assurance.