MedReview Inc.

Data Engineer

MedReview Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AzurePythonPyTorchSQLTensorflow

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringAzure Data FactoryAzure DatabricksAzure SynapseClickHousePythonSQLML frameworksMLOps toolshealthcare data formats
Soft Skills
collaborationoptimizationproblem-solvingdesign thinking