Clinical Data Engineer: EHR Pipelines & Dashboards

Cytovale

Northern (KY)

Hybrid

USD 90,000 - 120,000

Full time

9 days ago

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Job summary

Cytovale is seeking a Clinical Data Engineer within the Medical Affairs department to develop and manage data pipelines for daily and weekly EHR extracts, migrate data into data warehouses, and build dashboards to monitor IntelliSepsolution performance and its impact on patient outcomes and hospital reimbursement.

You will handle PHI under HIPAA, maintain code and data versioning, and support post-implementation data analysis for customers with strong analytical and cloud capabilities.

Qualifications

  • Bachelor’s degree in computer science, electrical engineering, or related field.
  • 3+ years of industry related experience, ideally working with EHR or clinical data.
  • Strong analytical skills with the ability to interpret and present data effectively.

Responsibilities

  • Develop and maintain ELT/ETL pipelines for daily and weekly EHR data extracts.
  • Migrate structured CSV data into databases/data warehouse/datalake to enable efficient querying.
  • Develop dashboards to track performance and impact of the IntelliSepsolution on outcomes and reimbursements.
  • Standardize tables and data artifacts toward a canonical data schema.
  • Develop documentation and methodologies for infrastructure.
  • Handle PHI and sensitive data per HIPAA and Cytovale policies with proper access controls.

Skills

Analytical skills
Data interpretation

Education

Bachelor’s degree in computer science, electrical engineering, or related field

Tools

AWS
GCP
Azure
dbt

Job description

Cytovale is seeking a Clinical Data Engineer within the Medical Affairs department to develop and manage data pipelines for daily and weekly EHR extracts, migrate data into data warehouses, and build dashboards to monitor IntelliSepsolution performance and its impact on patient outcomes and hospital reimbursement.

You will handle PHI under HIPAA, maintain code and data versioning, and support post-implementation data analysis for customers with strong analytical and cloud capabilities.

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