Remote Clinical Data Engineer - Risk Adjustment & Quality

RAZOR

New York (NY)

A distancia

USD 90.000 - 120.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
401(k) plan with 4% employer match
Paid time off and holidays
Life insurance and disability insurance

Descripción de la vacante

A data solutions provider is seeking a Data Engineer to design and build scalable data ingestion pipelines to normalize clinical data that supports quality reporting, risk adjustment, and regulatory programs. The ideal candidate should have at least 3 years of experience in data engineering, strong SQL and Python skills, and experience working with clinical data. This position is fully remote and offers competitive benefits including healthcare and a 401(k) plan.

Formación

  • 3+ years in data engineering or ETL development.
  • Strong SQL and Python skills required.
  • Experience normalizing clinical data to standard vocabularies.
  • Understanding of healthcare claims and clinical data.

Responsabilidades

  • Develop scalable ETL/ELT pipelines.
  • Normalize and map clinical data to LOINC and SNOMED CT.
  • Build data models for quality and risk adjustment reporting.
  • Maintain data lineage and traceability.

Conocimientos

Data engineering
ETL development
SQL
Python
Normalizing clinical data
Data warehouse experience
Cloud platform experience (AWS/Azure/GCP)

Educación

Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field

Herramientas

Snowflake
Databricks
Redshift
BigQuery
Airflow
dbt

Descripción del empleo

A data solutions provider is seeking a Data Engineer to design and build scalable data ingestion pipelines to normalize clinical data that supports quality reporting, risk adjustment, and regulatory programs. The ideal candidate should have at least 3 years of experience in data engineering, strong SQL and Python skills, and experience working with clinical data. This position is fully remote and offers competitive benefits including healthcare and a 401(k) plan.
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