SCUBE
Healthcare Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Healthcare Data Engineer on a contract basis, focusing on building automated ETL pipelines and handling EHR/EMR data. Required skills include advanced Python, SQL, Git, and experience with OMOP CDM standards. Contract length and pay rate unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Pandas #GIT #Compliance #"ETL (Extract #Transform #Load)" #Data Engineering #SQL (Structured Query Language) #Python #Data Manipulation #Complex Queries #GitHub #Version Control
Role description
Job Description
Technical Work:
• Build automated ETL pipelines to process data from hospitals into OMOP CDM- compliant structures
• Write production-quality Python/SQL code to handle 100s of thousands patient records efficiently
Data Engineering Specifics:
• Map 500+ clinical variables following OMOP CDM standards
• Handle complex transformations: date harmonization, unit standardization, duplicate resolution
• Build and maintain Git-based version control for GxP/regulatory compliance
Required Technical Skills:
• Python: Advanced pandas, data manipulation, performance optimization
• SQL: Complex queries, pivot operations, performance tuning (will be tested with sample data)
• Healthcare Data: Experience with EHR/EMR data, lab results, clinical assessments
• Git: Experienced with Git/Github for version control and auditability of the code
• Common Data Model: Understanding of measurement, observation, and condition domains in OMOP CDM
Job Description
Technical Work:
• Build automated ETL pipelines to process data from hospitals into OMOP CDM- compliant structures
• Write production-quality Python/SQL code to handle 100s of thousands patient records efficiently
Data Engineering Specifics:
• Map 500+ clinical variables following OMOP CDM standards
• Handle complex transformations: date harmonization, unit standardization, duplicate resolution
• Build and maintain Git-based version control for GxP/regulatory compliance
Required Technical Skills:
• Python: Advanced pandas, data manipulation, performance optimization
• SQL: Complex queries, pivot operations, performance tuning (will be tested with sample data)
• Healthcare Data: Experience with EHR/EMR data, lab results, clinical assessments
• Git: Experienced with Git/Github for version control and auditability of the code
• Common Data Model: Understanding of measurement, observation, and condition domains in OMOP CDM
