Data Engineer_W2_GA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract, offering a competitive pay rate. Candidates must have over 5 years of experience in Databricks and ETL development, particularly in healthcare data handling, Azure Data Factory, and compliance with PHI/PII regulations.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 14, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Scala #Automation #Security #Data Architecture #Data Extraction #Data Engineering #Data Pipeline #"ETL (Extract #Transform #Load)" #Python #SAP #Data Privacy #Databricks #Data Lake #Compliance #Cloud #Data Processing #Azure cloud #ADF (Azure Data Factory) #Data Bricks #Azure Data Factory #Datasets #Azure
Role description
Formal Job Description
Azure Cloud/Engineers – strong Databricks experience
• 5+ years of experience in Databricks and ETL development to design, build, and optimize robust data pipelines and ETL automation.
• Collaborate effectively with data architects, DBAs, product owners, and other stakeholders to ensure alignment on project goals, requirements, and solutions.
• Design, develop, and maintain scalable data pipelines in Azure using Python and Databricks, focusing on efficient ETL processes for large datasets.
• Build and optimize data lakes and backend architectures, ensuring smooth data extraction, transformation, and loading (ETL) across systems.
• Work with healthcare data (claims, pharma, PHI/PII), ensuring compliance with data privacy regulations and implementing security measures like tokenization.
• Leverage Azure cloud technologies, particularly Databricks, to implement large-scale data processing and analytics solutions.
• Integrate middleware solutions like MuleSoft for data processing between SAP and Databricks.
• Drive data transformation and automation tasks, focusing on scalable and efficient solutions within the engineering team.
• Familiarity with healthcare or pharma-related data, with expertise in handling sensitive data (PHI/PII) and implementing security measures such as tokenization.
Required Skills : Need someone with a very strong Azure Data Engineering background Must have Azure Data Bricks and Azure Data Factory PHI/PII or HIPPA protected data ETL automation and ETL Development
Formal Job Description
Azure Cloud/Engineers – strong Databricks experience
• 5+ years of experience in Databricks and ETL development to design, build, and optimize robust data pipelines and ETL automation.
• Collaborate effectively with data architects, DBAs, product owners, and other stakeholders to ensure alignment on project goals, requirements, and solutions.
• Design, develop, and maintain scalable data pipelines in Azure using Python and Databricks, focusing on efficient ETL processes for large datasets.
• Build and optimize data lakes and backend architectures, ensuring smooth data extraction, transformation, and loading (ETL) across systems.
• Work with healthcare data (claims, pharma, PHI/PII), ensuring compliance with data privacy regulations and implementing security measures like tokenization.
• Leverage Azure cloud technologies, particularly Databricks, to implement large-scale data processing and analytics solutions.
• Integrate middleware solutions like MuleSoft for data processing between SAP and Databricks.
• Drive data transformation and automation tasks, focusing on scalable and efficient solutions within the engineering team.
• Familiarity with healthcare or pharma-related data, with expertise in handling sensitive data (PHI/PII) and implementing security measures such as tokenization.
Required Skills : Need someone with a very strong Azure Data Engineering background Must have Azure Data Bricks and Azure Data Factory PHI/PII or HIPPA protected data ETL automation and ETL Development
