Insight Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Richmond, VA, offering a 12-month contract. Key requirements include 5+ years in data engineering, proficiency in Python, and experience with Azure Data Factory and Databricks. On-site work is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
March 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Richmond, VA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Azure #ADF (Azure Data Factory) #Data Engineering #Scala #Python #Data Architecture #Databricks #Azure Data Factory #Data Pipeline #Cloud
Role description
Position: Data Engineer
Location: Richmond, VA
Duration: 12-month contract with potential extensions/conversion to permanent
Overview:
Insight Global looking for a Senior Data Engineer in Richmond, VA to design, build, and optimize cloud data pipelines that power analytics and business operations. In this role, you’ll develop robust ETL/ELT workflows using Python, Azure Data Factory (ADF), and Databricks, enabling reliable, scalable movement and transformation of data across platforms. You’ll partner with stakeholders to translate requirements into production-ready solutions and help evolve modern cloud-based data architecture and workflows
Requirements:
• 5+ years of experience in data engineering roles.
• Strong proficiency in Python, especially for ETL development.
• Hands-on experience with Azure Data Factory and Databricks.
• Solid understanding of cloud-based data architecture and workflows.
Position: Data Engineer
Location: Richmond, VA
Duration: 12-month contract with potential extensions/conversion to permanent
Overview:
Insight Global looking for a Senior Data Engineer in Richmond, VA to design, build, and optimize cloud data pipelines that power analytics and business operations. In this role, you’ll develop robust ETL/ELT workflows using Python, Azure Data Factory (ADF), and Databricks, enabling reliable, scalable movement and transformation of data across platforms. You’ll partner with stakeholders to translate requirements into production-ready solutions and help evolve modern cloud-based data architecture and workflows
Requirements:
• 5+ years of experience in data engineering roles.
• Strong proficiency in Python, especially for ETL development.
• Hands-on experience with Azure Data Factory and Databricks.
• Solid understanding of cloud-based data architecture and workflows.
