GQR
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position in Manhattan, focusing on building scalable data platforms. Requires 5+ years of data engineering experience, strong Azure and Databricks skills, advanced SQL, and proficiency in Python, Scala, or C#.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
April 30, 2026
🕒 - Duration
Unknown
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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
New York, NY
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🧠 - Skills detailed
#Azure Data Factory #ADF (Azure Data Factory) #Data Quality #Python #Data Pipeline #Dataverse #DevOps #Azure DevOps #Delta Lake #Workday #Spark (Apache Spark) #Data Engineering #"ETL (Extract #Transform #Load)" #Security #Scala #SQL (Structured Query Language) #Azure #C# #Compliance #Databricks
Role description
We’re hiring a hands-on Data Engineer to build scalable data platforms across key corporate functions including Finance, Compliance, Facilities, RESO, and HCG. This is a longterm contract role, onsite in Manhattan.
What You’ll Do
• Design and optimize data pipelines using Azure + Databricks
• Build ETL/ELT workflows for structured and unstructured data
• Integrate platforms like Workday, ServiceNow, and Dataverse
• Develop data models for analytics and reporting
• Ensure data quality, governance, security, and performance
• Partner with business and tech teams to deliver enterprise solutions
What You’ll Need
• Strong Azure Data Engineering experience
• Hands-on Databricks / Spark expertise
• Advanced SQL skills
• Python, Scala, C#, or PowerShell experience
• Azure Data Factory or similar pipeline tools
• Experience with APIs, Azure Functions, and enterprise integrations
• 5+ years in data engineering
Nice to Have
Delta Lake, Azure DevOps, CI/CD, governance tools, certifications
We’re hiring a hands-on Data Engineer to build scalable data platforms across key corporate functions including Finance, Compliance, Facilities, RESO, and HCG. This is a longterm contract role, onsite in Manhattan.
What You’ll Do
• Design and optimize data pipelines using Azure + Databricks
• Build ETL/ELT workflows for structured and unstructured data
• Integrate platforms like Workday, ServiceNow, and Dataverse
• Develop data models for analytics and reporting
• Ensure data quality, governance, security, and performance
• Partner with business and tech teams to deliver enterprise solutions
What You’ll Need
• Strong Azure Data Engineering experience
• Hands-on Databricks / Spark expertise
• Advanced SQL skills
• Python, Scala, C#, or PowerShell experience
• Azure Data Factory or similar pipeline tools
• Experience with APIs, Azure Functions, and enterprise integrations
• 5+ years in data engineering
Nice to Have
Delta Lake, Azure DevOps, CI/CD, governance tools, certifications
