

Creed Staffing
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 15+ years of experience in data engineering, specializing in the banking and financial domain. Contract length is unspecified, with a pay rate of $80/hr on c2c. Work is hybrid in Hamilton Township, NJ.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Hamilton Township, NJ
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🧠 - Skills detailed
#Azure cloud #Vault #Microsoft Azure #Scala #Data Processing #Azure #Data Engineering #Azure Cosmos DB #Python #Data Pipeline #Microsoft Power BI #Cloud #Data Management #Azure ADLS (Azure Data Lake Storage) #ADLS (Azure Data Lake Storage) #ADF (Azure Data Factory) #Azure SQL Database #Azure SQL #Storage #Data Lake #AI (Artificial Intelligence) #Azure Data Factory #"ETL (Extract #Transform #Load)" #Data Integration #SQL (Structured Query Language) #BI (Business Intelligence) #Big Data #Databricks #Data Storage
Role description
Job Title: Principal Azure Data Engineer with Banking & Financial Domain Exp.
Work Location: Hamilton Township, NJ (Hybrid)
Locals with F2F Interviews.
Financial domain exp must
Pay Rate : $80/hr on c2c max
Job Description:
As an Azure Data Engineer, you will be responsible for the design, implementation, and maintenance of data solutions on the Microsoft Azure cloud platform. You will play a key role in enabling data-driven decision-making within the organization by creating and maintaining robust data pipelines, storage solutions, and data integration processes.
Required Skills:
• 15+ years of progressive experience in data engineering and enterprise data platforms
• Proficiency in SQL and Python for data processing.
• Experience with Databricks Genie, AI/BI, or generative AI enabled analytics in governed environments.
• Background in wealth management, asset management, broker dealer, or banking platforms.
• Integrate with Azure Data Lake Storage, Key Vault, Azure AD, Power BI, and related Azure services.
• Strong understanding of data management, ETL processes, and big data technologies.
• Experience with Azure data services and frameworks for data storage and processing.
• Ability to work with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
• Design and implement scalable data storage solutions using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.
• Develop and maintain data pipelines using Azure Data Factory and Microsoft fabric.
• A problem-solving mindset with attention to detail.
Job Title: Principal Azure Data Engineer with Banking & Financial Domain Exp.
Work Location: Hamilton Township, NJ (Hybrid)
Locals with F2F Interviews.
Financial domain exp must
Pay Rate : $80/hr on c2c max
Job Description:
As an Azure Data Engineer, you will be responsible for the design, implementation, and maintenance of data solutions on the Microsoft Azure cloud platform. You will play a key role in enabling data-driven decision-making within the organization by creating and maintaining robust data pipelines, storage solutions, and data integration processes.
Required Skills:
• 15+ years of progressive experience in data engineering and enterprise data platforms
• Proficiency in SQL and Python for data processing.
• Experience with Databricks Genie, AI/BI, or generative AI enabled analytics in governed environments.
• Background in wealth management, asset management, broker dealer, or banking platforms.
• Integrate with Azure Data Lake Storage, Key Vault, Azure AD, Power BI, and related Azure services.
• Strong understanding of data management, ETL processes, and big data technologies.
• Experience with Azure data services and frameworks for data storage and processing.
• Ability to work with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
• Design and implement scalable data storage solutions using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.
• Develop and maintain data pipelines using Azure Data Factory and Microsoft fabric.
• A problem-solving mindset with attention to detail.





