Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 10+ years of experience in the risk/financial domain, offering a contract in NYC, NY. Key skills include Python, SQL Server, Snowflake, and Databricks. On-site work is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Azure Databricks #Snowflake #Data Engineering #Data Integration #PySpark #Python #SQL (Structured Query Language) #Business Analysis #Azure #Data Quality #Agile #Databricks #"ETL (Extract #Transform #Load)" #UAT (User Acceptance Testing) #SQL Server #Spark (Apache Spark)
Role description
Senior Data Engineer (Risk / Financial Domain) – 10+ years -NYC, NY
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic Team.
The Role
Responsibilities:
• Understand technical specifications.
• Business requirements discussion with business analyst and business users.
• Python/SQL Server/Snowflake/Databricks application development and system design.
• Develop and maintain data models and schemas to support data integration and analysis.
• Implement data quality and validation checks to ensure accuracy and consistency of data.
• Execution of UT and SIT with business analysts to ensure of high-quality testing.
• Support for UAT with business users.
• Production support and maintenance of application platform.
Requirements:
• Around 10+ years IT industry experience.
• Strong communication skills.
• Agile methodology and SDLC processes.
• Design and Architecture experience.
• Experience working in global delivery model (onshore/offshore/nearshore).
• Strong problem-solving and analytical skills.
• Self-starter, collaborative team player and works with minimal guidance.
• Mandatory (Strong) Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD,Plus: PySpark.
• Financial systems/capital markets/credit risk/regulatory application development experience.
Senior Data Engineer (Risk / Financial Domain) – 10+ years -NYC, NY
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic Team.
The Role
Responsibilities:
• Understand technical specifications.
• Business requirements discussion with business analyst and business users.
• Python/SQL Server/Snowflake/Databricks application development and system design.
• Develop and maintain data models and schemas to support data integration and analysis.
• Implement data quality and validation checks to ensure accuracy and consistency of data.
• Execution of UT and SIT with business analysts to ensure of high-quality testing.
• Support for UAT with business users.
• Production support and maintenance of application platform.
Requirements:
• Around 10+ years IT industry experience.
• Strong communication skills.
• Agile methodology and SDLC processes.
• Design and Architecture experience.
• Experience working in global delivery model (onshore/offshore/nearshore).
• Strong problem-solving and analytical skills.
• Self-starter, collaborative team player and works with minimal guidance.
• Mandatory (Strong) Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD,Plus: PySpark.
• Financial systems/capital markets/credit risk/regulatory application development experience.
