Nasscomm
Senior Data Engineer(w2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer (W2) for a 400-hour contract, remote work. Key skills include Snowflake, SQL, Azure Data Factory, and Kafka. Experience in ETL/ELT development and data governance is required, preferably in the financial services domain.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #Data Lake #Data Engineering #Data Governance #Storage #Deployment #Azure Data Factory #Kafka (Apache Kafka) #SQL (Structured Query Language) #ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Azure ADLS (Azure Data Lake Storage) #Snowflake #Automation #Azure #Data Pipeline #ADLS (Azure Data Lake Storage)
Role description
We are hiring an experienced Data Engineer to join a high-impact enterprise data program focused on building modern data pipelines, Snowflake data products, and real-time integrations.
📍 Location: Remote
⏳ Duration: 400 Hours (Contract)
Responsibilities
• Build and maintain ETL/ELT data pipelines
• Develop Snowflake objects, SQL, stored procedures, and transformation logic
• Implement Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) solutions
• Develop API and Kafka-based integrations
• Support CDC, data validation, deployment, and production readiness
• Apply data quality, governance, masking, and PII handling best practices
Required Skills
• Snowflake
• SQL
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Kafka
• API Integrations
• ETL / ELT Development
• Data Pipeline Development
• Stored Procedures
• Data Quality & Validation
• Production Deployment Support
• PII Data Handling
Nice to Have
• Azure Functions
• Azure API Management (APIM)
• CDC / Delta Processing
• Data Governance
• Data Masking & Tagging
• QA/Test Automation
• Enterprise Data Platform experience
• Financial Services domain
We are hiring an experienced Data Engineer to join a high-impact enterprise data program focused on building modern data pipelines, Snowflake data products, and real-time integrations.
📍 Location: Remote
⏳ Duration: 400 Hours (Contract)
Responsibilities
• Build and maintain ETL/ELT data pipelines
• Develop Snowflake objects, SQL, stored procedures, and transformation logic
• Implement Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) solutions
• Develop API and Kafka-based integrations
• Support CDC, data validation, deployment, and production readiness
• Apply data quality, governance, masking, and PII handling best practices
Required Skills
• Snowflake
• SQL
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Kafka
• API Integrations
• ETL / ELT Development
• Data Pipeline Development
• Stored Procedures
• Data Quality & Validation
• Production Deployment Support
• PII Data Handling
Nice to Have
• Azure Functions
• Azure API Management (APIM)
• CDC / Delta Processing
• Data Governance
• Data Masking & Tagging
• QA/Test Automation
• Enterprise Data Platform experience
• Financial Services domain
