Nasscomm
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, remote for 3.5 months, with a pay rate of "unknown." Key skills include Snowflake, SQL, Azure Data Factory, and API integration. Finance industry experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 15, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Kafka (Apache Kafka) #Automation #Data Layers #Snowflake #Unit Testing #Azure #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Deployment #SQL (Structured Query Language) #ADLS (Azure Data Lake Storage) #Azure Data Factory #Data Pipeline #UAT (User Acceptance Testing) #API (Application Programming Interface)
Role description
Role: Sr. Data Engineer
Location: Remote
Duration: 3.5 Months
Scope : Role Summary-The Data Engineer will serve as a hands-on delivery resource responsible for designing, building, testing, and promoting data pipelines and data products that support Cambridge’s Snowflake-based data platform. This role will work across ingestion, transformation, API integration, delta processing, and production support to deliver prioritized use cases for the Cambridge Data Program.
Responsibilities
• Build and maintain source-to-target pipelines using Azure Data Factory, ADLS, and Snowflake to support bronze, silver, and gold data layers.
• Develop and enhance Snowflake objects and transformation logic, including tables, views, stages, and stored procedures for client, account, compensation, and other priority use cases.
• Support API and integration delivery, including API payload updates, APIM-related work, Azure Functions connectivity, and test automation.
• Implement and support Kafka / delta / CDC processing for ongoing client and account data movement and near-real-time integration patterns.
• Execute testing, validation, and promotion activities across dev, UAT, and production, including QA support, unit testing, and deployment readiness.
Skills - Must Have
• Ideal Candidate Profile
• Strong experience with Snowflake, SQL, ADF, ADLS, APIs, and modern data pipeline delivery.
• Comfortable acting as a hands-on builder who can move from design to implementation to testing and deployment.
Skills - Nice to Have
• Finance company experience
Role: Sr. Data Engineer
Location: Remote
Duration: 3.5 Months
Scope : Role Summary-The Data Engineer will serve as a hands-on delivery resource responsible for designing, building, testing, and promoting data pipelines and data products that support Cambridge’s Snowflake-based data platform. This role will work across ingestion, transformation, API integration, delta processing, and production support to deliver prioritized use cases for the Cambridge Data Program.
Responsibilities
• Build and maintain source-to-target pipelines using Azure Data Factory, ADLS, and Snowflake to support bronze, silver, and gold data layers.
• Develop and enhance Snowflake objects and transformation logic, including tables, views, stages, and stored procedures for client, account, compensation, and other priority use cases.
• Support API and integration delivery, including API payload updates, APIM-related work, Azure Functions connectivity, and test automation.
• Implement and support Kafka / delta / CDC processing for ongoing client and account data movement and near-real-time integration patterns.
• Execute testing, validation, and promotion activities across dev, UAT, and production, including QA support, unit testing, and deployment readiness.
Skills - Must Have
• Ideal Candidate Profile
• Strong experience with Snowflake, SQL, ADF, ADLS, APIs, and modern data pipeline delivery.
• Comfortable acting as a hands-on builder who can move from design to implementation to testing and deployment.
Skills - Nice to Have
• Finance company experience
