New York Technology Partners
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer with a contract length of "X months" and a pay rate of "$X per hour." It requires strong experience in Snowflake and Azure, advanced SQL proficiency, and expertise in building data pipelines and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta Metropolitan Area
-
🧠 - Skills detailed
#Databases #Programming #Security #Version Control #SQL (Structured Query Language) #Azure #Data Quality #Data Engineering #Scala #Data Pipeline #Microsoft Azure #Monitoring #Cloud #Data Modeling #Data Lake #Deployment #Logging #Storage #ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #Data Processing #Observability #Data Integration #Azure Data Factory #Python #Snowflake
Role description
Overview
We are seeking a Data Engineer to design, build, and optimize scalable cloud-based data solutions using Snowflake and Microsoft Azure. This role focuses on developing efficient data pipelines, robust data models, and secure, high-performing analytics capabilities.
Key Responsibilities
• Design and maintain ETL/ELT pipelines using Azure Data Factory and related Azure services
• Develop and manage Snowflake data structures including databases, schemas, tables, and stored procedures
• Integrate data from multiple sources into Azure Data Lake and Snowflake
• Ensure data quality, reliability, and performance across pipelines
• Optimize data processing and storage for cost and efficiency
• Implement security and governance best practices across Azure and Snowflake
• Collaborate with cross-functional teams to deliver data solutions
• Support CI/CD processes for deployment and version control
m
Required Qualifications
• Strong experience with Snowflake, including advanced SQL and performance tuning
• Hands-on experience building data pipelines in Azure environments
• Proficiency in SQL and a programming language such as Python or PowerShell
• Solid understanding of data warehousing and data modeling concepts
• Experience with Azure Data Lake and data integration
• Familiarity with monitoring, logging, and pipeline observability tools
Overview
We are seeking a Data Engineer to design, build, and optimize scalable cloud-based data solutions using Snowflake and Microsoft Azure. This role focuses on developing efficient data pipelines, robust data models, and secure, high-performing analytics capabilities.
Key Responsibilities
• Design and maintain ETL/ELT pipelines using Azure Data Factory and related Azure services
• Develop and manage Snowflake data structures including databases, schemas, tables, and stored procedures
• Integrate data from multiple sources into Azure Data Lake and Snowflake
• Ensure data quality, reliability, and performance across pipelines
• Optimize data processing and storage for cost and efficiency
• Implement security and governance best practices across Azure and Snowflake
• Collaborate with cross-functional teams to deliver data solutions
• Support CI/CD processes for deployment and version control
m
Required Qualifications
• Strong experience with Snowflake, including advanced SQL and performance tuning
• Hands-on experience building data pipelines in Azure environments
• Proficiency in SQL and a programming language such as Python or PowerShell
• Solid understanding of data warehousing and data modeling concepts
• Experience with Azure Data Lake and data integration
• Familiarity with monitoring, logging, and pipeline observability tools
