Call Quest Solution
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Associate Data Engineer with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Key skills include Snowflake, Microsoft Azure, ETL/ELT pipelines, and SQL. Experience with Azure Data Lake Storage is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Azure Data Factory #Data Science #Azure Machine Learning #Data Lake #Storage #Azure DevOps #Azure ADLS (Azure Data Lake Storage) #Azure #ADLS (Azure Data Lake Storage) #DevOps #Python #Programming #ML (Machine Learning) #Synapse #Datasets #Databases #Scala #Cloud #Clustering #Data Pipeline #GitHub #"ETL (Extract #Transform #Load)" #Security #Logging #Microsoft Azure #Data Analysis #Deployment #Data Quality #Version Control #Data Engineering #SQL (Structured Query Language) #Monitoring #Snowflake #Databricks #Vault #ADF (Azure Data Factory)
Role description
Position Overview
We are seeking an Associate Data Engineer with strong experience in Snowflake and Microsoft Azure to design, build, and optimize scalable cloud-based data solutions. This role focuses on developing robust data pipelines, ensuring data quality, and enabling high-performance analytics for business stakeholders.
Key Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and related Azure services
• Build and manage Snowflake objects including databases, schemas, tables, views, streams, tasks, and stored procedures
• Integrate data from multiple sources into Azure Data Lake Storage (ADLS) and Snowflake (structured & semi-structured)
• Implement data quality checks, monitoring, and error handling across pipelines
• Optimize performance and cost across Snowflake and Azure (query tuning, clustering, warehouse sizing)
• Apply security and governance best practices (Azure RBAC, Key Vault, networking, Snowflake roles/access controls)
• Collaborate with data analysts, data scientists, and business teams to deliver end-to-end data solutions
• Leverage CI/CD tools (Azure DevOps, GitHub Actions) for deployment, version control, and testing
• Monitor pipelines using Azure tools (Azure Monitor, Log Analytics) and Snowflake performance insights
Required Qualifications
• Hands-on experience with Snowflake (advanced SQL, performance tuning, streams, tasks, stored procedures)
• Strong experience building production-grade data pipelines on Microsoft Azure (ADF required)
• Proficiency in SQL and at least one programming language (Python or PowerShell)
• Solid understanding of data warehousing, dimensional modeling, and ETL/ELT concepts
• Experience with Azure Data Lake Storage (ADLS) and Snowflake integration
• Familiarity with monitoring/logging tools in Azure and Snowflake
Preferred Qualifications
• Experience with Azure Synapse, Databricks, or Azure Functions
• Exposure to AI/ML data pipelines (feature engineering, model training datasets, inference pipelines)
• Familiarity with Azure Machine Learning, Cognitive Services, or Azure OpenAI
Position Overview
We are seeking an Associate Data Engineer with strong experience in Snowflake and Microsoft Azure to design, build, and optimize scalable cloud-based data solutions. This role focuses on developing robust data pipelines, ensuring data quality, and enabling high-performance analytics for business stakeholders.
Key Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and related Azure services
• Build and manage Snowflake objects including databases, schemas, tables, views, streams, tasks, and stored procedures
• Integrate data from multiple sources into Azure Data Lake Storage (ADLS) and Snowflake (structured & semi-structured)
• Implement data quality checks, monitoring, and error handling across pipelines
• Optimize performance and cost across Snowflake and Azure (query tuning, clustering, warehouse sizing)
• Apply security and governance best practices (Azure RBAC, Key Vault, networking, Snowflake roles/access controls)
• Collaborate with data analysts, data scientists, and business teams to deliver end-to-end data solutions
• Leverage CI/CD tools (Azure DevOps, GitHub Actions) for deployment, version control, and testing
• Monitor pipelines using Azure tools (Azure Monitor, Log Analytics) and Snowflake performance insights
Required Qualifications
• Hands-on experience with Snowflake (advanced SQL, performance tuning, streams, tasks, stored procedures)
• Strong experience building production-grade data pipelines on Microsoft Azure (ADF required)
• Proficiency in SQL and at least one programming language (Python or PowerShell)
• Solid understanding of data warehousing, dimensional modeling, and ETL/ELT concepts
• Experience with Azure Data Lake Storage (ADLS) and Snowflake integration
• Familiarity with monitoring/logging tools in Azure and Snowflake
Preferred Qualifications
• Experience with Azure Synapse, Databricks, or Azure Functions
• Exposure to AI/ML data pipelines (feature engineering, model training datasets, inference pipelines)
• Familiarity with Azure Machine Learning, Cognitive Services, or Azure OpenAI
