

Compunnel Inc.
Azure Data Engineer -- SINDC5698826
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Bellevue, WA, on a long-term contract. Key skills include SQL, Azure Data Factory, Data Warehousing, and BI tools like Power BI. Strong experience in data analysis and pipeline design is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bellevue, WA
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🧠 - Skills detailed
#Storage #Synapse #Data Analysis #Big Data #Azure #SQL (Structured Query Language) #Azure Data Factory #ADF (Azure Data Factory) #Datasets #Microsoft Power BI #ADLS (Azure Data Lake Storage) #Data Pipeline #SQL Server #Data Engineering #BI (Business Intelligence)
Role description
Role: Azure Data Engineer
Location: Bellevue, WA (Hybrid)
Duration: Long Term Contract
Job Description:
• Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis and strong knowledge of Data Warehousing Concepts
• Customer facing code development and review of development
• Knowledge of Azure Data Factory, ADLS, Fabrics, Synapse
• Proven experience in strong Data Analysis dealing with large volume of datasets
• Proven experience in Design Implementation of end-end data pipelines
• Should have strong knowledge of Data Warehousing concepts
• Should have very good experience in BI tools Reporting tools like Power BI
• Microsoft Big Data Technologies
• Knowledge on Azure VM Storage
Role: Azure Data Engineer
Location: Bellevue, WA (Hybrid)
Duration: Long Term Contract
Job Description:
• Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis and strong knowledge of Data Warehousing Concepts
• Customer facing code development and review of development
• Knowledge of Azure Data Factory, ADLS, Fabrics, Synapse
• Proven experience in strong Data Analysis dealing with large volume of datasets
• Proven experience in Design Implementation of end-end data pipelines
• Should have strong knowledge of Data Warehousing concepts
• Should have very good experience in BI tools Reporting tools like Power BI
• Microsoft Big Data Technologies
• Knowledge on Azure VM Storage






