Compunnel Inc.
Data Engineer -- SINDC5796102
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a long-term contract based in Bellevue, WA (remote). Key skills include SQL, Azure Data Factory, data warehousing, and BI tools like Power BI. Experience with large datasets and end-to-end data pipelines is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
More than 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
#BI (Business Intelligence) #Storage #Data Pipeline #Microsoft Power BI #Datasets #SQL Server #Big Data #Data Analysis #Synapse #Azure #ADF (Azure Data Factory) #Azure Data Factory #SQL (Structured Query Language) #ADLS (Azure Data Lake Storage) #Data Engineering
Role description
Role: Data Engineer
Location: Bellevue, WA (Remote)
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: Data Engineer
Location: Bellevue, WA (Remote)
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
