Wall Street Consulting Services LLC
Azure Data Engineer with Fabric
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with Fabric, requiring 10+ years of experience. The contract lasts more than 6 months, with a focus on Microsoft Fabric, Azure Data Factory, PySpark, SQL, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pennsylvania, United States
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🧠 - Skills detailed
#Azure SQL #Data Lake #Security #Spark SQL #Data Architecture #Azure Data Factory #GIT #Storage #ADF (Azure Data Factory) #Microsoft Power BI #"ETL (Extract #Transform #Load)" #Monitoring #PySpark #Spark (Apache Spark) #Scala #Azure #SQL (Structured Query Language) #BI (Business Intelligence) #Data Governance #Data Engineering #Data Pipeline
Role description
Job Title: Azure Fabric Data Engineer
Employment Type: Full-Time
Experience: 10+ Years
Job Description
1. Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure Data Factory.
1. Build and manage Lakehouse, OneLake, and Delta tables for enterprise data solutions.
1. Develop Spark notebooks and data transformation workflows using PySpark and SQL.
1. Integrate data from multiple sources including Azure SQL, APIs, Blob Storage, and on-premises systems.
1. Optimize data models, ETL/ELT processes, and pipeline performance for large-scale workloads.
1. Implement data governance, security, and monitoring using Microsoft Fabric, Azure AD, and Purview.
1. Collaborate with data architects, BI developers, and business stakeholders to deliver analytics solutions.
1. Strong hands-on experience with Microsoft Fabric, Azure Data Factory, PySpark, SQL, Azure Data Lake, Power BI, Git, and CI/CD is required.
Job Title: Azure Fabric Data Engineer
Employment Type: Full-Time
Experience: 10+ Years
Job Description
1. Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure Data Factory.
1. Build and manage Lakehouse, OneLake, and Delta tables for enterprise data solutions.
1. Develop Spark notebooks and data transformation workflows using PySpark and SQL.
1. Integrate data from multiple sources including Azure SQL, APIs, Blob Storage, and on-premises systems.
1. Optimize data models, ETL/ELT processes, and pipeline performance for large-scale workloads.
1. Implement data governance, security, and monitoring using Microsoft Fabric, Azure AD, and Purview.
1. Collaborate with data architects, BI developers, and business stakeholders to deliver analytics solutions.
1. Strong hands-on experience with Microsoft Fabric, Azure Data Factory, PySpark, SQL, Azure Data Lake, Power BI, Git, and CI/CD is required.
