Artmac
Senior Data Engineer - Microsoft Fabric & Azure Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer specializing in Microsoft Fabric and Azure Analytics, located in Redmond, Washington. The contract is W2/C2C, requiring 9-18 years of experience, expertise in Azure technologies, and strong skills in SQL, Python, and data engineering.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#Azure ADLS (Azure Data Lake Storage) #Azure SQL #Security #Storage #XML (eXtensible Markup Language) #ADLS (Azure Data Lake Storage) #Data Lake #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #BI (Business Intelligence) #Microsoft Azure #Data Pipeline #Microsoft Power BI #Scala #Azure #Dataflow #Data Engineering #ADF (Azure Data Factory) #Data Modeling #Datasets #Metadata #SQL (Structured Query Language) #Data Quality #Python #Consulting #PySpark #JSON (JavaScript Object Notation) #Azure Data Factory #Visualization #Programming #AI (Artificial Intelligence)
Role description
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : Senior Data Engineer – Microsoft Fabric & Azure Analytics
Job Type : W2/C2C
Experience : 9 – 18 years
Location : Redmond, Washington
Responsibilities
• 7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.
• Expertise in Microsoft Fabric: Lakehouse, Dataflows Gen2, Pipelines, Notebooks.
• Strong experience with Azure Data Factory, Azure SQL, and Azure Data Lake Storage Gen2.
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Experience with conversational AI platforms or integration with AI-driven analytics.
• Knowledge of multi-agent orchestration and federated query systems.
• Strong track record of scaling data pipelines and optimizing compute/storage performance.
• Proven ability to build metadata-driven architectures and reusable components.
• Proficiency in Power BI or other visualization and reporting tools.
• Strong programming skills in SQL, Python, PySpark, and/or Scala.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Solid understanding of data modeling, governance, security, and best practices.
• Design, implement, and manage ETL/ELT pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, Warehouse, SQL) and Azure Data Factory.
• Build and maintain metadata-driven Lakehouse architectures with threaded datasets to support multiple data consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for a central “uber” agent capable of querying across agents to answer customer questions.
• Enable interactive analytics and AI-driven insights via Power BI, Azure OpenAI, and other tools.
• Ensure data quality, lineage, security, and governance across all ingestion and transformation processes.
• Collaborate closely with product, analytics, and AI teams to understand business requirements and deliver scalable solutions.
• Optimize storage, compute, and pipeline performance while balancing cost-efficiency.
• Document best practices, standards, and reusable components to enable long-term maintainability.
Qualification
• Bachelor's degree or equivalent combination of education and experience.
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : Senior Data Engineer – Microsoft Fabric & Azure Analytics
Job Type : W2/C2C
Experience : 9 – 18 years
Location : Redmond, Washington
Responsibilities
• 7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.
• Expertise in Microsoft Fabric: Lakehouse, Dataflows Gen2, Pipelines, Notebooks.
• Strong experience with Azure Data Factory, Azure SQL, and Azure Data Lake Storage Gen2.
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Experience with conversational AI platforms or integration with AI-driven analytics.
• Knowledge of multi-agent orchestration and federated query systems.
• Strong track record of scaling data pipelines and optimizing compute/storage performance.
• Proven ability to build metadata-driven architectures and reusable components.
• Proficiency in Power BI or other visualization and reporting tools.
• Strong programming skills in SQL, Python, PySpark, and/or Scala.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Solid understanding of data modeling, governance, security, and best practices.
• Design, implement, and manage ETL/ELT pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, Warehouse, SQL) and Azure Data Factory.
• Build and maintain metadata-driven Lakehouse architectures with threaded datasets to support multiple data consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for a central “uber” agent capable of querying across agents to answer customer questions.
• Enable interactive analytics and AI-driven insights via Power BI, Azure OpenAI, and other tools.
• Ensure data quality, lineage, security, and governance across all ingestion and transformation processes.
• Collaborate closely with product, analytics, and AI teams to understand business requirements and deliver scalable solutions.
• Optimize storage, compute, and pipeline performance while balancing cost-efficiency.
• Document best practices, standards, and reusable components to enable long-term maintainability.
Qualification
• Bachelor's degree or equivalent combination of education and experience.
