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Azure Data Fabric Jobs (NOW HIRING)

Machine Intelligence Technologies, LLC

$120 - $190/hr

Microsoft Fabric for analytics and integration tasks. * Spark Streaming for processing real-time ... data streams. * Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code ...

TechRuiter

$103 - $172/hr

We are seeking a highly experienced Senior Data Engineer / Data Architect with strong Microsoft Azure expertise and exposure to Microsoft Fabric. This is a part-time advisory and hands-on role ...

Quest Diagnostics

Director, Data Fabric Platform

Secaucus, NJ · On-site

$180K - $220K/yr

The Director of Data Fabric Platform will play a pivotal role in leading the strategy and execution ... Practical experience and architectural understanding of other major cloud platforms (AWS, Azure) to ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

$117K - $140K/yr

... Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable Company : Collectiv is a power BI consulting and strategy firm that provides data ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

1872 Consulting

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Proficiency in Microsoft Fabric and related technologies (e.g., Azure Data Factory, Azure Synapse ... Analytics, etc.) * Strong SQL experience * Experience with Python programming * Experience with ...

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How much do azure data fabric jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for azure data fabric in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is Azure Data Fabric?

Azure Data Fabric is a set of cloud-based tools and services provided by Microsoft Azure to enable seamless data integration, management, and analytics across various data sources and environments. It helps organizations unify their data infrastructure, making it easier to collect, store, process, and analyze data from on-premises, cloud, and hybrid sources. Azure Data Fabric typically leverages services like Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to create a comprehensive data solution. This approach helps streamline data workflows, improve data governance, and accelerate business insights.

What are the key skills and qualifications needed to thrive as an Azure Data Fabric engineer?

To thrive as an Azure Data Fabric Engineer, you need expertise in data architecture, data integration, and cloud computing, typically with a background in computer science or a related field. Proficiency with Microsoft Azure services (such as Azure Data Factory, Synapse Analytics, and Data Lake), along with relevant certifications like Azure Data Engineer Associate, is crucial. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate across teams and address complex data challenges. These skills ensure secure, scalable, and efficient data solutions that empower organizations to make data-driven decisions.

What are some common challenges faced by professionals working with Azure Data Fabric, and how can they be addressed?

Professionals working with Azure Data Fabric often encounter challenges related to integrating diverse data sources, ensuring data security, and optimizing data pipeline performance. Managing data consistency and governance across distributed environments can also be complex. These challenges can be addressed by leveraging Azure's built-in monitoring and security tools, implementing robust data management policies, and staying up-to-date with best practices through continuous learning. Collaboration with cross-functional teams, such as data engineers, architects, and security specialists, is essential for successful project delivery.

What is the difference between Azure Data Fabric vs Data Engineer?

AspectAzure Data FabricData Engineer
Primary FocusData integration, management, and platform services on AzureDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsAzure services, data architecture, cloud computingSQL, ETL, programming, data modeling
CertificationsAzure Data Engineer, Azure Solutions ArchitectMicrosoft Certified: Data Engineer Associate
Work EnvironmentCloud platforms, enterprise data solutionsData warehouses, cloud/on-premises environments

Azure Data Fabric focuses on providing a comprehensive data platform on Azure, enabling data integration and management. Data Engineers build and maintain data pipelines and infrastructure within such platforms. While Azure Data Fabric is a cloud service, Data Engineers work across various environments, often utilizing Azure services. Both roles require knowledge of data architecture and cloud tools, but their core responsibilities differ: platform management versus pipeline development.

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Azure Data Fabric jobs near you
Infographic showing various Azure Data Fabric job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data Analytics Architect

Machine Intelligence Technologies, LLC

On-site

$120 - $190/hr

Other

Posted 8 days ago

Key responsibilities

  • Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks / Fabric.

  • Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.

  • Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.

Job description

Responsibilities:
  • 1. Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks / Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.
  • 2. Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
  • 3. Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.
  • 4. Lead the development of data pipelines and ETL processes using Azure Databricks , PySpark, and other relevant tools.
  • 5. Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory) and on-premise systems.
  • 6. Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
  • 7. Ensure proper documentation of architecture, processes, and data flows, while ensuring compliance with security and governance standards.
  • 8. Ensure best practices are followed in terms of code quality, data security, and scalability.
  • 9. Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
Essential Skills:
  • Strong experience with Azure Databricks , including cluster management, notebook development, and Delta Lake.
  • Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark).
  • Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory.
  • Experience with ETL/ELT processes, data warehousing, and building data lakes.
  • Strong SQL skills and familiarity with NoSQL databases.
  • Experience with CI/CD pipelines and version control systems like Git.
  • Knowledge of cloud security best practices.
Soft Skills:
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and a proactive approach to identifying and resolving issues.
  • Leadership skills with the ability to manage and mentor a team of data engineers.
Nice to have Skills:
  • Power BI for dashboarding and reporting.
  • Microsoft Fabric for analytics and integration tasks.
  • Spark Streaming for processing real-time data streams.
  • Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.
Experience:
  • 1. Demonstrated expertise of 8+ years in developing data ingestion and transformation pipelines using Databricks /Synapse notebooks and Azure Data Factory.
  • 2. Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
  • 3. Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
  • 4. Proficiency in building and optimizing query layers using Databricks SQL.
  • 5. Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
  • 6. Prior experience in developing, optimizing, and deploying Power BI reports.
  • 7. Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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