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Azure Data Fabric Jobs (NOW HIRING)

Bluelight Consulting

$134K - $161K/yr

Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric ... Azure Data Engineer) being a plus. * Proven experience in ETL data engineering with significant ...

Bluelight Consulting

$94K - $113K/yr

Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric ... Azure Data Engineer) being a plus. * Proven experience in ETL data engineering with significant ...

Bluelight Consulting

$134K - $161K/yr

Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric ... Azure Data Engineer) being a plus. * Proven experience in ETL data engineering with significant ...

Medline

Sr. Azure Data Engineer

Northbrook, IL · On-site

$116K - $139K/yr

They are seeking a Senior Azure Data Engineer to leverage their expertise in data modeling and ETL processes to develop scalable analytics solutions on Microsoft Fabric while ensuring alignment with ...

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 ...

CX Data Labs

Lead Data Engineer (Microsoft Fabric)

Mckinney, TX · On-site

$95K - $125K/yr

Lead Data Engineer (Microsoft Fabric) Location: Dallas, TX (100% On-site | 5 Days Work from Office ... Lead the integration of Fabric workspaces with Git (Azure DevOps/GitHub) and manage deployment ...

New

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 ...

iVision Scale LLC

Microsoft Fabric Data Architect

Columbus, OH · Remote

$65.25 - $84/hr

In this role, you will lead solution-delivery initiatives focused on modern data architectures built on Microsoft Fabric, Azure Data Services, and complementary analytics platforms. This role blends ...

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 ...

Cognowiz

Senior Azure Data Engineer

Addison, TX · On-site

$118K - $156K/yr

Addison, Texas (Need Locals) Sr. Data Engineer Contract to Hire Onsite (Tuesday - Thurs) - Remote on Monday & Friday Skill set: Sr. Data Engineer, MS Fabric, Azure Data Factory, Azure Synapse ...

New

Medline

Azure Data Engineer/Analyst

Northbrook, IL · On-site

$92K - $138K/yr

Development and maintenance of data ingestion and transformation pipelines using Microsoft Fabric, Azure, and SQL based tools. * Prepare, clean, and transform raw data into analytics ready datasets ...

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How much do azure data fabric jobs pay per hour?

As of Jul 13, 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 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 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, and why are they important?

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 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.

More about Azure Data Fabric jobs
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Azure Data Fabric jobs near you
Azure Data Engineer - Remote, Latin America

Azure Data Engineer - Remote, Latin America

Bluelight Consulting

Remote

$117K - $140K/yr

Full-time

Re-posted 21 days ago

Job description

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client's growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development.
Responsibilities
  • ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
  • Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
  • Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
  • Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
  • Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
  • Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
  • Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
  • Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
  • Security and Compliance: Ensure data security and compliance with data governance and privacy standards.

Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
  • Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
  • Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems, such as Git (Azure DevOps).
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
  • Familiarity with big data technologies, machine learning, and data analysis preferred.
  • Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote

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