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Fabric Data Engineer Jobs (NOW HIRING)

2020 Companies

Microsoft Fabric Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

You'll Build the Engine Behind Client Revenue Most data engineers build internal tools. You'll build something that shows up directly in a client's boardroom. Our Microsoft Fabric platform is the ...

Northern Base

Azure Fabric Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineering; Azure Data Factory; Continuous Integration and Continuous Delivery (CI/CD ... Design and develop end-to-end data solutions using Microsoft Fabric, ADF, OneLake, Lakehouse, and ...

2020 Companies

Microsoft Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

You'll Build the Engine Behind Client Revenue Most data engineers build internal tools. You'll build something that shows up directly in a client's boardroom. Our Microsoft Fabric platform is the ...

2020 Companies

Microsoft Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

You'll Build the Engine Behind Client Revenue Most data engineers build internal tools. You'll build something that shows up directly in a client's boardroom. Our Microsoft Fabric platform is the ...

Navtech, Inc.

Microsoft Fabric ___ 100% REMOTE __W2 Role

$36.50 - $41/hr

I have an opportunity for " Microsoft Fabric Data Engineer ___ REMOTE " and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you ...

SolGenie

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer : Microsoft Fabric Duration: 9+ Months Work location- Remote (USA) Work ... Authorization: US Citizen or Green Card Holder only. Employment Type: W2 or Independent Contractor ...

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization with ...

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Fabric Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do fabric data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for fabric data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

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

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

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Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer 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 $129,716 per year, or $62.4 per hour.

Fabric Principal Data Engineer / Solution Architect

Fusemachines

New York, NY • On-site

Contractor

Posted 25 days ago

Job description

About Fusemachines
Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
About the role:
This is a full-time position for a Principal Data Engineer / Solution Architect specializing in Microsoft Fabric and Azure data architectures to support a fast-moving project for a key client in the Life Sciences / Biotech industry.
In this role, you will serve as a senior technical resource responsible for supporting, enhancing, and executing data engineering solutions across Microsoft Fabric, Fabric Data Factory, Microsoft SQL, ADLS Gen2, Databricks Unity Catalog, PySpark in Fabric, and related Azure ecosystem services. The project operates at high velocity, requiring someone who can ramp up quickly, navigate technical ambiguity, and keep active delivery moving seamlessly. You will help stabilize, troubleshoot, and advance an active migration from traditional Azure infrastructure to Microsoft Fabric.
Location & Logistics: Candidates must be based in Boston, MA or fully capable of traveling to Boston as required by project milestones, maintaining 100% working time overlap with US East Coast business hours.
Qualification / Skill Set Requirement:
  • Core Technical Expertise:
    • 8+ years of hands-on data engineering, data architecture, or complex data platform development experience.
    • Strong, practical experience building, supporting, and troubleshooting data pipelines in Microsoft Fabric and Azure Data Factory (ADF).
    • Advanced proficiency in Microsoft SQL (query development, stored procedures, schema design, indexing, performance tuning) and Python / PySpark in Fabric.
    • Hands-on experience managing and supporting Databricks Unity Catalog (catalog/schema/table organization, access controls, permissions, and governance administration).
    • Deep familiarity with Azure Data Lake Storage Gen2 (ADLS Gen2), including data organization, security, and cloud service integrations.
  • Architecture & Migration Experience:
    • Proven experience supporting or leading platform migrations, modernizations, or transitions (specifically Azure-to-Microsoft Fabric).
    • Familiarity with medallion architecture, lakehouse patterns, and modern data warehouse design.
    • Experience with Azure administration activities supporting data platforms (access management, service configuration, and monitoring).
  • Industry & Domain Experience:
    • Required: Prior hands-on experience working with Life Sciences, pharmaceutical, biotechnology, medical device, clinical, or regulatory data environments.
    • Knowledge of appropriate data handling, quality, compliance awareness, and business context in regulated settings.
  • Logistics & Operating Style:
    • Based in Boston, MA or willing/able to travel to Boston, MA for client engagements and alignment meetings.
    • Full working time overlap with US East Coast business hours (ET).
    • Demonstrated ability to operate effectively in a startup-speed environment with shifting priorities, tight timelines, and minimal ramp-up time.
  • Certifications Preferred:
    • Microsoft Certified: Azure Solutions Architect Expert
    • Microsoft Certified: Fabric Data Engineer Associate
    • Microsoft Certified: Azure Data Engineer Associate
    • Microsoft Certified: Azure AI Engineer Associate: nice to have

Responsibilities
  • Fabric & Pipeline Engineering: Design, build, enhance, and support scalable data pipelines and integrations using Microsoft Fabric Data Factory, PySpark in Fabric, and Azure Data Factory.
  • Migration Support & Stabilization: Drive active migration efforts to Microsoft Fabric, including pipeline transition, validation, performance tuning, and operational stabilization.
  • Databricks Governance: Manage and organize Databricks Unity Catalog structures, permissions, and access control policies.
  • Data Asset Management: Develop and optimize Microsoft SQL data assets, complex stored procedures, queries, and ADLS Gen2 storage layers.
  • Troubleshooting & Quality Assurance: Quickly diagnose and resolve issues across data pipelines, SQL queries, Fabric PySpark notebooks, Unity Catalog, and cloud integration layers.
  • Technical Leadership & Knowledge Transfer: Assist with knowledge transfer from outgoing project resources, document technical designs and operational workflows, and mentor delivery team members.
  • Stakeholder Collaboration: Partner closely with technical, project, and business stakeholders to translate complex requirements into reliable, compliant data solutions during US Eastern business hours.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status

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