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Fabric Data Engineer Jobs in Colorado (NOW HIRING)

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric ...

Redwood Trust Inc

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

The right candidate should understand core cloud and Microsoft Fabric concepts well enough to ... Data Engineering & Process Development * Lead the design, development, and support of robust ETL ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric ...

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking an Azure Data Engineer with expertise in Databricks. The role involves ... Preferred : • Experience with Azure Synapse / Fabric. • Experience with Azure Data Factory.

Vantage Data Centers

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Foundry, and Fabric to enable advanced analytics and intelligent applications. As a key ...

Vantage Data Centers

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ... AI Foundry, and Fabric to enable advanced analytics and intelligent applications. As a key ...

W3Global

Microsoft Fabric Architect

Denver, CO · On-site

Must-Have Skills & Qualifications: 12+ years overall experience in data engineering/data platform roles. 2+ years of hands-on experience architecting and implementing on Microsoft Fabric. Strong ...

Aprio

Business Intelligence Architect

Denver, CO · On-site

Collaborate with IT and data engineering to evaluate and implement natural language query interfaces, including Power BI Q&A, Copilot for Microsoft 365, and Azure OpenAI Service connections to Fabric ...

Datavail

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms ...

Datavail

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms ...

Datavail

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms ...

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All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Colorado

Fabric Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do fabric data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for fabric data engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 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.

What are popular job titles related to Fabric Data Engineer jobs in Colorado? For Fabric Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Fabric Data Engineer jobs in Colorado look for? The top searched job categories for Fabric Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Fabric Data Engineer jobs? Cities in Colorado with the most Fabric Data Engineer job openings:
Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

Microsoft Fabric Technical Consultant

Link Technologies

Denver, CO • On-site

Other

Re-posted 4 days ago

Job description

  • JOB-7708
  • Microsoft Fabric Technical Consultant
  • Denver, CO
  • Contract
  • Link Technologies (LinkTechConsulting.com), a Las Vegas-based IT consulting firm, is currently seeking a Microsoft Fabric Technical Consultant to join our team in Denver, CO. This position does offer the opportunity to work remotely.
    The Microsoft Fabric Technical Consultant will design, validate, and implement Microsoft Fabric capabilities that support enterprise data, analytics, and reporting strategy. The consultant will provide practical expertise across Fabric workspaces, OneLake, Lakehouse, and Warehouse patterns, Data Factory pipelines, semantic models, Power BI integration, capacity planning, security, governance, deployment practices, and knowledge transfer.
    QUALIFICATIONS
    • 5+ years of hands-on experience with modern Microsoft data and analytics platforms
    • Demonstrated experience with Microsoft Fabric, Power BI, Azure Data Factory or Fabric Data Factory, Lakehouse and Warehouse architecture, OneLake, semantic modeling, data governance, deployment pipelines, and enterprise reporting environments.

    DELIVERABLES
    • Microsoft Fabric Technical Assessment - Summary of current state, target-state considerations, risks, gaps, and prioritized recommendations.
    • Reference Architecture and Implementation Roadmap - Recommended Fabric architecture, workspace model, capacity approach, data engineering patterns, governance model, and phased implementation plan.
    • Standards and Operating Procedures - Recommended naming conventions, access model, deployment practices, monitoring approach, source control practices, and environment promotion process.
    • Prototype or Proof-of-Concept Support - hands-on support for one or more representative Fabric workloads, such as ingestion pipeline, Lakehouse or Warehouse model, semantic model, Direct Lake report, or governance workflow.
    • Knowledge Transfer and Final Presentation - Live walkthrough with documentation, recommendations, open decisions, and Q&A for stakeholders.

    JOB RESPONSIBILITIES
    • Assess and Validate Microsoft Fabric Architecture
      • Review current and planned Microsoft Fabric architecture, including tenant settings, workspaces, capacities, domains, data stores, integration patterns, and Power BI dependencies.
      • Recommend practical architecture patterns for OneLake, Lakehouse, Warehouse, semantic models, Direct Lake, data pipelines, and reporting workloads.
    • Develop Fabric Data Engineering Patterns
      • Design and document reusable ingestion, transformation, and orchestration patterns using Fabric Data Factory pipelines, Dataflows Gen2, notebooks, Lakehouse tables, Warehouse objects, and medallion-style data layers where appropriate.
      • Support integration planning for enterprise source systems, operational data feeds, reporting datasets, APIs, files, and existing Azure or Microsoft 365 data assets.
    • Implement Governance, Security, and Administration Practices
      • Review and recommend Fabric tenant settings, workspace roles, capacity administration, deployment controls, sensitivity labels, endorsement practices, lineage, access patterns, and integration with Microsoft Purview governance capabilities.
      • Define role-based access and environment separation practices for development, test, and production workloads.
    • Support Capacity Planning and Performance Optimization
      • Assess Fabric capacity sizing, workload placement, throttling risks, refresh patterns, query performance, storage usage, monitoring, and cost management considerations.
      • Recommend operational dashboards, metrics, alerts, and runbooks to help DEN manage Fabric adoption at scale.
    • Establish DevOps and Deployment Practices
      • Recommend source control, deployment pipeline, release management, environment promotion, naming standards, and documentation practices for Fabric workspaces and artifacts.
      • Support repeatable implementation patterns for semantic models, reports, notebooks, pipelines, Lakehouses, Warehouses, shortcuts, and shared datasets.
    • Provide Knowledge Transfer and Technical Enablement
      • Provide hands-on guidance, working sessions, documentation, and walkthroughs for staff responsible for Fabric administration, engineering, governance, and Power BI reporting.
      • Document recommended standards, decision points, design patterns, risks, dependencies, and next steps for operationalizing Microsoft Fabric.

    Link Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, gender identity/expression, sexual orientation, national origin, protected veteran status, disability, or any other factors protected by law.

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