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Fabric Data Engineer Jobs in Utah (NOW HIRING)

Collaborate with scientists, engineers, technicians, and manufacturing teams to translate physical ... Experience with Azure Digital Twins, Azure Machine Learning, Azure IoT, Microsoft Fabric, Synapse ...

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Cloud Platform Engineer

Draper, UT ยท On-site

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Senior Infrastructure Engineer

Lehi, UT ยท On-site

$125 - $150/hr

Manage the Nutanix storage fabric, monitoring, and capacity planning; optimize IOPS, latency, and ... NetApp storage administration (data protection, replication, capacity management). * Splunk ...

Senior Infrastructure Engineer

Lehi, UT ยท Hybrid

$101K - $138K/yr

Manage the Nutanix storage fabric, monitoring, and capacity planning; optimize IOPS, latency, and ... NetApp storage administration (data protection, replication, capacity management). * Splunk ...

Showing results 21-40

Fabric Data Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do fabric data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for fabric data engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 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 cities in Utah are hiring for Fabric Data Engineer jobs?

Cities in Utah with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Senior Power BI Developer (Senior Specialist, Business Analyst)

L3HHCM20

Salt Lake City, UT โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

Job Title: Senior Power BI Developer (Senior Specialist, Business Analyst)

Job Code: 40554

Job Location: Salt Lake City, Utah

Job Schedule: 9/80 (employee's work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off)

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POSITION DESCRIPTION

The Senior Power BI Developer is responsible for architecting, developing, optimizing, and supporting enterprise business intelligence solutions using Microsoft Power BI, Microsoft Fabric, Azure data services, Snowflake, and related technologies. This role partners with business stakeholders, analysts, data engineers, and IT teams to deliver scalable semantic models, dashboards, reports, and analytics solutions that enable data-driven decision-making across the organization.

ESSENTIAL FUNCTIONS

  • Facilitate the collection and definition of requirements for reporting and analytics projects.
  • Translate business requirements into scalable semantic models, dashboards, reports, and technical solutions aligned with enterprise architecture and data strategy.
  • Collaborate with stakeholders to build intuitive, effective, and high-performing reporting solutions.
  • Design and maintain dimensional data models, including fact and dimension tables, relationships, hierarchies, and reusable measures.
  • Develop advanced DAX calculations for KPIs, business rules, time intelligence, and analytical reporting.
  • Build and maintain Power Query / M transformations for data ingestion, cleansing, shaping, and standardization.
  • Develop reporting and analytics solutions using enterprise data platforms including Azure, Azure Data Factory, Snowflake, and other cloud or relational data sources.
  • Partner with data engineering and IT teams to support data integration, orchestration, and pipeline workflows that enable reporting and analytics solutions.
  • Optimize Power BI models, datasets, and reports for performance, scalability, usability, and refresh reliability.
  • Support analytics extensions using Microsoft Fabric and, where appropriate, Python and R.
  • Troubleshoot and resolve data quality, performance, modeling, refresh, and reporting issues.
  • Implement and maintain report security, workspace standards, deployment practices, and technical documentation.
  • Develop ad hoc reports, dashboards, and analytical solutions as needed.
  • Promote Power BI best practices, governance, and enterprise adoption across the organization.
  • Plan, execute, maintain, and successfully deliver assigned projects.

REQUIRED QUALIFICATIONS (ONE OF THE FOLLOWING)

  • Bachelor's Degree and minimum 6 years of prior relevant experience.
  • Graduate Degree and a minimum of 4 years of prior related experience.
  • In lieu of a degree, minimum of 10 years of prior related experience.

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PREFERRED ADDITIONAL SKILLS

  • Excellent written and verbal communication skills, including the ability to clearly explain technical concepts to non-technical audiences.
  • Ability to interface effectively with personnel at all levels of the company, including senior management.
  • Advanced experience with Power BI, DAX, Power Query (M language), SQL, and dimensional data modeling.
  • Strong experience building and optimizing enterprise Power BI semantic models, reports, dashboards, and data transformations.
  • Experience troubleshooting performance, refresh, query, and usability issues in Power BI environments.
  • Experience with Power BI governance, gateways, deployment pipelines, and row-level security.
  • Experience working with enterprise data platforms and cloud data environments such as Azure, Azure Data Factory, and Snowflake.
  • Knowledge of modern BI development practices, including governance, documentation, testing, and deployment.
  • Experience with Microsoft Fabric.
  • Experience with Azure data services, Azure Data Factory pipelines, and Snowflake in support of analytics and reporting solutions.
  • Experience with Python and/or R.
  • Familiarity with Tabular Editor, DAX Studio, Performance Analyzer, or similar tools.

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