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Fabric Data Engineer Jobs in Tennessee (NOW HIRING)

Cloud Data Integration & Lakehouse Modeling (Snowflake & Fabric) * Semantic & Data Modeling: Build and maintain reporting-ready data models (Star/Snowflake schemas) within existing Medallion ...

Data & AI Platform Engineer

Nashville, TN · On-site

$110K - $132K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage for data engineering and pipeline orchestration * Knowledge of data governance concepts and familiarity with Microsoft ...

AI/RPA Engineer

Nashville, TN · On-site

$120 - $180/hr

Work with Data Engineering to leverage: * Microsoft Fabric * Azure Data Lake * Power BI semantic models * Integrate data from: * EHR and eMAR platforms Education and Qualifications * Bachelor ...

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * ... Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data ...

Showing results 21-40

Fabric Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do fabric data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for fabric data engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 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 Tennessee?

For Fabric Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Tennessee look for?

The top searched job categories for Fabric Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Fabric Data Engineer jobs?

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

Infographic showing various Fabric Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

Full-time

Re-posted 9 days ago


Job description

POSITION SUMMARY

The BI Developer is responsible for building, maintaining, and enhancing enterprise reporting and analytics solutions, with a primary focus on Microsoft Power BI and Microsoft Fabric. This role combines hands-on dashboard development, DAX and data modeling, and SQL-based data validation, working within data architectures and standards established by senior team members. Working across domestic, international, corporate, and franchise data domains, this position supports cross-functional teams by turning data into clear, reliable, and actionable reporting.

ESSENTIAL FUNCTIONS

BI Delivery & Power BI Development

  • Power BI Solution Development: Support the Sr. Manager and senior team members in developing and enhancing interactive dashboards and paginated reports; assist with executive scorecard updates as directed.
  • Report Performance: Build and optimize DAX queries and Power BI reports connected to Microsoft Fabric data sources (including Direct Lake mode) to support fast, reliable refresh performance.
  • Metric Consistency: Implement standardized metric definitions within the Power BI semantic layer as defined by senior team members and stakeholders; ensure calculations remain consistent across reports and dashboards, and flag discrepancies in metric logic for review.
  • Reporting & Documentation: Maintain documentation of data models, metric definitions, and dashboard usage guides for end-users.

Cloud Data Integration & Lakehouse Modeling (Snowflake & Fabric)

  • Semantic & Data Modeling: Build and maintain reporting-ready data models (Star/Snowflake schemas) within existing Medallion framework architecture (Bronze, Silver, Gold layers) across Snowflake and Microsoft Fabric (OneLake).
  • Data Integration & Validation: Write SQL queries to validate data integrity, trace data lineage, and troubleshoot datasets across Snowflake and Microsoft Fabric.
  • Pipeline Collaboration: Collaborate with data engineering teams on the integration of new data streams into the reporting layer, validating data quality and structure on the BI side.

AI Integration & Advanced Analytics

  • Semantic Layer Support: Maintain and extend existing Power BI semantic layers under senior guidance to support emerging use cases, including AI text-to-SQL tools.
  • Conversational Data Exploration (Exposure): Gain hands-on exposure to Snowflake Intelligence and Cortex AI tools as the organization rolls out enterprise data agents and NLP-based self-service exploration.

Data Governance & Operations

  • Data Governance: Ensure reports and semantic layers adhere to corporate role-based access controls (RBAC), row-level security (RLS), and data masking policies.
  • Operational Support: Provide occasional after-hours support during major deployments or period-end reporting cycles, with advance notice provided where possible.

POSITION QUALIFICATIONS

CORE COMPETENCIES

  • 2 to 4 years of experience in information technologies, with at least 2 years focused specifically on BI development, dashboard creation, and data analysis.
  • Prior experience within the Retail or Restaurant industries (Casual Dining or Quick Service environments preferred) is a plus.

 Education

  • Bachelor's degree preferred, ideally in Information Systems, Computer Science, Data Analytics, or a related field.

 Technical Skills

  • Solid working knowledge of Power BI (DAX, Power Query) and hands-on familiarity with Microsoft Fabric fundamentals (OneLake, Lakehouses, Direct Lake connectivity).
  • Strong SQL skills, with the ability to write queries to validate data integrity and troubleshoot reporting datasets.
  • Working knowledge of dimensional modeling

 

WORK ENVIRONMENT

  • Restaurant Support Center that operates in a fast-paced setting with a high volume of activity and a deadline-driven environment. The role follows a hybrid work model, requiring on-site presence in the office every Tuesday, Wednesday, and Thursday.

THE COMPANY RETAINS THE RIGHT TO CHANGE OR ASSIGN OTHER DUTIES TO THIS POSITION AS DEEMED APPROPRIATE WITH OR WITHOUT NOTICE.