1

Power Bi Data Engineer Jobs in Georgia (NOW HIRING)

Microsoft Fabric Data Engineer

Athens, GA · On-site

$110K - $132K/yr

Data Engineer / Fabric Administrator The primary role of the Data Engineer / Fabric Administrator ... Create and maintain Power BI dashboards, reports, semantic models, and visualizations that support ...

Power BI Publisher Job Type: Remote-Contract Duration: 1 year + Extension Location: Athens, GA ... The consultant will work with Oracle data sources, support reporting and analytics initiatives, and ...

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, ... Support analytics and reporting via Power BI * Manage data orchestration workflows (e.g., Airflow ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Power BI dashboards. • Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets. • Apply data governance policies in line with Microsoft Purview or Unity ...

Showing results 41-60

Power Bi Data Engineer information

See Georgia salary details

$40

$57

$74

How much do power bi data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for power bi data engineer in Georgia is $57.53, according to ZipRecruiter salary data. Most workers in this role earn between $51.59 and $64.09 per hour, depending on experience, location, and employer.

What is a Power BI data engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What are the key skills and qualifications needed to thrive as a Power BI data engineer?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI data engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

Is Power Bi Data Engineer still in demand?

Power BI Data Engineers are in high demand due to the increasing need for data visualization and analytics in organizations. Skills in data modeling, ETL processes, and proficiency with Power BI tools are valuable, and demand is expected to grow as companies prioritize data-driven decision-making.

What are popular job titles related to Power Bi Data Engineer jobs in Georgia?

For Power Bi Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Power Bi Data Engineer jobs in Georgia look for?

The top searched job categories for Power Bi Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Power Bi Data Engineer jobs?

Cities in Georgia with the most Power Bi Data Engineer job openings:

Infographic showing various Power Bi Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,660 per year, or $57.5 per hour.

Microsoft Fabric Data Engineer

Landmark Properties

Athens, GA • On-site

$110K - $132K/yr

Full-time

Posted 24 days ago


Job description

Job Description
Data Engineer / Fabric Administrator
The primary role of the Data Engineer / Fabric Administrator is to design, develop, and maintain modern data solutions within Microsoft Fabric, supporting the organization's analytics, reporting, automation, and AI initiatives. This position is responsible for building secure and scalable data pipelines, managing data throughout the medallion architecture, developing semantic models and Power BI reporting solutions, and ensuring data is governed and protected throughout its lifecycle. The ideal candidate will possess strong technical expertise in data engineering, analytics, and Microsoft Fabric technologies, along with excellent problem-solving, communication, and collaboration skills. The successful candidate will demonstrate a security-first mindset and the ability to work independently in a rapidly evolving environment.
Reports to: Senior Director of Data Management and Security
Direct Reports: None
Duties/Responsibilities: The duties listed below are an outline of role's responsibilities and should not be considered an all-inclusive list. As the needs of the organization change, these duties may be modified as needed.
  • Develop, maintain, and optimize data solutions within Microsoft Fabric, including data ingestion, transformation, modeling, and reporting.
  • Design and support data pipelines aligned with the medallion architecture, including Bronze, Silver, and Gold data layers.
  • Build and maintain Lakehouses, Warehouses, Dataflows, Data Factory pipelines, Notebooks, and other Fabric components.
  • Create and maintain Power BI dashboards, reports, semantic models, and visualizations that support business decision-making.
  • Partner with business stakeholders to gather requirements, understand reporting needs, and translate business questions into actionable analytics solutions.
  • Develop secure and reliable data models that support role-based access controls, governance requirements, and data classification standards.
  • Apply security-first development principles, including least-privilege access, secure coding practices, data protection controls, and appropriate handling of sensitive information.
  • Collaborate with Information Technology, Security, Compliance, and business teams to ensure data solutions align with organizational standards and objectives.
  • Support testing, validation, deployment, monitoring, troubleshooting, documentation, and continuous improvement of data pipelines and reporting assets.
  • Develop and maintain reusable frameworks, development standards, and engineering best practices within the Microsoft Fabric platform.
  • Utilize automation and AI-assisted development tools responsibly to improve productivity while maintaining security, code quality, and platform reliability.
  • Evaluate new technologies and recommend enhancements that improve data accessibility, reporting capabilities, automation, and analytics maturity.
  • Ensure solutions adhere to security, compliance, and data governance standards.
  • Stay current with emerging trends and technologies in data engineering, analytics, Microsoft Fabric, Power BI, and artificial intelligence.

Education & Experience
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, Software Engineering, or a related field.
  • At least 3 years of hands-on experience in data engineering, business intelligence, analytics development, or a related technical role.
  • Experience developing solutions within Microsoft Fabric, Microsoft Power Platform, Power BI, SQL-based environments, or similar enterprise analytics platforms.
  • Experience designing and supporting data pipelines, data models, and reporting solutions.

Preferred Knowledge, Skills, & Abilities.
  • Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Factory, Dataflows, Notebooks, and related Fabric services.
  • Strong understanding of medallion architecture and data lifecycle management.
  • Experience developing Power BI reports, dashboards, semantic models, and DAX calculations.
  • Proficiency with SQL and data transformation concepts.
  • Experience working with structured and semi-structured data from multiple business systems.
  • Familiarity with Python, PySpark, Spark notebooks, or related data engineering technologies.
  • Understanding of data governance, data lineage, metadata management, and data quality processes.
  • Knowledge of Microsoft Purview, data classification, sensitivity labeling, and data loss prevention concepts.
  • Familiarity with GitHub, source control, CI/CD methodologies, and DevOps practices.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate technical concepts effectively to non-technical stakeholders.
  • Strong organizational skills and ability to manage multiple priorities.
  • Ability to work independently and collaboratively across departments.
  • Commitment to secure development practices and protecting company data.

Work Environment
  • The work environment characteristics described herein are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
  • Travel: May require travel to sites as needed, around 10%

Physical Demands:
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl and talk or hear.
  • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
  • The employee may infrequently drive a vehicle (intrastate and interstate travel) or be subject to air travel for purposes of Company business.

#LI-LF1
Landmark Properties is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.