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Data Virtualization Jobs in Georgia (NOW HIRING)

Alphosoft Inc

Data Modeler

Atlanta, GA · On-site +1

$52.75 - $68.25/hr

Experience with data virtualization or integration tools * Prior experience in the transportation or logistics industry Education B.A./B.S. degree or equivalent work experience in computer science ...

Sarian, Inc.

Enterprise Data Architect

Atlanta, GA · On-site

Knowledge and experience across different data platform such as Databricks, Snowflake, Talend, dbt, Data Virtualization tools * Demonstrated experience in Big Data, data warehouse, data analytics ...

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All JobsData Virtualization JobsData Virtualization Jobs in Georgia

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$42

$62

How much do data virtualization jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data virtualization in Georgia is $42.91, according to ZipRecruiter salary data. Most workers in this role earn between $36.47 and $54.24 per hour, depending on experience, location, and employer.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles requiring advanced skills in data strategy, governance, and leadership tend to have the highest compensation packages.

Is data virtualization still relevant?

Data virtualization is still relevant for data virtualization specialists as it enables real-time access to diverse data sources without physical data movement, improving agility and reducing costs. Professionals in this field often work with tools like Denodo or Cisco Data Virtualization and require skills in data integration and data management. Its role remains important in modern data architectures, especially with increasing data complexity and demand for quick insights.

What jobs will boom in 2026?

Data virtualization specialists and related roles such as data engineers and cloud data architects are expected to see significant growth by 2026 due to increasing demand for efficient data management and integration. Skills in cloud platforms, data modeling, and tools like virtualization software will be valuable for these positions.

What does data virtualization do?

Data virtualization is a technology used by data virtualization specialists to create a unified, real-time view of data from multiple sources without moving or copying the data. It enables users to access and analyze data across different systems quickly and efficiently, often using specialized tools and skills in data management. This approach improves data agility and reduces the complexity of data integration efforts.

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

To thrive as a Data Virtualization Specialist, you need expertise in data modeling, integration, and querying, typically supported by a degree in computer science or a related field. Familiarity with data virtualization platforms such as Denodo, Cisco Data Virtualization, or IBM Cloud Pak for Data, along with knowledge of SQL and data governance frameworks, is essential. Strong problem-solving, communication, and stakeholder management skills help professionals collaborate effectively and translate business needs into technical solutions. These skills ensure seamless data access, improved decision-making, and efficient data management across diverse IT environments.

What is data virtualization?

Data virtualization is a technology that allows users to access, integrate, and analyze data from multiple sources without physically moving or copying the data. It creates a virtual data layer that connects disparate systems, providing a unified view of information in real-time. This approach simplifies data management, reduces storage costs, and enables faster decision-making by providing up-to-date data on demand. Data virtualization is commonly used in business intelligence, analytics, and data integration projects.

What are some common challenges faced by Data Virtualization professionals when integrating data from multiple sources?

Data Virtualization professionals often encounter challenges such as ensuring real-time access and performance when integrating data from diverse sources, including legacy systems, cloud platforms, and databases with different formats. Handling data consistency, managing security protocols, and maintaining data governance standards across virtualized environments can also be demanding. Collaboration with data engineers, architects, and business analysts is essential to ensure that the virtualized data meets the organization’s analytical and operational needs. Overcoming these challenges requires strong technical skills and effective communication across teams.
What are popular job titles related to Data Virtualization jobs in Georgia? For Data Virtualization jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Virtualization jobs in Georgia look for? The top searched job categories for Data Virtualization jobs in Georgia are:
Data Virtualization jobs near you
Infographic showing various Data Virtualization job openings in Georgia as of June 2026, with employment types broken down into 4% Internship, 75% Full Time, 7% Part Time, 7% Contract, and 7% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $89,247 per year, or $42.9 per hour.
Sr Azure Data Engineer

Sr Azure Data Engineer

R2 Technologies Corporation

Alpharetta, GA • On-site

$53.75 - $66.75/hr

Full-time

Posted 7 days ago

Job description

Overview:
Job Title: Azure data engineer
Duration: 12 months
Location: Atlanta GA (Remote)
we are looking for locals to Atlanta (availability on PST time zone)
Job Description:
  • Looking for Senior Azure data engineer 10+ years' experience
  • To research, evaluate, design, implement, and maintain system and product solutions, applying knowledge of engineering principles.
  • Provide technical direction and engineering support for projects and infrastructure.
  • Develop and maintain expert functional knowledge of evolving IT engineering industry technologies/competition, concepts and trends.
    Must have skills:
  • Azure Event Hubs
  • Event Grid
  • Azure Functions
  • Azure Logic Apps
  • Knowledge of Financial domains including banking and investments
  • Familiarity with architecting and designing data analytics solutions in Cloud, Azure, Real-time or similar
  • Data profiling/ Data validation Automation
  • Real time data integration solution using data virtualization
  • Data service/programming lang. experience
  • Synapse
  • Azure Data Factory
  • PySpark
  • SQL/NoSQL
  • Azure DevOps
  • Jira

Skills:
Azure,PySpark,SQL/NoSQL,Jira

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