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Data Virtualization Engineer Jobs in Raleigh, NC

Systems Engineer - Virtualization Engineer Dynamic Work Schedule - This is 5 days on site a month ... Networking / Data Center Fundamentals * Automation / Scripting: PowerShell, Python, C# The Team Our ...

Systems Engineer - Virtualization Engineer Dynamic Work Schedule - This is 5 days on site a month ... Networking / Data Center Fundamentals * Automation / Scripting: PowerShell, Python, C# The Team Our ...

Senior Product Manager - Virtualization

Morrisville, NC ยท On-site +1

$118K - $156K/yr

As enterprises modernize their data centers and navigate a rapidly shifting hypervisor landscape ... You will engage with customers, partners, engineering leaders, and field experts to understand ...

POC Engineer

Cary, NC ยท On-site

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud ... Experience in network virtualization technologies such as VXLAN, OpenStack, etc. * Experience in ...

POC Engineer

Cary, NC ยท On-site

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud ... Experience in network virtualization technologies such as VXLAN, OpenStack, etc. * Experience in ...

Description VAST Data is looking for a Professional Services Engineer to join our growing team ... data storage solutions in complex environments. * Familiarity with virtualization and ...

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Data Virtualization Engineer information

See Raleigh, NC salary details

$10

$57

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How much do data virtualization engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data virtualization engineer in Raleigh, NC is $57.90, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.11 per hour, depending on experience, location, and employer.

What is a data virtualization engineer?

A Data Virtualization Engineer is an IT professional who specializes in creating and managing data virtualization solutions, which allow organizations to access and integrate data from multiple sources without physically moving or replicating it. They design, implement, and maintain data virtualization platforms, enabling real-time data access for analytics, reporting, and business intelligence. These engineers work closely with data architects, business analysts, and IT teams to ensure seamless data integration and optimal performance. Their work simplifies data management and helps organizations make faster, data-driven decisions.

How does a data virtualization engineer typically collaborate with business analysts and data scientists?

Data Virtualization Engineers play a key role in bridging the gap between raw data and actionable insights by working closely with business analysts and data scientists. They design and maintain virtual data layers that allow these teams to access integrated, real-time data from multiple sources without having to manage the underlying complexities. Regular collaboration often includes requirements gathering, troubleshooting data access issues, and optimizing queries to ensure performance and accuracy. This cross-functional teamwork helps ensure that data-driven decisions are based on timely, trustworthy information.

What are the key skills and qualifications needed to thrive as a data virtualization engineer, and why are they important?

To thrive as a Data Virtualization Engineer, you need expertise in data integration, SQL, data modeling, and a solid understanding of database technologies, often supported by a degree in computer science or related fields. Familiarity with data virtualization tools such as Denodo, Cisco Data Virtualization, or IBM Cloud Pak for Data, as well as certifications in these platforms, are commonly required. Strong problem-solving skills, effective communication, and the ability to collaborate across business and IT teams are valuable soft skills. These competencies are essential for building efficient, scalable data solutions that enable organizations to access and manage data seamlessly from diverse sources.

What does a data virtualization engineer do?

A data virtualization engineer designs and implements data virtualization solutions that enable access to and integration of data from multiple sources without physical data movement. They work with data integration tools, manage data security, and optimize data access performance, often using platforms like Denodo or Cisco Data Virtualization. Strong knowledge of SQL, data architecture, and cloud environments is essential for this role.

What are popular job titles related to Data Virtualization Engineer jobs in Raleigh, NC?

For Data Virtualization Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Virtualization Engineer jobs in Raleigh, NC look for?

The top searched job categories for Data Virtualization Engineer jobs in Raleigh, NC are:

Virtualization Engineer

Durham, NC โ€ข On-site

Samprasoft
IT Servicesย โ€ขย 1 - 10 employees

Full-time

Posted 11 days ago


Job description

Systems Engineer - Virtualization Engineer

Dynamic Work Schedule - This is 5 days on site a month in the same week then the remainder of the month is working from home. If your candidate is not open to this please tell them they will not be considered. Fidelity determines the week they are working onsite, not the candidate.

Location - Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Systems Engineer - Virtualization Engineer to work in Fidelity's Enterprise Infrastructure group in Durham, NH!

The Role

The Virtualization Engineer is a core member of a multi-disciplinary engineering team within Associate IT on delivery of End User Computing products and services that include Hardware, Operating Systems, Core Applications, Core Infrastructure, Desktop, Application and User State Virtualization, Enterprise Software Deployment and Software Release Management with specific focus on products and solutions centered on virtualization (Desktop, Application, and User). If you have the experience and expertise with a passion for End User Computing, a career in Systems Engineering at Fidelity may be right for you!

The Expertise and Skills You Bring (The order of these bullets does not matter)

  • Bachelor's degree or equivalent experience
  • 3+ years of detailed systems engineering experience including the planning, engineering, design & delivery of enterprise systems.
  • 5+ years of progressive experience in information technology
  • Knowledge and experience with Microsoft's enterprise platform / products
  • Desktop Virtualization: Azure Compute, Citrix XenDesktop / XenApp, VMware ESX
  • OS Platform: Windows 10 and Image Management processes
  • Identity / Security Fundamentals
  • Networking / Data Center Fundamentals
  • Automation / Scripting: PowerShell, Python, C#

The Team

Our Team delivers Fidelity Investments users with a stable client computing platform and secure access to required Fidelity resources independent of time, place, or device by providing architecture, engineering and support services using innovative technologies, efficient solutions, reliable products, and consistent processes.