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Data Virtualization Engineer Jobs in Philadelphia, PA

Programmers.io

Test Engineer

Mount Laurel, NJ · On-site

Leads Proof of Concepts (POCs) to evaluate new technologies geared towards better, faster, more secure testing activities (such as Service Virtualization, DevOps, BDD, Test Data Management) Mandatory ...

Jj

Director R&D Data Systems

Titusville, NJ · On-site +1

Partner with architecture, security, data engineering, analytics, and product teams to determine when virtualization, replication, APIs, or data products are the right pattern. * Monitor platform ...

Jj

Director R&D Data Systems

Spring House, PA · On-site +1

Partner with architecture, security, data engineering, analytics, and product teams to determine when virtualization, replication, APIs, or data products are the right pattern. * Monitor platform ...

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All JobsData Virtualization Engineer JobsData Virtualization Engineer Jobs in Philadelphia, PA

Data Virtualization Engineer information

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How much do data virtualization engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data virtualization engineer in Philadelphia, PA is $60.10, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.65 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 Philadelphia, PA?

For Data Virtualization Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Virtualization Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Data Virtualization Engineer jobs in Philadelphia, PA are:

Data Virtualization Engineer jobs near you

Manager- Hybrid Cloud & Virtualization (VMware)

VeeRteq Solutions Inc.

Newtown Square, PA • On-site

Full-time

Re-posted 14 days ago

Job description

Role: Manager - Hybrid Cloud & Virtualization (VMware)
Location: Newtown Square, PA (Hybrid - 3 days onsite).
Duration: Contract to Hire after 3-6 months
 

Overview

  • Seeking a hands-on Hybrid Cloud & Virtualization Manager to lead enterprise compute across Azure, AWS, and on-prem VMware environments
  • Role focused on secure, compliant, and cost-optimized infrastructure supporting payer-grade workloads (highly regulated, business-critical systems)
  • Owns hybrid cloud operations, VMware virtualization, and enterprise FinOps / consumption governance
  • Ideal for environments balancing legacy on-prem investments with modern data/cloud platforms (including Databricks)
  • Structured as a contract-to-hire with long-term leadership potential

What You’ll Do

  • Lead operations across hybrid infrastructure (Azure, AWS + VMware-based on-prem environments)
  • Manage and optimize VMware environments (vSphere, ESXi, vCenter, clusters, storage, networking)
  • Ensure availability, performance, and resilience of enterprise compute platforms
  • Oversee infrastructure spanning on-prem, private cloud, and public cloud environments
  • Establish and enforce compute governance, standards, and controls across cloud and on-prem
  • Drive security, compliance, and audit readiness aligned to regulated payer environments (PHI, HIPAA-type controls)
  • Oversee identity, access, and secure compute posture across hybrid environments
  • Own end-to-end FinOps and consumption management across:
    • Azure and AWS cloud usage
    • Databricks / data & analytics workloads
    • VMware on-prem compute (cost per VM, cluster, application, or business unit)
  • Leverage tools such as Finout (and native cloud tooling) to:
    • Drive cost visibility and allocation (showback / chargeback)
    • Identify optimization opportunities (right-sizing, workload placement)
    • Partner with finance on budget tracking and forecasting
  • Support hybrid cloud strategy, balancing workloads across environments for cost, compliance, and performance
  • Lead initiatives for automation, monitoring, and infrastructure standardization
  • Partner with application, data, and security teams on platform reliability and modernization initiatives
  • Manage and mentor infrastructure and virtualization engineering teams

What You Bring

  • 8–12+ years of experience in infrastructure, cloud, and virtualization leadership roles
  • Deep expertise in VMware (vSphere, ESXi, vCenter)
  • Strong experience across hybrid cloud environments (Azure and/or AWS)
  • Proven experience managing enterprise compute across on-prem and cloud platforms
  • Hands-on experience with:
    • Cloud cost management / FinOps practices
    • Managing consumption for data platforms (Databricks or similar)
    • Building cost attribution models across infra and application layers
  • Strong understanding of:
    • Virtualization, compute, storage, and networking
    • Infrastructure security and access controls
    • Backup, disaster recovery, and high availability
  • Experience in regulated industries (healthcare / payer preferred)
  • Proven ability to lead teams and work cross-functionally with engineering, security, and finance

Nice to Have

  • VMware certifications (VCP, VCAP)
  • Cloud certifications (AWS, Azure)
  • Experience in payer organizations or large healthcare enterprises
  • Exposure to automation (Terraform, scripting, DevOps tooling)
  • Familiarity with enterprise cost governance platforms (Finout, Apptio, CloudHealth, etc.)