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Data Virtualization Engineer Jobs in Austin, TX (NOW HIRING)

HDR

Storage & Data Protection Engineer 2

Austin, TX · On-site

They are seeking a Storage & Data Protection Engineer 2 to administer storage policies, manage ... virtualization, or infrastructure engineering. • Hands-on experience with VMware vSAN ...

Vectra

Senior Data Platform Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience with containerization or virtualization systems (Docker preferred) * Experience with ... data pipeline * Experience as a mentor to junior engineers

Arista Networks

POC Engineer

Austin, TX · 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 ...

Arista Networks

POC Engineer

Austin, TX

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 ...

HDR

Lead Storage & Data Protection Engineer

Austin, TX · On-site

They are seeking a Lead Storage & Data Protection Engineer to define and own the technical roadmap ... virtualization, or infrastructure engineering. • Expert-level experience with VMware vSAN ...

AMD

Linux Kernel SW Engineer

Austin, TX · On-site

... virtualization, and security • Advanced Linux Kernel debugging skills across kernel subsystems ... data structures, x86-64 architecture, ACPI, and PCIE • Experience with low-level debug tools as ...

HDR

Storage & Data Protection Engineer 1

Austin, TX · On-site

The Storage & Data Protection Engineer 1 will support day-to-day administration of storage policies ... virtualization administration/support. • Foundational knowledge of enterprise storage concepts ...

Oracle

Principal Software Engineer

Austin, TX · On-site

$133K - $179K/yr

As part of the VM Data Plane team, we design, build, and optimize the virtualization stack that ... Mentor engineers and help raise the technical bar across the organization * Drive critical ...

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Data Virtualization Engineer information

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How much do data virtualization engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data virtualization engineer in Austin, TX is $59.04, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.45 per hour, depending on experience, location, and employer.

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 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.
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What cities near Austin, TX are hiring for Data Virtualization Engineer jobs? Cities near Austin, TX with the most Data Virtualization Engineer job openings:
Data Virtualization Engineer jobs near you
Fulltime - Principal Data Architect - Austin/Fort Mill/NY City/San Diego, CA (Hybrid)

Fulltime - Principal Data Architect - Austin/Fort Mill/NY City/San Diego, CA (Hybrid)

Exaways Corporation

Austin, TX • On-site

Other

Posted 23 days ago

Job description

Requirements:
• 10+ years of hands-on design and implementation experience in data architecture landscape
• Previous experience migrating legacy platforms to modern data platform
• 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions.
• 3+ years of experience in the following technical disciplines: application development, middleware, database management or operations, security, integration
• Core Competencies:
• Proficiency in defining current and future state Data Architecture models.
• In depth knowledge of cloud data platforms AWS(Primary) and Azure(Secondary). At least one cloud certification is required.
• Experience and expertise in designing, implementing or maintaining the following: Master Data Management solutions, Data Marketplace solutions, Data Science Platforms and Productizing Data, Enterprise Analytics solutions.
• Experience/exposure with one or more Neural Networks, machine learning, deep learning and NLP tools and frameworks.
• Experience migrating monolith on-prem applications to the cloud using Refactoring, Rearchitecting and Re-platforming approaches, including 12-factor. At least one industry-recognized tool/framework/certification is required.
• Experience in DevOps tools, automated deployments and containerization. At least one industry-recognized tool/framework/certification is required.
• Excellent communication skills that translate business problems in technical solutions
• Consult with customers to solve business problems by adapting current technology and/or capitalizing on emerging technology for competitive advantage to meet the strategic objectives of M&A
• Conduct demonstrations and presentations to executive management of prototypes and proof of-concepts.
• Understanding of agile methods (SAFe) and processes, and capability of supporting agile product teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt
Preferences:
• More than 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions is highly preferred
• Previous proven Data Architecture experience to include contributing to and/or progressing the following: Enterprise Data Modeling, Information Architecture Modeling, Information Analysis Modeling, Physical Data Modeling, Enterprise Data Governance Functions and Frameworks - Standards, Policies, Processes, QA, Enterprise Data Technology Landscape, Enterprise Information Analysis Maps, Reference, Master, Meta Data and Document Practices, Data Virtualization, Data Streaming, Operational Data Store, Data Warehouse, Data Management
• Practice including Stewardship and Life Cycle Management
• AWS Certification
• DevOps Certification
• Application Portfolio Rationalization Certification
• Data Security Certification

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