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Data Virtualization Engineer Jobs in Mountain View, CA

Airspan

Software Engineer

Milpitas, CA · On-site

$264K/yr

Container Network Interfaces (CNI) aspects of Kubernetes or virtualization technologies; defining ... big data engines; collaborate w/ engineers to find effective solutions to technical challenges ...

Airspan Networks

Software Engineer

Milpitas, CA · On-site

$264K/yr

Container Network Interfaces (CNI) aspects of Kubernetes or virtualization technologies; defining ... big data engines; collaborate w/ engineers to find effective solutions to technical challenges ...

Samsung

Systems DevOps Engineer

San Jose, CA

$61.75 - $84.75/hr

Company Description We are seeking a highly skilled engineer to join the cloud and data center ... and virtualization management (Openstack, etc) o Cloud storage systems (block and object) o ...

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Data Virtualization Engineer information

See Mountain View, CA salary details

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How much do data virtualization engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data virtualization engineer in Mountain View, CA is $70.26, according to ZipRecruiter salary data. Most workers in this role earn between $58.12 and $80.24 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 Mountain View, CA?

For Data Virtualization Engineer jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Data Virtualization Engineer jobs in Mountain View, CA look for?

The top searched job categories for Data Virtualization Engineer jobs in Mountain View, CA are:

Data Virtualization Engineer jobs near you

Sr. Software Engineer (Systems Engineering, C/C++)

NetApp

San Jose, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 494 rated business services

Job description

Job Summary

NetApp is seeking a highly experienced Senior Software Development Engineer to help lead innovation across cloud infrastructure, software-defined storage, virtualization, and distributed systems technologies. This role is responsible for driving the design and execution of foundational infrastructure capabilities that power NetApp's cloud-native storage and data management services across hyperscaler cloud environments. 

As an Senior Software Engineer, you will apply broad and deep expertise across multiple specialized disciplines including distributed systems, Linux systems software, storage architecture, networking infrastructure, and virtualization technologies. You will contribute to significant technical initiatives spanning multiple products, teams, and partner organizations while influencing architecture, execution, scalability, and operational excellence across the organization. 

This role requires strong technical leadership, advanced systems thinking, and the ability to identify challenges and blockers early while navigating complex technical and organizational constraints to deliver impactful outcomes. 

Responsibilities
  • Lead the design and development of scalable, resilient, and high-performance infrastructure components across storage, networking, virtualization, and Linux systems layers. 
  • Drive architecture and technical direction for major subsystems within software-defined storage, virtualization infrastructure, and distributed cloud platforms. 
  • Contribute to significant portions of the product across multiple technical domains and projects while coordinating execution across stakeholders and partner teams. 
  • Architect and optimize storage and networking data paths for performance, scalability, reliability, and operational efficiency in cloud-scale environments. 
  • Provide technical leadership across virtualization technologies including KVM/QEMU, hypervisor integrations, virtual networking, storage virtualization, and infrastructure orchestration. 
  • Drive engineering excellence through strong design practices, observability, scalability, reliability, automation, and operational readiness. 
  • Lead resolution of highly complex technical challenges involving distributed systems, virtualization, cloud infrastructure, and enterprise storage technologies. 
  • Influence technical direction across organizations through architecture reviews, technical mentoring, design leadership, and cross-functional collaboration. 
  • Establish effective technical collaboration models across engineering teams and partner organizations to drive alignment and execution. 
  • Mentor engineers and help scale organizational engineering capability through technical guidance and leadership. 
  • Evaluate emerging technologies and industry trends in cloud infrastructure, distributed systems, storage, and virtualization platforms. 
Job Requirements
  • 12+ years of experience in systems software engineering, distributed infrastructure platforms, virtualization, storage systems, or cloud infrastructure development. 
  • Expert-level programming skills in C/C++ with strong proficiency in Python. 
  • Deep expertise in Linux operating systems internals, kernel technologies, systems architecture, concurrency, memory management, and performance engineering. 
  • Significant experience designing and building distributed storage systems, software-defined infrastructure platforms, or cloud-native infrastructure services. 
  • Deep expertise with virtualization stacks including KVM/QEMU, virtio, hypervisors, virtual storage, and virtual networking technologies. 
  • Strong experience with storage and networking subsystems, kernel development, or device driver development.
  • Deep understanding of distributed systems architecture, scalability, fault tolerance, reliability engineering, and operational excellence. 
  • Strong operational expertise with hyperscaler cloud platforms including AWS, Azure, GCP, or OCI. 
  • Proven ability to lead large cross-functional technical initiatives and influence engineering outcomes across organizations. 
  • Exceptional debugging, systems analysis, and performance optimization capabilities. 
  • Strong communication, technical leadership, and stakeholder management skills. 
  • Demonstrated ability to independently solve highly complex technical challenges with broad organizational impact. 
Preferred Qualifications
  • Experience architecting enterprise-scale storage operating systems such as ONTAP or similar platforms. 
  • Experience driving large-scale infrastructure modernization or platform transformation initiatives. 
  • Contributions to open-source systems software, kernel, virtualization, storage, or cloud infrastructure ecosystems. 
  • Recognized technical expertise in cloud infrastructure, distributed systems, virtualization, or storage platforms. 
  • Advanced cloud certifications or equivalent industry-recognized expertise. 
Education
  • Bachelors or Masters Degree in computer scicnece or similar field is preferred. 

Compensation:
The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US

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