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Data Virtualization Jobs (NOW HIRING)

Tanisha Systems

Fuse Architect / Lead

Knoxville, TN

$52.75 - $72.25/hr

Jboss Fuse, Camel, Active MQ, Jboss Data Virtualization, Salesforce integration knowledge Experience with the data virtualization tool of JBOSS Fuse, Lightning Connect is desirable Thanks!!! Regards.

Tanisha Systems

Fuse Architect / Lead

Knoxville, TN · On-site

$52.75 - $72.25/hr

... MQ, Jboss Data Virtualization, Salesforce integration knowledge • Experience with the data virtualization tool of JBOSS Fuse, Lightning Connect is desirable Thanks!!! Regards... Manju Sharma ...

MM International

Data Architect

Woodbridge, NJ · On-site

$64.25 - $82.75/hr

... virtualization using tools like - Dremio, BigQuery Omni, Redhat Virtualization • 7+ years of experience with Rest API, Apigee, Kafka, JSON to consume and produce data topics • 7+ years of ...

Sparibis

Virtualization Engineer

Melbourne, FL

DATA MANAGEMENT * Careers * Contact Us Careers Home / Careers My Account Job Openings >> Virtualization Engineer Virtualization Engineer Summary Title: Virtualization Engineer ID: 1376 Location:

deciBel Research, Inc.

Data Analyst

Huntsville, AL · On-site

Apply data modeling and data virtualization principles * Generally, conduct quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting ...

SA Technologies Inc.

Data Warehouse Specialist

San Ramon, CA · On-site

$19.75 - $25.75/hr

Hands-on experience working in Denodo (data virtualization technology) * Nice to have: Informatica MDM implementation experience (Must be Informatica) * Banking industry experience in Compliance work ...

Quadtec Solutions, Inc

Be Seen First

Cybersecurity Threat Hunter (Data Scientist)

Dallas, TX · Remote

$160K - $160K/yr

This position will drive deployment of a variety of models and workflows using model orchestration and data virtualization solutions. It will require close partnerships with other internal teams.

Quadtec Solutions, Inc

Be Seen First

Cybersecurity Threat Hunter (Data Scientist)

Washington, DC · Remote

$160K - $160K/yr

This position will drive deployment of a variety of models and workflows using model orchestration and data virtualization solutions. It will require close partnerships with other internal teams.

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Data Virtualization information

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How much do data virtualization jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data virtualization in the United States is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $69.71 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.
More about Data Virtualization jobs
What states have the most Data Virtualization jobs? States with the most job openings for Data Virtualization jobs include:
What job categories do people searching Data Virtualization jobs look for? The top searched job categories for Data Virtualization jobs are:
Data Virtualization jobs near you
Infographic showing various Data Virtualization job openings in the United States as of June 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $114,704 per year, or $55.1 per hour.

Data Architect

Texas State Library and Archives Commision

Morristown, NJ • On-site

$65.50 - $84.25/hr

Full-time

Posted 3 days ago

Job description

Hi All,
Hope you are doing great!
This is Sreenidhi from Cloudious.
Greetings from Cloudious LLC, an IT Consulting/Staffing Organization based out of San Jose, CA.
We have urgent requirements for "Data Architect" with in Morristown, NJ - Onsite with one of our clients. Please review the job description below.
Job Title: Data Architect
Location - Morristown, NJ - Onsite
Hire Type: Contract
Job Description:
Skillset
# 15 years of experience and Strong understanding of DW Concepts
# Prior experience as Data Architect, Should have experience building Data Flow Diagram, ER Diagram etc. using Visio.
# Strong understanding of Banking Applica tions & Payment Systems
# Strong Knowledge of Data Governance, Data Standards, , data standardization, data mastering and Metadata Management
# Demonstrated understanding of Data management, Data Visualization and Data Virtualization Data modelling
# Established experience delivering information management solutions to large numbers of end users and common provisioning of the enterprise data for all corporate functions & business units
# Knowledge of MDM
# Prior experience in data analysis and SQL query tuning.
# Banking and Financial domain experience
# Experienced in knowledge-driven data processing techniques like data curation, representation, standardization, normalization and any other type of processing that prepares the data for integration, persistence, analysis, exchange share and so forth. #
Responsibilities:
# Facilitate the establishment and execution of the roadmap and vision for information delivery and management including the enterprise data warehouse, BI & analytics and Data management
# Lead data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy
# Research and evaluate capability with other systems, alternative solutions and recommend the most efficient and cost-effective solution for system design
# Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly"

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