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Data Virtualization Jobs (NOW HIRING)

... data virtualization • May write code to preprocess and clean data Qualifications : Required : • Bachelors degree or higher in computer science, data science, engineering, math, statistics ...

Virtualization Engineer

Cincinnati, OH · Hybrid

$105K - $130K/yr

Own virtualization storage and operations including performance troubleshooting (latency/IOPS/throughput), tiering, capacity optimization, and data protection integration. * Define and enforce ...

Virtualization Engineer

Cincinnati, OH · On-site

$105K - $130K/yr

Own virtualization storage and operations including performance troubleshooting (latency/IOPS/throughput), tiering, capacity optimization, and data protection integration. * Define and enforce ...

Virtualization Administrator with focus on VMware, Hyper-V and other similar technologies ... Implementing and managing backup and disaster recovery solutions to ensure data integrity and ...

Information / Data Architect

Owings Mills, MD

$61.25 - $78.75/hr

Strong analytics & reporting skills - experience with BI tools like Tableau, Tibco Spotfire, MS Power BI, datablending tools like Alteryx, data virtualization platforms & reporting platforms such as ...

At least 1 year of experience with technical skills in SOA, web services, data virtualization, implementation of RESTful webservices Qualifications Qualifications Basic Bachelor's degree or foreign ...

... data. Your work will directly impact the stability, security, and efficiency of our virtualized ... systems. This position differs from an Operating Systems Programmer as it does not involve altering ...

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Data Virtualization information

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$55

$80

How much do data virtualization jobs pay per hour?

As of May 30, 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 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 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.

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.
More about Data Virtualization jobs
What states have the most Data Virtualization jobs? States with the most job openings for Data Virtualization jobs include:
Infographic showing various Data Virtualization job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $114,704 per year, or $55.1 per hour.
Data Scientist (MSIC)

Data Scientist (MSIC)

COLSA

Huntsville, AL • On-site

Full-time

Posted 13 days ago


Job description

Job Summary:
COLSA Corporation is currently seeking a Data Scientist to join our MSIC Team. The role involves performing analyses of data systems, developing data products, and improving algorithm performance to support mission-essential operations.
Responsibilities:
• Performs analysis of data systems, such as Big Data systems
• May perform statistical analysis and provide input for reports and dashboards
• Involved with the development of data products, reports, and dashboards or other display techniques
• Evaluates data, algorithms, and their interaction to improve algorithm performance
• May apply advanced statistics, including natural language processing and machine learning to create solutions.
• May assist in data modeling and data virtualization
• May write code to preprocess and clean data
Qualifications:
Required:
• Bachelors degree or higher in computer science, data science, engineering, math, statistics, operations research or related field or equivalent experience
• Minimum of 7 to 10 years related experience
• Familiarity with advanced machine learning, data science techniques and mathematical approaches
• Working knowledge of current operating systems and programming languages
• U.S, Citizenship required: Active DoD Top Secret security clearance with eligibility for DIA-SCI access. Candidate selected must successfully pass a DIA CI polygraph within 60 days of hire
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Math, Statistics, Operations Research or related field or equivalent experience
• 2+ years programming experience in Python, R, Julia, TensorFlow, CUDA, JavaScript, Scala, Java, Unix/Linux, C, C++
• Proactive self-starter capable of finding and solving problems with little guidance
• Experience implementing and utilizing Generative AI (such as large language models (LLMs))
• Experience designing, building, and maintaining scalable, reliable data pipelines (ETL/ELT workflows)
• Familiarity with MLOps best practices
• Knowledge of containerization (Docker, Podman)
Company:
COLSA Corporation is an engineering and support services company founded in 1980. Founded in 1980, the company is headquartered in Huntsville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.