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Data Virtualization Engineer Jobs in New Mexico (NOW HIRING)

SMS DATA PRODUCTS GROUP, INC

Microsoft Certified Systems Administrator (MCSA) or Microsoft Certified Systems Engineer (MCSE) for ... data security. * Virtualization Proficiency: Advanced experience with VMware vSphere/ESXi for ...

GDIT

HADES Ground Systems Chief Engineer

Albuquerque, NM · On-site

$169K - $229K/yr

Oversee the entire systems engineering lifecycle, using authoritative data, systems architecture ... on-premises virtualization) oMulti-mission, multi-classification operational environments ...

Leidos

Senior Network Engineer

Albuquerque, NM · On-site

$100K - $138K/yr

Leidos is seeking a Senior Network Engineer to support the design, implementation, modernization ... data for troubleshooting and packet analysis. * Experience supporting on-prem virtualization ...

Belcan

Network Engineer - IT Infrastructure

Albuquerque, NM · On-site

$55 - $65/hr

... virtualization platforms (VMware or similar), data center infrastructure systems, network security and firewall configuration tools, hybrid cloud networking tools. If you are interested in this role ...

SMS DATA PRODUCTS GROUP, INC

... engineering a high performance and reliable infrastructure. Candidates should have experience in ... Experience with other industry virtualization hypervisors a plus * Experience working with ...

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Data Virtualization Engineer information

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 New Mexico?

For Data Virtualization Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Data Virtualization Engineer jobs in New Mexico look for?

The top searched job categories for Data Virtualization Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Data Virtualization Engineer jobs?

Cities in New Mexico with the most Data Virtualization Engineer job openings:

Data Virtualization Engineer jobs near you
Infographic showing various Data Virtualization Engineer job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Automation Engineer

Edgewater Federal Solutions, Inc.

Albuquerque, NM • On-site

Full-time

Re-posted 15 days ago

Job description

Overview
Edgewater Federal Solutions is seeking an Automation Engineer to support a major national laboratory.
We are seeking someone with experience with automation and orchestration tools such as Ansible, Puppet, and Chef. Experience in UNIX, Linux, and/or Windows Operating System (OS), including file management, scripting, editing, and security. Experience with a variety of programming languages, software, or tools to develop regular or ad-hoc queries from large datasets. Familiar with network communication protocols, and other related protocols. Ability to implement solutions integrating Rest application program interface (API) based web services.
Responsibilities
  • Evaluate and recommend data ingestion and pipeline tools (open source and vendor solutions) to support scalable data workflows.
  • Design and implement data pipelines to ingest, process, and transform structured and unstructured data from diverse sources.
  • Develop and manage data orchestration workflows using open-source or COTS tools to automate and monitor complex data pipelines.
  • Design, develop, and maintain APIs or leverage existing APIs to enable seamless data integration across COTS, custom-built applications, and data platforms.
  • Work with both on-premises infrastructure (Oracle/Microsoft databases, MongoDB) and cloud platforms (AWS, Azure, GCP, or others) to support current and future data architectures.
  • Integrate data pipelines with various applications, ensuring seamless data flow and interoperability.
  • Collaborate with database administrators, application owners, solution architects, and other stakeholders to understand data requirements and deliver robust solutions.
  • Implement and manage data virtualization solutions, with a preference for experience in Denodo.
  • Ensure data quality, security, and compliance throughout the data lifecycle.
  • Document processes, architectures, and best practices for data engineering workflows

Qualifications
  • BS in relevant discipline plus minimum 3 years or more years of directly related experience that demonstrates the knowledge, skills, and ability to perform the duties of the job.
  • Must be able to obtain and maintain a DOE Security Clearance
  • Must be US Citizen
  • Work is performed onsite and therefore candidate must reside in the Albuquerque area.

Required Skills:
  • Knowledge in automation technologies such as Ansible, Puppet, or Chef.
  • Strong programming skills in Python and SQL.
  • Experience designing, developing, and consuming RESTful APIs and other API technologies to facilitate data integration and interoperability.
  • Experience with ETL/ELT tools and frameworks (e.g., dbt, PySpark).
  • Proven experience (3+ years) in data engineering, data pipeline development, and tool evaluation.
  • Excellent problem-solving skills and ability to work collaboratively in a cross-functional team.

Desired Skills:
  • Knowledge of data virtualization concepts and experience with Denodo preferred.
  • Hands-on experience with data orchestration tools such as Apache Airflow, Prefect, Luigi, or similar platforms for workflow automation and scheduling.
  • Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and hybrid data architectures.
  • Experience integrating data pipelines with COTS and custom applications.
  • Strong understanding of data modeling, metadata management, and data governance.

About Us:
Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area Small Companies for 2018 through 2025. #LI-VA1

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