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Data Virtualization Engineer Jobs in Kentucky (NOW HIRING)

Lockheed Martin

Data Engineer Staff

Lexington, KY

Implement data quality checks, smart caching, and virtualization techniques to guarantee ... Prepare and release engineering drawings and associated data system documentation. Technology ...

Lockheed Martin

Data Engineer Staff

Lexington, KY · On-site

Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data ... virtualization techniques to guarantee consistency and reliability. • Build automated data ...

Stefanini Group

Network Engineer

Owensboro, KY · On-site

Work with network, telecommunication, on prem server infra and data cabling providers on different ... Networks, Telecommunications, Server, Virtualization (Hyper-V), * Experience/Understanding of CISCO ...

Stefanini Group

Network Engineer

Owensboro, KY · On-site

Work with network, telecommunication, on prem server infra and data cabling providers on different ... Networks, Telecommunications, Server, Virtualization (Hyper-V), * Experience/Understanding of CISCO ...

Waystar

Sr. Manager, Systems Engineering

Louisville, KY · On-site

$104K - $141K/yr

This role oversees teams responsible for compute, storage, virtualization, and core systems, with a ... Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data ...

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Data Virtualization Engineer information

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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Data Virtualization Engineer jobs near you

Data Engineer Staff

Lockheed Martin

Lexington, KY

Other

Posted 17 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 389 frontline employees who took The Breakroom Quiz

37th of 71 rated aerospace companies

Job description

LockheedMartin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to design, build, and operate scalable pipelines that collect, ingest, transform, store, and serve data for analytics and mission critical applications while ensuring security, performance, and compliance with DoD/SOFSA standards.
Key Responsibilities
Pipeline Development & Maintenance Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores. Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability. Build automated data management conduits that support machine learning data flows.
Data Architecture & Modeling Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs. Define functional capabilities, security, backup, and recovery specifications for each solution. Design and maintain systems that collect, store, and present data across the enterprise.
Lifecycle Management Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle. Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers. Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Operations & Performance Identify and resolve production incidents; tune system parameters for optimal throughput and latency. Evaluate, integrate, and validate new releases or platform upgrades. Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records.
Standards & Governance Define and enforce best practice standards, certification processes, and metadata management policies for data objects. Participate actively in the Data Governance Working Group. Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Risk & Design Support Assist early stage risk identification and mitigation for task order activities. Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Cross Discipline Liaison Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems. Prepare and release engineering drawings and associated data system documentation.
Technology Integration Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment. Advise higher level leadership on critical data management issues and emerging technology trends.
Reporting Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
Additional Typical Duties (new content integrated) Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits. Assess and address methodological limitations to ensure reliable data delivery. Read, interpret, write, modify, and execute simple scripts (e.g.,PERL, VBS) on Windows and UNIX systems for parsing large files, automating manual tasks, and fetching/processing remote data. Record, manage, and validate test data. Establish data security controls, develop data dictionaries, and apply data mining techniques (e.g., file system searches). Perform data pre processing (imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing). Conduct transformation analytics (aggregation, enrichment, processing)

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Benefits

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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