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Data Virtualization Engineer Jobs in Kentucky (NOW HIRING)

$90 - $120/hr

Experience with deploying applications using virtualization software (VMWare, Docker Desktop ... Familiarity with time-series data concepts (compression, interpolation, aggregation, deadband)

$85 - $110/hr

Experience with deploying applications using virtualization software (VMWare, Docker Desktop ... Familiarity with time-series data concepts (compression, interpolation, aggregation, deadband)

$160 - $210/hr

Data-dense tables at scale--server-side grouping, filtering, and virtualized rendering over ... Ensure engineering excellence across teams through architecture reviews, deep code review, and ...

$180 - $240/hr

We own the full spectrum of Lambda's data platform services--from low-level storage systems to the ... Experience with SR-IOV and virtualization (KVM/QEMU). * Experience with GPUDirect Storage, RDMA ...

$180 - $240/hr

We own the full spectrum of Lambda's data platform services--from low-level storage systems to the ... Experience with SR-IOV and virtualization (KVM/QEMU). * Experience with GPUDirect Storage, RDMA ...

$110 - $120/hr

Experience with virtualized environments (vSphere, ESXI) Preferred Skills: * Understanding on Red ... data science services. Our enterprise systems support includes the Department of Defense's (DoD ...

$120 - $160/hr

Analyze vulnerability data, prioritize remediation based on risk, exploitability, and business ... Strong understanding of virtualization platforms (VMware vSphere/ESXi/VCF) and cloud platforms (AWS ...

New

$85 - $167/hr

Hands-on experience with Salesforce Financial Cloud, Salesforce Data Cloud, MuleSoft and Cloud ... Investigate and propose strategic fits for virtualization, consolidation and rationalization ...

$70 - $100/hr

The IT Systems Engineer helps clients succeed through proper analysis, planning, implementing ... VMWare Data Center Virtualization Products * Enterprise antivirus solutions * Microsoft Windows 10 ...

$113 - $169/hr

This role is for an engineering leader who will drive a unified automation approach spanning network, data center, compute, storage, virtualization, cloud, ITSM, and observability, enabling a more ...

$198 - $277/hr

... data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of ... Experience with software-defined networking (SDN) and network function virtualization (NFV)

$198 - $277/hr

... data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of ... Experience with software-defined networking (SDN) and network function virtualization (NFV)

$140 - $190/hr

... Virtualization and Consulting/Services/Support.**The role*** Partner with Engineering to develop ... Data Bricks, Starburst, Zetaris, TensorRT, Seldon, Pentaho, DBT, Hugging Face, Arrow, Splunk, Kafka ...

$95 - $130/hr

Maintains mill-wide data historian (OSIsoft Pi) and related interfaces. * Evaluates, troubleshoots ... Experience with VMware vSphere 5.5+ including ESXi, vCenter, Horizon View and other virtualization ...

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 ...

Showing results 41-60

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 Kentucky?

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

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

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

What cities in Kentucky are hiring for Data Virtualization Engineer jobs?

Cities in Kentucky with the most Data Virtualization Engineer job openings:

Senior Quality Assurance Engineer I (Historian)

National Asset Mgmt Incorporated

On-site

$90 - $120/hr

Other

Posted 4 days ago


Job description

Job Description

The Senior Quality Assurance (QA) Engineer I primarily works on Inductive Automation Software products. The Senior Quality Assurance Engineer I works under the guidance of a Quality Assurance Group Manager to actively improve the quality and functionality of Ignition, and drive the evolution of the Quality Assurance team. This includes performing and validating application builds using an automated build system, and execution of various manual and automated tests against those builds. This is a full-time position with remote, hybrid and on-site opportunities available.

Responsibilities

  • Validating issues of all complexity with minimal guidance including issues with regression risk
  • Contributing both fixes and new tests to automated test suites; support junior Quality Assurance Engineers automation tasks via mentorship
  • Diagnosing run failure reports properly and transform them into actionable tasks
  • Focusing on testing-related items within the development lifecycle, including testability of requirements, implementation, and testing (collaborating with development along the way)
  • Consistently meet target threshold for regression tests execution; add manual test cases where appropriate, identify deficient test cases, and provide mentoring on test case development and execution
  • Developing and executing test plans that cover all functional requirements; determine applicable test strategies for medium/high complexity bugs and features in team-relevant Ignition product areas
  • Working toward and maintain an advanced level of proficiency across multiple Ignition product areas within the team's scope; gain proficiency as a subject matter expert in a product area
  • Breaking down complex testing efforts into simpler phases that can be tested by less experienced engineers
  • Prioritizing unowned or undesirable work that enables the team to move faster
  • Demonstrating autonomy without sacrificing quality or delivery time; resolving and overcoming medium scale blockers or challenges
  • Working with the Quality Assurance team and adjacent teams to solve problems; escalation problems that have wider scope
  • Building relationships with stakeholders which may include customers, product managers, cross-functional partners, and external partners
  • Ensuring that knowledge is shared amongst the team and does not position themselves or others as a single point of failure
  • Resolving issues and sharing knowledge by improving the execution of the Support Division, Training Department, Sales Division, etc
  • Working towards and maintaining an advanced understanding of industries that use Ignition, our customer base, and the purpose of SCADA software
  • Staying knowledgeable about the company, its values, each division's contributions, and the company's industry contributions
  • Helping junior engineers with issues and support them with their technical growth
  • Improving team strength by advising managers and other leaders with insights and recommendations

Requirements

  • Bachelor’s Degree in Computer Science/Engineering OR at least 4 years experience working in a related field
  • 3-5 years of industry experience
  • Firm grasp of troubleshooting skills within a complex application environment, including debugging of errors, identifying the source of performance issues, parsing of logs and stack traces, and determining reproducible steps for issues
  • Strong programming knowledge with at least one language, including understanding of functions, conditional statements, and basic object oriented concepts (Python, Java/JavaScript, C++)
  • Strong understanding of the SDLC (Software Development Lifecycle) and each of the phases
  • Proficient with source control management systems, such as Git, and common usage (clone and checkout of repositories and specific branches, commits and merge conflicts)
  • Proficient with setup and querying of SQL databases (MS SQL Server, MySQL, similar)
  • Proficient in using Windows, Linux (Ubuntu), and macOS platforms, including working from the command line, and debugging issues with applications running as a service
  • Experience with deploying applications using virtualization software (VMWare, Docker Desktop), including creating images, debugging running containers, and use of persistent data (volumes)
  • Experience with bug tracking systems and writing proper bug reports
  • Familiarity with well-known protocols in the Internet protocol suite and their usage in applications (TCP/UDP, HTTP/HTTPS, IP)

Skills not required, but a plus:

  • Familiarity with time-series data concepts (compression, interpolation, aggregation, deadband)
  • Experience with systems that ingest data at scale (high-volume, high-frequency, or streaming data pipelines)
  • Familiarity with writing automated test cases for Web application testing frameworks (Selenium WebDriver)
  • Experience with writing automated test cases within well known mobile test automation frameworks (XCTest, Espresso)
  • Familiarity with PLC programming and configuration, including ladder logic, updating firmware, and maintenance of PLC programs/exports
  • Experience with tools for quick application development and infrastructure deployment (Docker, Vagrant, Terraform, similar)
  • Debugging of Java platform and Swing/JavaFX applications using JProfiler (or similar profiling tool)
  • Experience with Maven and Gradle build tools, especially in coordinating builds with automated testing
  • Configuring continuous integration/continuous development servers (Jenkins), including creating and maintaining jobs/pipelines
  • Experience with coding in modern IDEs (Eclipse, IntelliJ IDEA, PyCharm)
  • Experience with Wireshark or network analysis tools (traffic filtering, packet analysis)
  • Familiarity with manufacturing industry and SCADA software
About Us Who are we?

Champions for industrial automation innovation and driven by a mission statement to empower our customers to swiftly turn great ideas into reality by removing all technological and economic obstacles, we create and deliver solutions that relieve pain points, bring efficiency to operations and optimize integration.

Why Choose Inductive Automation?

Our passion goes beyond customers. We celebrate your personal and professional milestones, and we support our teams with meaningful work in a collaborative environment.

We find that great work-life balance inspires teams to do their best work and empowers people to live

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