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Knowledge Engineering Jobs in Orange, NJ (NOW HIRING)

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$13

$32

$58

How much do knowledge engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for knowledge engineering in Orange, NJ is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $38.56 per hour, depending on experience, location, and employer.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.

How does a knowledge engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How much does a knowledge engineer make?

The average salary for a knowledge engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Knowledge engineers often work with AI, machine learning, and data management tools, and advanced skills can lead to higher compensation.

How to become a knowledge engineer?

To become a knowledge engineer, typically a bachelor's degree in computer science, information systems, or a related field is required, along with skills in knowledge representation, logic, and programming languages such as Python or Java. Experience with artificial intelligence, machine learning, and knowledge management tools is also valuable, and some roles may prefer candidates with advanced degrees or certifications in relevant areas.

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What cities near Orange, NJ are hiring for Knowledge Engineering jobs?

Cities near Orange, NJ with the most Knowledge Engineering job openings:

Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Orange, NJ as of August 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Temporary. Highlights an 100% In-person job distribution, with an average salary of $66,585 per year, or $32 per hour.

Omnissa Intelligence Specialist / DEX Analytics Engineer

PB consulting

Wallington, NJ • On-site

Full-time

Posted yesterday

New

Job description

We are seeking an experienced Omnissa Intelligence Specialist / DEX Analytics Engineer to transform endpoint, application, and virtual desktop telemetry into actionable insights and automated remediation. The role focuses on Digital Employee Experience (DEX) analytics, dashboard development, telemetry correlation, workflow automation, and proactive IT operations across Omnissa digital workspace environments.

Required Skills

2+ years of hands-on production experience with Omnissa Intelligence / Workspace ONE Intelligence.
Working knowledge of Workspace ONE UEM and/or Omnissa Horizon.
Experience developing and maintaining Omnissa Intelligence dashboards, reports, and analytics.
Hands-on experience with Freestyle Orchestrator or equivalent low-code/no-code automation platforms.
Strong understanding of DEX/EUC concepts, including device compliance, application performance, VDI session health, and user experience scoring.
Experience correlating telemetry across endpoints, applications, network, VDI, and security tools.
Strong troubleshooting and Root Cause Analysis (RCA) skills.
Experience integrating analytics insights with ITSM/ticketing workflows.

Roles and Responsibilities

Configure and maintain Omnissa Intelligence dashboards, reports, and DEX analytics for device health, application performance, compliance, and user experience.
Develop automation workflows using Freestyle Orchestrator to perform remediation actions such as configuration changes, patching, and ticket creation.
Analyze and correlate telemetry from endpoints, applications, VDI sessions, networks, and security platforms to identify recurring issues.
Integrate DEX insights with ITSM platforms and support workflows to improve incident resolution and operational efficiency.
Configure and optimize experience and sentiment scoring to accurately measure employee experience.
Integrate supported third-party security and risk platforms for unified visibility and risk scoring.
Use AI-assisted analytics/query capabilities to accelerate data exploration and troubleshooting.
Monitor KPIs such as device compliance, application crash rates, boot/login times, VDI health, and DEX scores.
Create technical documentation, data-flow diagrams, and operational runbooks.
Train support teams on interpreting dashboards, analytics, and remediation workflows.
Identify opportunities to improve employee experience through proactive monitoring, automation, and remediation.

Preferred Skills

Experience integrating security platforms such as Lookout Mobile Threat Defense (MTD) or Netskope CASB.
Experience with ServiceNow or other ITSM platforms and Workspace ONE ITSM integrations.
Omnissa/VMware certifications in Digital Workspace, UEM, or Horizon.
Scripting experience with PowerShell or Python.
Experience with advanced DEX analytics, automation, and proactive remediation.

Apply