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Remote Knowledge Engineer Jobs (NOW HIRING)

Jobgether

Our partner is looking for a Kafka Engineer with IRS MBI Clearance based in Netherlands. This role ... Benefits * Full-time remote work opportunity. * Opportunity to contribute to high-impact government ...

Booz Allen Hamilton, Inc.

Knowledge Manager

Washington, DC · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0241262 Location: Washington,DC,US Share job via: Share Knowledge ... We're looking for you, a web developer who will use equal parts skill and vision to create an ...

Booz Allen Hamilton, Inc.

Knowledge Manager

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244379 Location: Arlington,VA,US Share job via: Share Knowledge ... purpose programming languages for data analysis * Experience working with Mavin Smart Systems

Booz Allen Hamilton, Inc.

Knowledge Manager

Washington, DC · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0241852 Location: Washington,DC,US Share job via: Share Knowledge ... We're looking for you, a web developer who will use equal parts skill and vision to create an ...

Booz Allen Hamilton, Inc.

Knowledge Manager

Washington, DC · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0240624 Location: Washington,DC,US Share job via: Share Knowledge ... You'll analyze discussions with leadership and developers that will help refine your client ...

Jobgether

$40.75 - $55.75/hr

... with strong infrastructure knowledge, programming skills, and the ability to solve complex ... Fully remote work environment with flexible working hours and the ability to work from anywhere ...

Abaxis

HPC Platform Product Lead

Portage, MI · On-site +1

Bachelor's degree in computer science, Engineering, Information Systems, or equivalent practical ... PHYSICAL POSITION REQUIREMENTS Primarily office/remote knowledge-work role; prolonged periods of ...

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Remote Knowledge Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote knowledge engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote knowledge engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Knowledge Engineer, and why are they important?

To excel as a Remote Knowledge Engineer, you generally need expertise in knowledge management, ontologies, data modeling, and a relevant degree in computer science or information science. Familiarity with technical tools such as semantic web technologies (e.g., RDF, OWL), knowledge graph platforms, and query languages like SPARQL is often required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating across distributed teams and translating complex information. These skills ensure the creation, organization, and optimization of knowledge systems that support informed decision-making and efficient remote operations.

What is the difference between Remote Knowledge Engineer vs Remote Data Scientist?

AspectRemote Knowledge EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of ontologies and knowledge basesBachelor's or higher in CS, Statistics, or related; proficiency in programming and statistical analysis
Work EnvironmentCollaborates with AI teams, develops knowledge systems, often in tech or AI companiesAnalyzes data, builds models, works in tech, finance, or healthcare sectors
Employer & Industry UsageUsed in AI, knowledge management, and enterprise solutionsCommon in data-driven industries like tech, finance, healthcare

While both roles involve technical expertise, Remote Knowledge Engineers focus on developing and managing knowledge bases and AI systems, whereas Remote Data Scientists analyze data to derive insights. Both roles often work in tech industries and require strong technical backgrounds, but their core responsibilities differ significantly.

What is a Remote Knowledge Engineer?

A Remote Knowledge Engineer is a professional who designs, develops, and maintains systems that organize and manage knowledge, often using artificial intelligence and machine learning. They work from a remote location, leveraging digital tools to gather, structure, and analyze information for organizations. Their responsibilities may include building knowledge graphs, developing ontologies, and ensuring that data is accessible and usable for decision-making. Remote Knowledge Engineers collaborate with subject matter experts, software developers, and data scientists to optimize knowledge management solutions. They play a key role in helping organizations turn complex data into actionable insights, all while working outside of a traditional office environment.

How does a Remote Knowledge Engineer typically collaborate with subject matter experts and development teams?

As a Remote Knowledge Engineer, you will frequently interact with subject matter experts (SMEs) to extract, structure, and validate knowledge for use in AI systems or knowledge bases. Collaboration is often conducted through virtual meetings, shared documentation, and project management tools. You’ll also work closely with developers to integrate structured knowledge into systems and ensure accuracy. Effective communication and the ability to translate complex concepts into structured data formats are key to success in this remote, cross-functional environment.
More about Remote Knowledge Engineer jobs
What cities are hiring for Remote Knowledge Engineer jobs? Cities with the most Remote Knowledge Engineer job openings:
What are the most commonly searched types of Knowledge Engineer jobs? The most popular types of Knowledge Engineer jobs are:
What states have the most Remote Knowledge Engineer jobs? States with the most job openings for Remote Knowledge Engineer jobs include:
What job categories do people searching Remote Knowledge Engineer jobs look for? The top searched job categories for Remote Knowledge Engineer jobs are:
Remote Knowledge Engineer jobs near you
Infographic showing various Remote Knowledge Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Kafka Engineer with IRS MBI Clearance

Jobgether

Remote

Full-time

Posted 10 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Kafka Engineer with IRS MBI Clearance based in Netherlands.

This role offers the opportunity to support critical, large-scale messaging and event streaming platforms within a secure, mission-driven environment.
You will be responsible for designing, maintaining, and optimizing Apache Kafka infrastructure that enables reliable data exchange across enterprise applications.
Working closely with development and infrastructure teams, you will ensure high availability, performance, and operational excellence across production environments.
The position combines hands-on platform engineering, system administration, performance tuning, and incident resolution.
You will contribute to the continuous improvement of cloud and messaging infrastructure while adhering to strict security and change management standards.
This is an excellent opportunity for an experienced Kafka professional who thrives in complex technical environments and enjoys solving infrastructure challenges.

Accountabilities
  • Design, deploy, administer, and maintain Apache Kafka environments to support reliable messaging and event streaming solutions.
  • Create, configure, and manage Kafka topics, producers, consumers, connectors, and related platform components.
  • Monitor Kafka clusters, identify performance bottlenecks, troubleshoot production issues, and implement timely resolutions.
  • Perform system upgrades, configuration changes, capacity planning, and performance tuning to ensure platform stability and scalability.
  • Collaborate with software developers, DevOps, and infrastructure teams to support application integration and event-driven architectures.
  • Implement operational best practices for Kafka administration, monitoring, logging, and system reliability.
  • Ensure all platform activities comply with security requirements, operational procedures, and change management processes.
  • Contribute to continuous improvement initiatives that enhance platform performance, resilience, and operational efficiency.
Requirements
  • 5+ years of professional experience working with Apache Kafka in production environments.
  • Strong expertise in Kafka administration, configuration, troubleshooting, and performance optimization.
  • Experience designing and supporting distributed messaging and event streaming platforms.
  • Proficiency with Linux system administration and experience using Java and/or Python.
  • Hands-on experience with infrastructure monitoring, logging, and observability tools.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to resolve complex production issues.
  • Excellent communication and collaboration skills for working with cross-functional technical teams.
  • Active IRS MBI Clearance is required.
  • Previous experience supporting IRS or other federal government projects is considered an advantage.
Benefits
  • Full-time remote work opportunity.
  • Opportunity to contribute to high-impact government and public sector technology initiatives.
  • Exposure to enterprise-scale Kafka infrastructure and event-driven architecture.
  • Collaborative environment working alongside experienced engineering and infrastructure professionals.
  • Opportunity to strengthen expertise in distributed systems, messaging platforms, and production operations.
  • Long-term role supporting mission-critical technology environments.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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