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Remote Knowledge Graph Software Engineer Jobs in Richmond, VA

Lead Software Engineer (Java)

Richmond, VA · On-site +1

$120K - $140K/yr

Software Engineer (Full Stack) Our client, a consulting company, is seeking a Full Stack Software ... This is a REMOTE role. Snapshot of the client: * The company is well respected in the Richmond ...

Senior Software Engineer

Richmond, VA · On-site +1

$121K - $159K/yr

POSITION LOCATION New York, NY Remote (US) This position is available to Virginia residents as ... Share knowledge through clear documentation, design discussions, and code reviews that reinforce ...

Senior Software Engineer

Richmond, VA · On-site +1

$121K - $159K/yr

POSITION LOCATION Richmond, Virginia Open to Remote This position is available to Virginia ... and Quality Assurance Knowledge and experience in software development methodologies (e.g ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

NAVA Software solutions is looking for a Data Engineer Details: Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java ...

Senior Software Engineer, Java

Richmond, VA · On-site +1

$123K - $162K/yr

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... Good understanding of Software Engineering principles * Flexibility and proven ability to deliver ...

Sr Systems Software Developer

Glen Allen, VA · Remote

$55.75 - $73.75/hr

Senior Systems Software Developer (Remote) Remote | long term | Active IRS MBI Clearance Required Seeking a Senior Systems Software Developer with 10+ years of experience in system-level software ...

Fullstack Engineer

Richmond, VA · On-site +1

$115K - $141K/yr

Share knowledge and collaborate across teams to solve complex business and technical challenges ... to accelerate software development Location: Richmond, VA; Arlington, VA; or Remote (U.S.

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Remote Knowledge Graph Software Engineer information

See Richmond, VA salary details

$62.8K

$146K

$203.4K

How much do remote knowledge graph software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote knowledge graph software engineer in Richmond, VA is $145,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $171,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a remote knowledge graph software engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a remote knowledge graph software engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Richmond, VA? The most popular types of Knowledge Graph Software Engineer jobs in Richmond, VA are:
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What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Richmond, VA look for? The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Remote Knowledge Graph Software Engineer jobs? Cities near Richmond, VA with the most Remote Knowledge Graph Software Engineer job openings:

AI Software Engineer

Digital Links Inc

Glen Allen, VA • Remote

Contractor

Re-posted 29 days ago


Job description

Job Description:

 
Job Title: AI Software Engineer (AI-Driven Development Focus)
Job Type:
Location: Remote (U.S.-based preferred)
Clearance: Public Trust (Required / Must be eligible)
 
Position Overview:
We are seeking highly motivated, early-career Full Stack Software Engineers who bring strong multi-technology expertise and a passion for modern, AI-driven software development. These individuals will support federal programs by building scalable, secure, and user-centric applications.
The ideal candidates are technically versatile, fast learners, and intuitive “vibe coders”—developers who can rapidly prototype, iterate, and deliver solutions using AI-assisted development tools while maintaining strong engineering discipline.
 
Key Responsibilities:
Design, develop, and maintain full-stack applications in a remote, distributed team environment
Build modern, responsive user interfaces using React
Develop backend services and APIs using Java and/or Python
Implement and support CMS solutions, including Drupal
Utilize AI-driven coding tools (e.g., Copilot, generative AI assistants) to enhance productivity and code quality
Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)
Ensure application security, scalability, and performance aligned with federal standards
Conduct code reviews, testing, and deployment support
Troubleshoot and resolve issues across the full technology stack
 
Required Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
2–5 years of hands-on full-stack development experience
 
Proficiency in:
Java
Python
JavaScript (ES6+)
Hands-on experience with React
Experience working with Drupal or similar CMS platforms
Understanding of REST APIs, microservices, and modern architectures
Experience with Git or similar version control systems
Ability to work effectively in a fully remote environment
 
Preferred Qualifications:
Experience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, automation frameworks)
Exposure to cloud environments (AWS, Azure, or GCP)
Knowledge of CI/CD pipelines, DevOps practices, and containerization (Docker/Kubernetes)
Familiarity with SQL/NoSQL databases
Prior experience supporting federal or government clients
Knowledge of Section 508 accessibility standards
Security Requirements:
Must be eligible for and able to obtain a Public Trust clearance
U.S. Citizenship or lawful eligibility may be required based on federal guidelines
Ability to pass background investigation
 
Key Competencies:
Multi-Stack Versatility: Comfortable working across frontend, backend, and CMS platforms
AI-First Mindset: Leverages modern AI tools to accelerate development
Creative Problem Solving (“Vibe Coding”): Builds intuitive, efficient solutions quickly
Collaboration: Strong communication skills in a remote team setting
Ownership & Accountability: Delivers high-quality work with minimal supervision