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Remote Knowledge Graph Software Engineer Jobs in Fort Worth, TX

Android Mobile Developer [100% Remote]

Dallas, TX · Remote

$57 - $75/hr

Design, code, and test application software, as well as modify existing software to reflect changes ... REST, Graph-QL, JSON * Unit tests and Bug Fixing * Understanding of OOP * Knowledge of architecture ...

Sr. Software Engineer - Accounting

Richardson, TX · On-site +1

$110K - $145K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Knowledge of Ruby on Rails and experience working with a language like Ruby, Java, or Python.

Senior Software Engineer

Dallas, TX · On-site +1

$130K - $170K/yr

S. (Mobile and Remote Service). With Curbee., it's simple: dealerships send the right van to the ... We connect in person often, transferring knowledge, building our culture and learning firsthand in ...

Sr. Software Engineer - Accounting

Richardson, TX · On-site +1

$110K - $145K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Knowledge of Ruby on Rails and experience working with a language like Ruby, Java, or Python.

Sr. Software Engineer - Accounting

Richardson, TX · On-site +1

$110K - $145K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Knowledge of Ruby on Rails and experience working with a language like Ruby, Java, or Python.

Sr. Software Engineer - Accounting

Richardson, TX · On-site +1

$110K - $145K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Knowledge of Ruby on Rails and experience working with a language like Ruby, Java, or Python.

Showing results 21-40

Remote Knowledge Graph Software Engineer information

See Fort Worth, TX salary details

$60.9K

$141.4K

$196.9K

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

As of Aug 7, 2026, the average yearly pay for remote knowledge graph software engineer in Fort Worth, TX is $141,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $165,800.00 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 popular job titles related to Remote Knowledge Graph Software Engineer jobs in Fort Worth, TX? For Remote Knowledge Graph Software Engineer jobs in Fort Worth, TX, the most frequently searched job titles are:
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What cities near Fort Worth, TX are hiring for Remote Knowledge Graph Software Engineer jobs? Cities near Fort Worth, TX with the most Remote Knowledge Graph Software Engineer job openings:
Infographic showing various Remote Knowledge Graph Software Engineer job openings in Fort Worth, TX as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $141,385 per year, or $68 per hour.

Junior Software Engineer

Mountain Top Talent LLC

Dallas, TX • Remote

Full-time

Re-posted 20 hours ago


Job description

Job Title: Junior Software Engineer

Location: [Remote] / Preferred Location Dallas, TX, Huntsville, AL or Grand Rapids, MI

Clearance Required: Must be a U.S. Citizen with ability to obtain a Secret clearance

Job Type: Full-time / Entry Level

Travel: Travel 10% of the time to customer sites and Jovian HQ.

Position Summary:

We are looking for a Junior Software Engineer to join our dynamic team supporting the development of software applications, tools and frameworks supporting aviation and ground-based systems for Department of Defense (DoD) programs. This is an exciting opportunity for a recent engineering graduate to begin their career in a mission-driven environment, working on cutting-edge technologies that support national defense and warfighter capabilities.

You will perform multiple activities in the software development lifecycle under the guidance of senior engineers and technical leads.

Responsibilities:

  • Support the development of functional, interface and technical requirements and use cases. 
  • Develop UI prototypes for the tools when required. 
  • Perform software verification by developing automated testing procedures, solutions and frameworks.
  • Perform use acceptance testing and UI testing.
  • Follow the full lifecycle software development process.
  • Participate in design and code reviews.
  • Support the software deployment process.
  • Look for security vulnerabilities in coding.
  • Collaborate with team members, project leads and customers.
  • Use AI and other tools to accelerate learning and create deliverables.

Basic Qualifications:

  • Bachelors Degree in Computer Science, Computer Engineering, Software Engineering or related field.
  • Strong interest in development of software applications, tools and frameworks in desktop, cloud and web environments.
  • Strong interest in defense systems, aviation, unmanned systems, or ground vehicle technologies.
  • Basic understanding of software engineering principles and the software development lifecycle.
  • Familiarity with one or more languages: Java, JavaScript, C#, C++, C.
  • Excellent problem-solving, analytical, and written/verbal communication skills.
  • Must be a U.S. Citizen and eligible to obtain a DoD security clearance.

Preferred Qualifications:

  • Internship, co-op, or project experience.
  • Experience with Generative AI applications.
  • Experience with UML or SysML.
  • Experience with virtual and cloud computing environments (AWS, Azure, Docker, etc.).
  • Experience with software IDEs (Visual Studio, Eclipse) and git.
  • Experience with Service Oriented Architecture, REST, or microservice development.

What We Offer:

  • Mentorship and hands-on experience with real-world software solutions for defense platforms.
  • Opportunities to explore emerging technologies such as ML / AI and their applications in the DoD space.
  • Career growth in a multidisciplinary team working on mission-critical technologies.
  • Training and certification opportunities (e.g., MBSE, security clearance sponsorship). 
  • Competitive compensation and benefits package.