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Remote Knowledge Graph Software Engineer Jobs (NOW HIRING)

Squirro

Knowledge Graph Engineer

New York, NY · Remote

USD 100'000-150'000 We are looking for a Knowledge Graph Engineer to join our team in the US ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Futran Tech Solutions Pvt. Ltd.

Software Engineer

Role: Software Engineer Location: Remote Duration: 6+ Months Required Skills * 8-10+ years of ... Experience working on Knowledge Graph or semantic systems, including ontology-driven design and ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ ... Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling.

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

As of Jul 14, 2026, the average yearly pay for remote knowledge graph software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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, and why are they important?

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.
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Remote Knowledge Graph Software Engineer jobs near you
Infographic showing various Remote Knowledge Graph Software Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Knowledge Graph Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted yesterday

Job description

Job Description2 (knowledge graph engineer)
Remote
Responsibilities:
The ideal candidate will have expertise in designing, implementing, and optimizing graph databases, with a strong focus on utilizing Neo4j or other graph databases for knowledge graph applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships.
  • Design and implement graph databases to efficiently store and retrieve high-dimensional data.
  • Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability.
  • Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and relationships.
  • Implement graph algorithms to extract meaningful insights from the knowledge graph.
  • Optimize database queries, finetune graphs, indexing strategies for graph operations.
  • Identify and resolve performance bottlenecks to ensure efficient data retrieval.
  • Collaborate with application developers to integrate graph databases, knowledge graphs into various software solutions.
  • Provide support for query optimization and data modeling for application-specific requirements.
  • Implement and maintain data security measures for graph databases and knowledge graphs.
  • Ensure compliance with relevant data protection regulations and industry standards.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical skills:
  • Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience is required
  • Solid understanding of graph data modeling, graph schema development, graph data design.
  • Familiarity with machine learning and GenAI concepts related to graph data.
  • Experience with cloud-based database solutions and knowledge of distributed database systems.
  • Proven experience in designing and implementing graph databases, knowledge graph with a focus on Neo4j or other like Neptune/Cosmos/TigerGraph etc. for knowledge graph applications.
  • Strong proficiency in database optimization, performance tuning, and query languages.
  • Familiarity with graph algorithms and data modeling for knowledge graphs.
  • Experience with other relevant programming languages, such as Python, Java, or Scala.
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

Soft skills:
  • Strong work ethic and desire to produce quality results
  • Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
  • Continuous Improvement mindset and approach to work product
  • Ability to take complex subjects and simplify it to less technical individuals
  • Provides clear documentation of processes, workflows, recommendations, etc.
  • High level of critical thinking capabilities
  • Organized and has the ability to manage work effectively, escalating issues as appropriate
  • Takes initiative & is a self-starter
  • Displays ownership of their work (quality, timeliness)
  • Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
  • Should be able to communicate with stakeholders directly and independently
  • Should have good problem solving skills

Candidate Profile:
  • 8+ years of experience working with data engineering with atleast 2-3 years of experience working on graph databases.
  • Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Outstanding written and verbal communication skills
  • Superior analytical and problem solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

Apply