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Remote Knowledge Graph Software Engineer Jobs in St Louis, MO

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245880 Location: O'Fallon,IL,US Share job via: Share Data Engineer ... Experience creating software for retrieving, parsing, and processing structured and unstructured ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team ...

Cogent, Inc

Control Systems Engineer

Fenton, MO · On-site +1

You'll bring together your knowledge of controls hardware, PLC/HMI programming, and process ... Coordinate with mechanical, electrical, and software engineering teams for seamless system ...

Booz Allen Hamilton, Inc.

Agentic AI Developer

O Fallon, IL · On-site +1

$99K - $225K/yr

Experience with software design patterns * Knowledge of embedding models, vector databases, and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

S2Tech

Manual Test Engineer (Remote)

Chesterfield, MO · On-site +1

The Test Engineer will play a critical role in ensuring the quality of our healthcare software ... Strong domain knowledge of MMIS/MES, Healthcare Payer, Medicaid/Medicare systems, member ...

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Showing results 41-60

All JobsKnowledge Graph Software Engineer JobsRemote Knowledge Graph Software Engineer JobsRemote Knowledge Graph Software Engineer Jobs in St. Louis, MO

Remote Knowledge Graph Software Engineer information

See St Louis, MO salary details

$61.7K

$143.4K

$199.8K

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

As of Sep 1, 2026, the average yearly pay for remote knowledge graph software engineer in St. Louis, MO is $143,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $168,200.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Knowledge Graph Software Engineer jobs in St. Louis, MO?

For Remote Knowledge Graph Software Engineer jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Graph Software Engineer jobs in St. Louis, MO look for?

The top searched job categories for Remote Knowledge Graph Software Engineer jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Knowledge Graph Software Engineer jobs?

Cities near St. Louis, MO with the most Remote Knowledge Graph Software Engineer job openings:

Remote Knowledge Graph Software Engineer jobs near you
Infographic showing various Remote Knowledge Graph Software Engineer job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $143,426 per year, or $69 per hour.

Software Engineer Sr - Fullstack/Vue

The Timberline Group

Maryland Heights, MO • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

US Citizens or GC Holders only
Must be on our W2- no C2C
Local candidates only
Onsite- 2-3 days per week
RESPONSIBILITIES:
Full Stack Development
  • Design and build end-to-end full-stack applications using Node.js on the backend and Vue.js on the frontend, delivering cohesive, production-ready features from database to UI.
  • Develop scalable REST/GraphQL APIs and microservices that integrate with platform technologies such as Apache Solr, MongoDB, PostgreSQL, Oracle, and RabbitMQ deployed on Kubernetes.
  • Build and maintain internal libraries and SDKs that simplify consumption of platform services, and refactor existing applications for efficiency, reliability, and maintainability.
  • Lead architecture decisions for new features, ensuring solutions align with Twelve-Factor App principles and best practices.
AI-Assisted & Agentic Engineering
  • This role requires comfort working alongside AI-powered tools while maintaining strong engineering judgment, validation, and accountability for outcomes.
  • Sr Developers will contribute to the adoption and continuous improvement of AI-enabled workflows by providing feedback, identifying opportunities for automation, and safely incorporating AI assistance into repeatable operational patterns.
  • This includes leveraging approved AI tools and agents to assist with platform operations, troubleshooting, automation, documentation, and workflow efficiency under established governance and best practices.
  • Sr Developers on the INFOPS Application Development team are expected to actively use and support AI-assisted and agentic engineering workflows as part of their day-to-day work.
  • Develop agent-to-agent (A2A) AI workflows or applications.
  • Design, implement, and maintain MCP (Model Context Protocol) servers that expose enterprise data and capabilities to AI agents and LLM-powered workflows.
CI/CD & DevOps
  • Own and evolve CI/CD pipelines using GitHub, Jenkins, and Codefresh, from commit hooks through automated testing and production deployment.
  • Develop and maintain deployment orchestration tools and automation workflows on Kubernetes-based platforms (including OpenShift).
  • Drive DevOps improvements: infrastructure-as-code, automated testing, deployment reliability, and monitoring with Prometheus and Grafana.
  • Participate in on-call rotation, monthly maintenance windows, and platform lifecycle tasks to ensure platform reliability.
Leadership & Collaboration
  • Mentor mid-level and junior developers, conducting code reviews and sharing architectural knowledge to elevate team capability.
  • Work with customers and stakeholders to understand integration needs and translate business requirements into robust engineering solutions.
  • Collaborate with partner engineering teams to drive efficiencies across the organization and contribute to best practices.
  • Maintain strong documentation and actively contribute to team knowledge sharing.
  • Work effectively in a fast-paced environment with shifting priorities, balancing support work, ad hoc requests, and project deliverables.

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, MIS, or related field, or equivalent experience
  • 5+ years of professional development experience with a strong full-stack focus
  • 5+ years of experience with JavaScript and Node.js, building production APIs, services, and microservices
  • 3+ years of experience with Vue.js; component design, state management (Pinia/Vuex), and frontend architecture.
  • Hands-on experience using AI coding tools (Claude, GitHub Copilot, M365 Copilot, Windsurf) in a professional engineering context
  • Experience building or integrating with MCP (Model Context Protocol) servers or similar AI agent integration patterns
  • CI/CD and DevOps experience: pipeline authoring, automated testing, deployment automation (GitHub Actions, Jenkins, Codefresh, or equivalent)
  • Experience with GitHub, Docker, and Kubernetes
  • Experience with Linux/Unix and shell scripting
  • Familiarity with microservices, Twelve-Factor App principles, and cloud-native development
  • Strong test-first mindset with experience in unit, integration, and end-to-end testing
  • Ability to analyze requirements and communicate effectively, both verbally and in writing
  • Team-oriented with strong work ethic, collaboration skills, and the ability to mentor others
  • Strong problem-solving, change management, and technical planning abilities

PREFERRED QUALIFICATIONS:
  • Experience with Java, Grails, Python, or Go
  • Experience with React frontend development
  • Experience with IDP concepts and platforms like Backstage
  • REST API design and implementation, including OpenAPI/Swagger documentation, API gateway and routing patterns
  • Familiarity with secure, minimal containers: Minimus, Docker Hardened Images, etc.
  • Kubernetes-based platforms such as OpenShift
  • Cloud providers, especially Azure
  • Databases: MongoDB, Oracle, PostgreSQL
  • Messaging, search, and caching tools: RabbitMQ, Apache Solr, Redis
  • Containers and automation tools: Docker, Ansible
  • Monitoring tools: Prometheus, Grafana, Splunk
  • Prior experience designing AI-driven internal tooling or copilot integrations

The Timberline Group
Phone: 636-209-5537
PO Box 385, Lebanon, MO 65536
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"

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