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Graph Database Jobs in Ontario (NOW HIRING)

... graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and ... Apply Data Modeling techniques to optimize databases/APIs * Write optimized SQL to analyze and ...

Design and implement efficient databases (e.g., SQL, NoSQL, Knowledge Graph) to store and manage prototype data. * Integrate with third-party APIs and services as needed (e.g. MCP servers). * Write ...

Expertise in teaching models to use external APIs, databases, and legacy tools effectively. You ... Experience with graph-based data structures is a plus. * Cloud Native Agent Infrastructure: Strong ...

Expertise in teaching models to use external APIs, databases, and legacy tools effectively. You ... Experience with graph-based data structures is a plus. * Cloud Native Agent Infrastructure: Strong ...

Experience with SQL and NoSQL databases is essential. * Knowledge graph * Use Git for version control and collaborative development, ensuring all code is well-documented and follows best practices.

Experience with SQL and NoSQL databases is essential. * Knowledge graph * Use Git for version control and collaborative development, ensuring all code is well-documented and follows best practices.

Experience with SQL and NoSQL databases is essential. * Knowledge graph * Use Git for version control and collaborative development, ensuring all code is well-documented and follows best practices.

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Graph Database information

See Ontario salary details

$31K

$119.6K

$157.5K

How much do graph database jobs pay per year?

As of Jun 10, 2026, the average yearly pay for graph database in Ontario is $119,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

What are the key skills and qualifications needed to thrive in the Graph Database position, and why are they important?

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.

What are popular job titles related to Graph Database jobs in Ontario? For Graph Database jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Graph Database jobs in Ontario look for? The top searched job categories for Graph Database jobs in Ontario are:

Senior Full Stack Developer ERP & AI Systems

ITPS (Canada) LTD

London, ON โ€ข On-site

Full-time

Posted 10 days ago


Job description

Salary:

Senior Full Stack Developer ERP & AI Systems

ITPS Canada Ltd. London, Ontario


Build the system that runs a flight school.


ITPS is developing a Flight School Management System (FSMS) a full-scale ERP platform that powers our training operations, flight and simulator scheduling, maintenance tracking, and procurement workflows.

This is not a typical web app. Its a mission-critical operational system used in a real-world aviation environment.

Were looking for a senior full stack developer who wants to take ownership of a complex system, shape its architecture, and help us integrate AI-driven capabilities into day-to-day operations.


What Youll Work On

Youll be building and evolving a multi-module ERP platform that includes:

  • Flight & simulator scheduling (high-constraint, real-world logistics)
  • Training and student progression tracking
  • Maintenance planning and compliance workflows
  • Procurement and operational support systems
  • Cross-system integrations (financial, scheduling, communications)


Youll also help introduceAI-enabled features, such as:

  • Intelligent scheduling assistance and conflict detection
  • Automated report generation and data summarization
  • Natural language interaction with operational data
  • Workflow automation and decision support tools


Your Role

  • Design and implement end-to-end features across the stack
  • Architect scalable backend services and data models
  • Build responsive, data-rich frontend interfaces
  • Work directly with stakeholders (operations, maintenance, training) to translate real-world needs into software
  • Own system quality: performance, reliability, and maintainability
  • Contribute to technical direction, architecture, and tooling decisions
  • Integrate AI capabilities into production workflows


Tech Stack

  • Backend: PHP (Laravel)
  • Frontend: React, JavaScript (ES6+), HTML, CSS
  • Database: MySQL
  • Tools: Git (Gitea / Perforce), FullCalendar
  • Integrations: REST APIs, Microsoft Graph


What Were Looking For


Core Experience

  • Strong experience building and shipping full stack applications in production
  • Deep proficiency with:
    • PHP (Laravel)
    • React / modern JavaScript
    • Relational databases (MySQL or similar)
  • Experience designing APIs and integrating external systems
  • Ability to think in terms of systems, not just features


AI & Modern Development

  • Experience integrating AI tools or APIs into applications (OpenAI, Claude, etc.)
  • Comfort using AI-assisted development workflows
  • Interest in applying AI to real operational problems (automation, decision support)


Mindset

  • Product-minded: you care how the system is used, not just how its built
  • Strong ownership: you can take a problem from concept to production
  • Comfortable working across domains and with non-technical stakeholders
  • Pragmatic and adaptable in a growing system


Nice to Have

  • Experience with ERP, scheduling, or operations platforms
  • Experience with financial or procurement systems
  • Familiarity with Linux / Bash
  • Experience in aviation, aerospace, or safety-critical environments
  • Exposure to Node.js or mobile development


Why This Role

  • Real-world impact your work directly supports flight operations and safety
  • High ownership influence architecture, product direction, and system design
  • Complex problems scheduling, logistics, and multi-domain workflows
  • AI opportunity help define how AI is applied in an operational environment
  • Stable + meaningful domain aviation training and operations


How to Apply

If youre interested, send us:

  • Your resume
  • A brief note on systems youve built or owned
  • (Optional) Examples of AI integration or automation youve implemented


Final Note

Were not looking for someone to just execute tickets.

Were looking for someone who wants to build and own a system that matters.

AI Disclosure:We may use artificial intelligence tools to assist with scheduling interviews and managing screening times. We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.