waterloo on network engineer Jobs – 85 Openings This Week

Data Knowledge Engineer
Maplesoft Group —Guelph, ON
- $85–$115 an hour
- Hybrid work
- English
- Computer networking
Intermediate Controls Integrator
Samuel, Son & Co. —Waterloo, ON
- $37.85–$47.31 an hour
- Full-time
- Engineering
- English
- C++
Quick apply
Senior Software Engineer-DevOps
PlayStation Global —Waterloo, ON
- $139,100–$208,700 a year
- Hybrid work
- Computer Science
- DevOps
- Engineering
Forward Deployed Engineer (Healthcare Integrations)
NERv Technology Inc. D.B.A. FluidAI Medical —Kitchener, ON
- $100,000 a year
- Full-time
- English
- EMR systems
- APIs
Quick apply
React and iOS Engineer
Venuiti —Waterloo, ON
- $100,000–$120,000 a year
- Full-time
- Computer networking
- In-person
- Communication skills
- Dental care
- Paid time off
Quick apply
8d
Cloud Automation Engineer
Gore Mutual Insurance —Cambridge, ON
- $64,500–$114,500 a year
- On call
- Hybrid work
- Azure
- DevOps
- Engineering
- Disability insurance
- Dental care
Systems Engineer
RWDI —Guelph, ON
- $95,000–$135,000 a year
- Full-time
- Management
- DevOps
- Engineering
Senior Software Developer (Java Modern Backend Development)
Descartes —Waterloo, ON
- $90,000–$110,000 a year
- Full-time
- Java
- AWS
- AI
- Flexible schedule
Senior Cloud Developer
Verily —Waterloo, ON
- $146,500–$164,500 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
Technical Lead
Descartes —Waterloo, ON
- $120,000–$140,000 a year
- Full-time
- Azure
- DevOps
- System design
- Flexible schedule
Principal RF Engineer
Spire Global —Cambridge, ON
- $152,000–$180,000 a year
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Wellness program
- Employee stock purchase plan
Platform Engineer
Eclipse Automation —Cambridge, ON
- $120,000–$135,000 a year
- Full-time
- Azure
- DevOps
- In-person
- Dental care
- Vision care
Quick apply
Head of Engineering
SkyWatch —Kitchener, ON
- Full-time
- Hybrid work
- Leadership
Senior Software Developer, Engineering Productivity Platforms and Devices
Google —Waterloo, ON
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
2d
Sr. Software Engineer (Tel Core)
Dialpad —Kitchener, ON
- $151,000–$175,000 a year
- On call
- Computer Science
- C++
- Bachelor's
Commissioner, Water and Wastewater Services
Region of Waterloo —Kitchener, ON
- $200,218.20–$266,975.80 a year
- Full-time
- Hybrid work
- Travel
- Leadership
14d
Senior Software Developer, Site Reliability Engineering
Google —Waterloo, ON
- $182,000–$187,000 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior Electrical Engineer
GHD —Waterloo, ON
- Hybrid work
- Microsoft Excel
- Analysis skills
- Bachelor's
Power Systems Automation Specialist
Eaton —Kitchener, ON
- $82,000–$102,000 a year
- AutoCAD
- Computer science
- Schematics
13h
Staff Site Reliability Developer, Protected Data SRE
Google —Waterloo, ON
- $216,000–$222,000 a year
- Full-time
- Computer Science
- Inventory management
- Java

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Data Knowledge Engineer

Maplesoft Group -
Guelph, ON

Apply Now

Job details

Fixed term contract
$85–$115 an hour

Qualifications

Ontology
Data modeling
English
Computer networking
Unity
Metadata
Identity & access management

Full job description

Title

Data Knowledge Engineer

Location

Hybrid in Guelph, ON

Start Date

03-30-2026

Language

English

Salary

$85.00 – $115.00 per hour

Security Clearance

None

Duration

6 Months

Date Posted

03-12-2026

Job ID

14146

Recruiter Email

[email protected]

Job Title: Data Knowledge Engineer
Contract Length: 6 Months
Location: Hybrid in Guelph, ON
Federal Government Clearance Level Required: None
Vacancy Type:

New Position

________________________________________

About Us:
Maplesoft Group is currently seeking a Hybrid Data Knowledge Engineer for our client.
________________________________________

Position Summary:
The Data Knowledge Engineer plays a critical role in enabling the organization’s transition toward AI-driven analytics and data navigation. This role is responsible for designing, developing, and maintaining the enterprise data knowledge graph—a structured network of metadata, business definitions, relationships, and governance policies that enables AI systems and analytics platforms to accurately interpret and navigate enterprise data.

Working within the Data Governance team, the Data Knowledge Engineer ensures that enterprise data assets are described, connected, and governed in a way that supports trusted analytics, AI-driven insights, and responsible data usage across the organization.

This role bridges data governance, data architecture, and analytics engineering to ensure that business meaning, data ownership, policies, and lineage are represented in a machine-readable format that supports modern data platforms and AI interfaces.
________________________________________
Key Responsibilities

1. Enterprise Data Knowledge Graph Development

Design and maintain the enterprise data knowledge graph by connecting metadata across the organization’s data ecosystem. Responsibilities include:
Defining relationships between data assets, business concepts, policies, and ownership
Modeling connections between data products, datasets, semantic models, metrics, and domains
Ensuring metadata relationships support AI-driven data discovery and navigation
Maintaining graph integrity as data platforms and architectures evolve

2. Metadata Integration and Architecture

Integrate metadata across enterprise platforms to create a unified metadata ecosystem.
Metadata sources may include:
Data catalog platforms (e.g., Microsoft Purview)
Lakehouse governance platforms (e.g., Databricks Unity Catalog)
Analytics and semantic layers (e.g., Microsoft Fabric semantic models)
Data pipelines and lineage systems
Identity and access management systems
Ensure metadata relationships are captured and represented consistently across the ecosystem.

3. Semantic Model Alignment

Collaborate with analytics, data engineering, and domain teams to ensure semantic models accurately represent business meaning.
Responsibilities include:

• Aligning semantic models with business glossary definitions
• Supporting standardization of enterprise metrics
• Ensuring consistent interpretation of key business concepts across analytics assets
• Connecting semantic models to underlying data products and datasets

4. Governance Policy Enablement

Translate governance policies into machine-readable metadata and policy structures that support automated enforcement.
Examples include:

• Data classification rules
• Access control policies
• Regulatory restrictions
• Trust signals and certification indicators

This work supports dynamic governance capabilities, such as AI-mediated data access and trust-based query evaluation.

5. Data Product Context and Ownership

Support the governance framework for enterprise data products by ensuring that critical metadata elements are defined and maintained.
Examples include:

• Data product ownership
• Steward assignments
• Domain alignment
• Certification status
• Data quality indicators

These elements become core nodes within the enterprise knowledge graph.

6. AI Readiness and Data Context

Ensure enterprise data assets are described in ways that allow AI systems and copilots to interpret them accurately.
This includes ensuring that:

• Business definitions are clear and standardized
• Authoritative datasets are identified and documented
• Data relationships are well understood
• Governance policies are visible to AI navigation systems
________________________________________

Required Qualifications

Experience with enterprise metadata management and data catalog platforms
Knowledge of modern data architectures (lakehouse, medallion, data products)
Experience with semantic data modeling and metrics layers
Familiarity with data lineage, metadata frameworks, and governance concepts
Ability to model relationships between data assets, business meaning, ownership, and policies
Experience integrating metadata across multiple enterprise data platforms
Strong collaboration skills across technical and business teams

Preferred technologies:

Microsoft Purview
Databricks Unity Catalog
Microsoft Fabric
Knowledge graph or ontology modeling concepts
Data governance frameworks (DAMA, DCAM)

________________________________________

Compensation
Salary Range: $85.00 – $115.00 per hour
________________________________________

Our recruitment process is led by human recruiters who review all applications and make the final hiring decisions. We use AI-assisted tools to help screen and organize applications. These tools do not replace human judgment, and all hiring decisions are made by people.
Please note that data collected by the Company may be stored or processed on servers located outside of Canada.
________________________________________

Application Submission Details
Submission Deadline:
Friay, March 20, 2026

How to Apply:
Submit your resume (and cover letter) to:

[email protected]

https://www.maplesoftgroup.com/Careers/Career-Opportunities

________________________________________

Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.

Apply Now

Refine Your Search

network engineer jobs in waterloo on

Data Knowledge Engineer

Intermediate Controls Integrator

Senior Software Engineer-DevOps

Forward Deployed Engineer (Healthcare Integrations)

React and iOS Engineer

Cloud Automation Engineer

Systems Engineer

Senior Software Developer (Java Modern Backend Development)

Senior Cloud Developer

Technical Lead

Principal RF Engineer

Platform Engineer

Head of Engineering

Senior Software Developer, Engineering Productivity Platforms and Devices

Sr. Software Engineer (Tel Core)

Commissioner, Water and Wastewater Services

Senior Software Developer, Site Reliability Engineering

Senior Electrical Engineer

Power Systems Automation Specialist

Staff Site Reliability Developer, Protected Data SRE

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