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Added 3 months ago
F
Senior Data Engineer
FacilityOS
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
The Data Engineer reports to the VP of Engineering and owns the data infrastructure that powers FacilityOS's AI agents and broader analytics needs. This role is foundational to the…
Added 1 month ago
JS
Senior Software Engineer, AI-Native Data Warehouse
Juniper Square
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer at Juniper Square, you're a hands-on individual contributor who designs, builds, and operates production systems powering core workflows for institutional…
Added 1 month ago
X
Senior Product Manager - Payments & APIs
Xero
Vancouver, BC
- Full-time
As a Senior Product Manager on Bills, you will own the layer underneath that surface - the API contracts, the data-access model and the permission architecture that decide what a person or…
Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Reporting to the Director, AI & Digital Planning, the Senior AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions…
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
S
Senior Full Stack Engineer
Strada
Toronto, ON
- Full-time
Our AI agents complete that work end to end: handling claims, policy changes, billing, and servicing across insurance systems. Backed by Y Combinator and leading investors, Strada already…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 3 months ago
GC
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
- $90,000 to $130,000 CAD / year
The Forward Deployed Engineer is Greenlight’s most senior technical delivery role. You design, build, and operationalize AI agent workflows and intelligent automation solutions - embedded…
Added 4 months ago
C
Senior AI Engineer - Americas
ChainGPT
Remote, Canada
- Contract
- Remote
This is for someone who can ship at the pace of a small team by directing AI coding agents, while still bringing the judgment, fundamentals, and technical ownership of a senior/staff-level…
Added 4 months ago
CS
Principal AI Security Engineer
Cerebras Systems
Canada
- Full-time
In this role, you will design and build security controls for systems that support training, inference, model serving, customer workloads, internal automation, and AI-assisted development.…
Added 4 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems, and…
Added 4 months ago
EI
Senior Integrations Developer / AI Data Integration Engineer
Engineered Intelligence Inc.
Mississauga, Ontario
- Full-time
We are looking for an experienced and hands-on Senior Integrations Developer / AI Data Integration Engineer to help lead the evolution of our modern data integration platform. This role…
Added 5 months ago
H
AI Engineer - Remote
Huzzle
Remote, Canada
- Full-time
- Remote
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with…
Added 6 months ago
HI
Senior Quality Assurance Engineer
Hatch IT
Newfoundland and Labrador
- Full-time
VIA is looking for a strategic Senior Quality Assurance Engineer to define and own their quality standards. This is not a traditional 'downstream' QA role, you will be responsible for…
Added 2 months ago
Senior Software Engineer
Evismart
Vancouver, BC
The dental industry a $40B global market spanning 28 countries still runs on disconnected systems, manual workflows, and decisions made without data. Most of it has never been touched by…
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the…

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FacilityOS

Senior Data Engineer

Remote, Canada

Remote

$120,000 to $150,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 5+ years of experience in data engineering, including schema design, ETL/ELT pipeline development, and data warehouse/lake architecture
Posting language: English
Posted: Jul 16, 2026

Original job description

About FacilityOS

FacilityOS is a fast-growing company redefining how facilities operate - bringing safety, security, and daily operations into one unified platform used by organizations around the world.

As we continue to scale globally, we’re building a team of driven, curious people who want to make an impact. You’ll be part of a dynamic, collaborative culture where individuals are trusted to take ownership, solve meaningful problems, and grow in their careers. Our team comes together in-office twice a week to connect, collaborate, and build momentum.

If you’re looking to do your best work alongside a great team in a high-growth environment, FacilityOS is the place to build your career.

About the Role

The Data Engineer reports to the VP of Engineering and owns the data infrastructure that powers FacilityOS's AI agents and broader analytics needs. This role is foundational to the company's AI strategy: agents are only as good as the data they can reliably access, and the Data Engineer is responsible for building and maintaining that foundation.

FacilityOS's data foundation exists today but requires expansion to support the next phase of AI-driven growth. The Data Engineer drives that expansion, schema design, pipeline quality, and data governance, working in close partnership with the AI Engineer, who builds the agents that orchestrate against this data.

Key Responsibilities

Data Infrastructure & Architecture

Own the design, build-out, and ongoing maintenance of FacilityOS's data warehouse and data lake
Design and evolve schemas that support both AI agent orchestration and broader business analytics
Build and maintain reliable, well-monitored data pipelines across source systems

Data Governance & Quality

Establish and enforce data governance standards, including data quality checks, lineage tracking, and access controls
Ensure data structures meet the AI-readiness standards required for agent orchestration
Partner with VP Infosec to ensure data handling meets ISO27001 and SOC2 Type 2 compliance requirements
Own the health and cost of the platform as usage grows

Cross-Functional Enablement

Build agents to meet FacilityOS's ISO27001 and SOC2 Type 2 compliance requirements from the ground up
Partner with the AI Engineer to ensure agents have reliable, structured, and current data to work against
Support department managers by making departmental data accessible and AI-ready for their agent initiatives
Act as a technical resource within the AI Tech/Integration SWAT for data-related blockers
Connect agents into the core business systems departments already work in - Microsoft 365, Outlook/email, and Teams, so agents can read, draft, notify, and act within existing workflows rather than requiring new interfaces
Build and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth) for agents acting inside business systems on a user or department's behalf

Program Support

Provide technical input to the AI Program Lead's portfolio planning, flagging data risk and readiness gaps early
Support "AI before headcount" evaluations by assessing whether existing data infrastructure can support proposed automation
Contribute to org-wide data foundation documentation and standards

Qualifications

5+ years of experience in data engineering, including schema design, ETL/ELT pipeline development, and data warehouse/lake architecture
Hands-on experience with Fabric or alternative modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, or equivalent)
Working knowledge of data governance, quality, and security practices in an enterprise environment
Familiarity with the data requirements of AI/RAG systems (structured retrieval, embeddings, vector stores) is a strong asset
Familiarity with compliance frameworks such as SOC2 or ISO27001 is a plus
Experience in a SaaS or enterprise technology environment preferred
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Why work at FacilityOS?

We work hard and play hard and we do both with passion and respect for one another. Our company promotes a fast-paced, fun, friendly, and highly collaborative work environment that provides:

🩺Comprehensive health coverage

🏠A Hybrid work environment

💡Opportunity for advancement and growth

🍕 Catered Events, Snacks, Drinks – You won’t go Hungry!

🥳 Birthday and Life Celebrations

🎉 Two annual parties in a year

FacilityOS Commitment

We believe that a diverse team is the key to innovation and growth. We are an equal opportunity employer that value diversity at our company and encourage all candidates to apply. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

FacilityOS will accommodate individuals with disabilities through each stage of the recruitment and selection process. Please advise us of any needs when your interview is booked, and we will do our best to meet your needs.

Please note that all candidates must be legally eligible to work in the location in which you applied.

Background and Reference Checks

Any offer of employment may be conditional upon full background checks including a criminal record check, a credit check and employment and educational verifications. A reference check will also be conducted.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications. These tools assist the recruitment team but do not replace human judgment. All advancement and hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us or click here.

FacilityOS thanks all candidates for their interest, however only those selected to continue in the process will be contacted.

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More about this job

Responsibilities

The Data Engineer owns the design and maintenance of the data warehouse and lake to power AI agents and business analytics. This includes building reliable data pipelines, enforcing governance standards, and ensuring data readiness for AI orchestration.

Requirements

Requires 5+ years of experience in data engineering with expertise in modern data stack tools and schema design. A bachelor's degree in Computer Science or Engineering is preferred, along with familiarity with AI/RAG systems and compliance frameworks.

Skills

Schema Design
ETL/ELT Pipeline Development
Data Warehouse Architecture
Data Lake Architecture
Data Governance
Data Quality
Microsoft Fabric
Dbt
Airflow
Snowflake
BigQuery
RAG Systems
Vector Stores
Microsoft Graph API
OAuth
SOC2/ISO27001 Compliance

Benefits

Comprehensive health coverage
Hybrid work environment
Opportunity for advancement and growth
Catered events
Snacks
Drinks
Birthday and life celebrations
Two annual parties

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI Agents
RAG
Embeddings
Vector Stores
Fabric
Dbt
Airflow
Snowflake
BigQuery
ISO27001
SOC2 Type 2
Microsoft 365
Outlook
Teams
Microsoft Graph API
OAuth
SaaS
Enterprise Technology
Data Governance
Data Lineage
ETL
ELT
Data Lake
Data Warehouse
Schema Design

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