Jobs in Canada

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Added 2 months ago
H
Full Stack Engineer
Hays
Toronto, ON
- Contract
We are looking for a Full Stack Java Developer to build and enhance modern web applications using Angular on the frontend and Java/Jakarta EE on the backend. The role also requires working…
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
This is a full-stack role with direct product impact. If you enjoy owning problems end-to-end, have a relentless bias toward action, and thrive on shipping real systems at high velocity -…
Added 2 months ago
VH
Software Engineer, Technical Lead
Verily Health
Toronto, ON
- Full-time
5+ years of experience as a full-stack or backend software engineer in an industry setting.
Added 2 months ago
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Full Stack Engineer
Vantage
Remote, Canada
- $115,000 to $145,000 CAD / year
- Full-time
- Remote
Vantage is looking for its next Full Stack Engineer to join our Product Development Team. As a Full Stack Engineer, you’ll work across the stack to build and maintain performant, scalable…
Added 4 months ago
LF
Software Developers (Always Hiring)
Loop Financial
Toronto, ON
- $130,000 to $180,000 CAD / year
Develop secure, scalable systems that power cross-border payments, banking infrastructure, ledgers, and integrations with financial partners
Added 2 months ago
M
Forward Deployed Engineering, US Oncology
McKesson
Mississauga, ON
- Full-time
Strong hands-on full-stack engineering and troubleshooting experience across modern web applications, APIs, data, AI services, identity, security, and cloud infrastructure.
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 2 months ago
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Software Engineer Production Systems - Netflix Animation Studios
Netflix
Vancouver, BC
- Full-time
Do you mostly think in Java but wish you could talk about movies all day? We are looking for adventurous Full Stack Software Engineers who want to use their skills to help our world class…
Added 5 months ago
CM
Senior Systems Engineer
CanCap Management Inc.
Mississauga, ON
- $110,000 to $150,000 CAD / year
- Full-time
CanCap Group delivers fully managed programs for third-party financial institutions. We are hiring a Senior Systems Engineer to design, automate, and operate the core infrastructure our…
Added 2 months ago
FG
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
- Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 2 months ago
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DevOps Engineer
EIZIE
Kitamaat 2, BC
- Full-time
We are seeking a highly skilled and motivated DevOps Engineer to join our dynamic IT team. As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the…
Added 2 months ago
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Software Engineer
Basestation
Remote, Canada
- Full-time
- Remote
We’re looking for a Full Stack Software Engineer to join our team at Basestation. In this role, you will work closely with our Founder, CTO, and engineering team to build the operating…
Added 2 months ago
BP
Full-Stack Engineer
Brightpathdigital Pro
Remote, Canada
- $30,000 to $40,000 CAD / year
- Contract
- Remote
5+ years of professional full-stack or backend-focused software engineering experience.
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
This is a full-time role based in Ottawa, ON, operating on a hybrid schedule (4 days per week in-office)
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
Work with the ML lead and full-stack engineer to expose the layer as clean, reusable services.
Added 2 months ago
Senior Application Engineer, Support
Teifi Digital
Vancouver, BC
3–6 years in backend or full stack development, or a production-facing engineering role
Added 2 months ago
Full-Stack AI Engineer
Appnovation Technologies
Toronto, ON
As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias…
Added 2 months ago
T
Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 2 months ago
RR
Embedded Linux & Video Pipeline Engineer
Remote Robotic
Ottawa, ON · Kanata, ON
- $110,000 to $130,000 CAD / year
- Full-time
Airmetal is looking for an Embedded Linux & Video Pipeline Engineer to own a latency-critical video stack from camera capture through secure wireless transport.
Added 2 months ago
IA
Machine Learning Engineer
Invision AI
Remote, Canada
- Full-time
- Remote
You will work from our downtown Toronto office three days per week
Added 2 months ago
S
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…business impact. This work spans configuration, customization, and full-stack deployment - shipping solutions customers depend…
Added 2 months ago
D
Senior Product Engineer II - Fullstack
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
Set the Standard: Write exemplary full-stack code, establish clear integration boundaries, and make durable architectural decisions that keep systems scalable, maintainable, and easy to…
Added 2 months ago
CO
Staff Android Engineer
Capital One
Toronto, ON
- $173,000 to $197,400 CAD / year
- Full-time
Improve software engineering practices – work within agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies
Added 4 months ago
FD
Senior Software Engineer (Laravel/PHP, Node.js, React)
Frontier Dental CA
Markham, ON
- $90,000 to $110,000 CAD / year
- Full-time
Own the technical architecture and make key technology decisions across the full stack
Added 2 months ago
CO
Staff Software Engineer - iOS
Capital One
Toronto, ON
- $172,960 to $197,400 CAD / year
- Full-time
Improve software engineering practices – work within agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies

B3 Systems

Sr. Data Engineer - AI & Data Science

Toronto, ON, M4T 2T5, Canada

Full-time

Apply on b3systems.bamboohr.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 28, 2026

Original job description

Senior Data Engineer - AI & Data Science

About the Role

B3 enables enterprise manufacturers to digitize their operations and leverage AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines that sit on top of our ingested client data and serve every analytics surface, monitor, and AI feature we build. Client data arrives through our existing ingestion and platform teams - your layer shapes it for analysis, APIs, and AI: designed once to serve many consumers, and kept correct and current.

This is a high-autonomy role on a small, senior team. You'll be the AI/DS team's authority on data architecture, the person we go to with the standing to set the standard for how this layer is designed and run. We're looking for cemented, production-proven skills: schemas you designed years ago that still hold, pipelines you owned through their failures, and storage decisions that held without needing review. You'll own a defined, growing data layer with priorities set by one team's roadmap, an architecture-and-ownership role, not a shared ticket queue.

About the Work

Design and standardize the DS data layer, tables, views, aggregates, and relations built over ingested client data structured so multiple consumers (analytics pages, APIs, LLM-driven features) share the same source of truth without re-cutting the schema for each new one.

Build and own the pipelines that keep this layer current: transformations, derived-table refresh scheduling, and the monitoring that proves update stability.

Own the quality bar for derived data: every table in this layer is validated for correctness and update stability before anything is built on it, complementing, not duplicating, the upstream ingestion checks owned by our data and QA teams.

Bring in external, non-client data sources end-to-end. Think whether, regional, or market signals, sourced, ingested, and structured so we can build correlations that reach beyond client data.

Drive communication and alignment across the company's data layers - working collaboratively with our ingestion and platform teams so the stack stays coherent end to end as our services add analytical queries, API serving, and AI-driven reads.

Work with the ML lead and full-stack engineer to expose the layer as clean, reusable services.

Evolve the layer as the platform grows, multi-level site structures, corporate-level aggregation, without breaking what's live.

No industrial background required. Our domain has its share of complex workflows and terminology, and genuine curiosity is what carries people through it. We'll help with the rest.

About You

5+ years of data engineering with production ownership, you will be the the accountable owner of schemas and pipelines a business ran on, not a contributor under someone else's architecture.

Expert SQL and data modeling: normalization judgment, indexing and performance, view and aggregate design built for multiple consumers.

Strong pipeline engineering: scheduling, idempotency, failure handling, monitoring and alerting. You know how updates break and design so they don't.

Solid Python for data work.

Self-sufficient by track record: you can point to architecture calls you made alone that held up.

Works cleanly across team boundaries: you build on upstream data owned by other teams, define clear contracts with them, and keep interfaces documented.

Clear communicator with non-specialists: your schemas and decisions are documented well enough for a small team to trust without re-deriving them.

Bonus Points

Azure stack: Azure SQL, Cosmos DB, App Services, Azure ML.

Industrial or manufacturing data: historians, sensors, downtime/event data, shift-based operations.

Experience shaping data for AI/LLM consumers - views and services a model can call safely.

Experience integrating external/public data sources (weather, market, geographic) into analytical products.

Near-real-time refresh or CDC/streaming patterns.

Small-team experience where you owned an entire data layer.

About the Office

All In, In Office – Centrally located at the corner of Yonge & St. Clair, we show up together, every weekday. Face-to-face time fuels our culture, speed, and creativity.
Built for Growth – We’re moving fast, keeping structure light, and rewarding people who take ownership and drive momentum.

If you’re driven by applied AI, enjoy working in the future, and want to build data science solutions that make a real impact, we’d love to meet you.

Note: This position reflects an existing vacancy. B3 Systems is proud to be an Equal Employment Opportunity employer. We truly appreciate your interest in joining our team. While we may not be able to connect with every applicant, we will reach out directly to those selected for next steps. No “artificial intelligence” tool will be used to screening, assessment or selection of applicants for this opportunity.

We celebrate diversity and are committed to creating an inclusive, supportive workplace where everyone can thrive. If you require any accommodations or support at any stage of the selection process, please let us know - we’re happy to help.

Apply on b3systems.bamboohr.com About employer

More about this job

Responsibilities

You will own the analytical data layer, designing schemas and pipelines that support analytics, APIs, and AI features. You will also drive communication across data teams to ensure a coherent, stable, and high-quality data architecture.

Requirements

The role requires 5+ years of production-proven data engineering experience with expert-level SQL and data modeling skills. Candidates must demonstrate self-sufficiency in architecture and the ability to build robust, scalable data pipelines.

Skills

Data Engineering
SQL
Data Modeling
Python
Azure
Data Architecture
Pipeline Engineering
API Design
Data Transformation
Database Schema Design
Performance Tuning
Monitoring
Alerting
Data Quality
Cloud Computing

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Data Science
SQL
Python
Azure SQL
Cosmos DB
Azure ML
Data Modeling
ETL
Data Pipelines
API
LLM
Data Architecture
Cloud Services
Manufacturing
Data Quality
Normalization
Indexing
CDC
Streaming
Analytics
Schema Design
Monitoring
Idempotency

Seniority

Senior

Tools

Azure SQL
Cosmos DB
Azure App Services
Azure ML

Languages

English

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Work requirements

Jobs in Canada