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Added 2 months ago
AN
Senior Software Engineer, Linux Kernel
Arista Networks
Vancouver, BC
- Full-time
Develop and maintain EOS Kernel features and tests using C, C++ and Python, review and contribute to functional and design specifications. Build automated tests and test infrastructure to…
Added 2 months ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
Reporting to the Senior Director, AI Engineering & Transformation, you will be the Champion for the cell and its technical and operational lead. Champions own the technical direction,…
Added 2 months ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…the insights product leaders rely on. We are seeking an AI Engineer to build those agents for our Tax, Audit & Accounting product portfolio. You will take pre-trained models, LLM APIs, and…
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
Weʼre looking for a Senior Software Engineer with 5 - 8 years of professional experience to help design, build, and scale the production systems behind askpollyʼs AI-powered insights…
Added 2 months ago
AN
Senior/Lead Software Engineer, Layer1
Arista Networks
Vancouver, BC
- Full-time
As a Layer1 software engineer, you will get to work on software that manages the physical layer, where packets meet the outside world. Stable and reliable physical connectivity is critical…
Added 2 months ago
AN
Expert/Principal Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is looking for world-class Senior/Lead system software engineers to join our Extensible Operating System (EOS) software development team. As a core member of the EOS team,…
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
…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…
Added 2 months ago
Software Engineer II, Platform
Ripple
Toronto, ON
As a SE II Engineer, Platform you will play a critical role helping to advance Ripple's production infrastructure and release pipelines. Infrastructure Engineers at Ripple are a hybrid of…
Added 2 months ago
AN
BIOS Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Develop automated tests using C, C++ and Python to validate your features.
Added 2 months ago
AN
Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is looking for world-class Senior/Lead software engineers to join our Extensible Operating System (EOS) software development team. As a core member of the EOS team, you will…
Added 2 months ago
AN
PCIe Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Develop automated tests using C, C++ and Python to validate your features.
Added 2 months ago
PI
Senior QA Engineer – HIL & Test Automation
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is looking for a Senior QA Engineer with strong hardware-in-the-loop (HIL) and test automation experience to help ensure the reliability and repeatability of our Anvil platform.
Added 2 months ago
TH
Senior, DevOps Engineer - 1 Year Contract
Teladoc Health Canada
Canada
- Contract
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Calgary, AB
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Vancouver, BC
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
B
Senior Security Engineer II
Braze
Toronto, ON
- Full-time
…self-managed data stores such as MongoDB. We're looking for a Senior Cloud Security Engineer II to join our Security Engineering function as a senior individual contributor and technical…
Added 2 months ago
T
Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 2 months ago
A
BACKEND PYTHON DEVELOPER
Apexon
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to design and build highly scalable, secure, and high-performance solutions within our core banking platform. You will work in a cross-functional…
Added 2 months ago
WH
Applied AI Engineer
WELL Health Technologies Corp
Remote, Canada
- Full-time
- Remote
Reporting to the Senior Director, Digital Transformation, the Applied AI Engineer will design, build, deploy, and optimize AI-powered applications and solutions that create measurable…
Added 2 months ago
M
Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, BC
- Full-time
The Fabric Mirroring team is currently seeking a Senior Software Engineer to join their team. This team oversees designing, building, and operating a next generation service that transfers…
Added 2 months ago
S
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people…
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves…
Added 2 months ago
BE
Senior Hydrogeologist/Hydrogeological Engineer - Modeller - All Canadian Locations
BGC Engineering
Vancouver, BC
- Full-time
BGC is seeking a Senior Hydrogeologist/Hydrogeological Engineer with a focus on numerical modelling to join our Groundwater Team. This is a leadership opportunity to support…

B3 Systems

Sr. Data Engineer - AI & Data Science

Toronto, ON, M4T 2T5, Canada

Full-time

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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.

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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

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