Data engineer jobs in Canada (801 jobs)

Find data engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 801
Employers: 392

Advertised starting pay

Average starting payCAD / year: $103,171Across 89 listings
Average starting payCAD / hour: $63.78Across 36 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%33 listings
Hybrid: 40%317 listings
On-site: 56%447 listings

Not specified: <1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (27), J&M Group (15).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Canada

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Added 2 months ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 2 months ago
B
Data Engineer - Sports & Prediction Markets
Betstamp
Toronto, ON
- Full-time
Added 2 months ago
B
Market Data Engineer - Prediction Markets & Odds Infrastructure
Betstamp
Toronto, ON
- Full-time
Added 2 months ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 2 months ago
S
Senior Data Engineer
Super.com
Remote, Canada
- Full-time
- Remote
Added 2 months ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
We are seeking a highly experienced Senior Data Engineering Lead w
Added 2 months ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform
Added 2 months ago
BA
Data Engineer - Big Data & BI
BYD Australia & New Zealand
Mulgrave, NS
- Contract
Added 2 months ago
A
Agentic AI / Data Engineer - DC GPU
AMD
Oro-Medonte, ON
- $156,000 to $234,000 CAD / year
- Full-time
Added 2 months ago
FE
Data Engineer
Future Electronics
Kirkland, QC
- Full-time
This role is responsible for designing, building, and optimizing enterprise data pipelines that collect, transform, store, and prepare data for reporting, analytics, machine learning, and…
Added 3 months ago
T(
Staff Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $210,000 to $270,000 CAD / year
- Full-time
- Remote
Added 2 months ago
ME
Data Engineer
MACLEAN ENGINEERING & MARKETING CO. LIMITED
Barrie, ON · Collingwood, ON · North Bay, ON · Sudbury, ON
- $70,000 to $120,000 CAD / year
- Full-time
Added 2 months ago
JG
DataOps/Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Experience with Cloud data engineer must be familiar and experienced with different programming languages (Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS. Microsoft Fabric) and be able…
Added 5 months ago
PS
Senior Data Engineer
Pacific Smoke International Inc
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
…who build, design, and support it. We’re looking for a Senior Data Engineer to join our scaling…
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
…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…
Added 2 months ago
AM
Agentic AI / Data Engineer - DC GPU
Advanced Micro Devices, Inc
ON · ONTARIO-HOME OFFICE, Ontario
- Full-time
Added 2 months ago
PH
Sr. Data Engineer
Propel Holdings
Toronto, ON
- Full-time
Added 2 months ago
ZI
Senior Data Engineer
ZenaTech Inc.
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Added 4 months ago
K
Senior Consultant, Azure Data Engineer
KPMG
ON · Toronto, Ontario
- Full-time
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…
Added 2 months ago
JG
Data Engineer
J&M Group
Toronto, ON
- Contract
6 8+ years in production data pipeline L1/L2 support.
Added 2 months ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
Added 2 months ago
SH
Data Engineer
Spectrum Health Care
Toronto, ON
- Full-time
Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a…
Added 2 months ago
A
Ingénieur de données Databricks / Data Engineer Databricks
Avanquest
Montreal, QC
- Full-time
Added 2 months ago
FL
Data Engineer (Databricks)
Fluent, LLC
Remote, Canada
- Full-time
- Remote
As a Data Engineer on Fluent's Data Engineering team, you will bring your Databricks development expertise to build the data products that power Fluent's Audience Solutions business: the…

AMD

Agentic AI / Data Engineer - DC GPU

Oro-Medonte, ON, Canada

$156,000 to $234,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $156,000 to $234,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Aug 27, 2026

Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

The Team

AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people.

The Role

AMD's Applied AI team works with the world's most demanding AI operators - frontier labs, NeoCloud providers, and AI-native companies - to make AMD Instinct GPU infrastructure the easiest place to build and run AI. As an Agentic Data Engineer, you will build the data and agent systems that sit at the heart of this mission: production agentic AI applications running on AMD clusters, the data pipelines and memory/context databases that give those agents durable knowledge, and the skills frameworks and evaluation infrastructure that make agent behavior reliable, measurable, and safe.

Your work spans two surfaces. Externally, you build agentic systems and their data foundations on customer AMD deployments - the reference implementations customers adopt when they move from inference to agents. Internally, you build the Applied AI team's own intelligence layer: engagement memory databases, fleet and telemetry data pipelines, and agent-executable skills libraries that encode deployment knowledge so every customer engagement makes the next one faster.

This is a production engineering role. The systems you build run live, get depended on, and are held to production standards for quality, provenance, and security.

The Person

You are equal parts data engineer and applied AI engineer. You think about agents as data systems: what context they retrieve, what memory they accumulate, what tools they invoke, and how you would prove they behave correctly. You have shipped pipelines that other teams depend on and LLM applications that real users hit, and you know the difference between a demo agent and one that survives production. You hold strong opinions about context engineering, memory store design, and evaluation - and you can defend them with data.

Key Responsibilities

Build production agentic AI systems on AMD Instinct GPU infrastructure: agent orchestration, tool/function calling (including MCP-based integrations), skills frameworks, and streaming inference integration against ROCm-based serving stacks (vLLM, SGLang)
Design and operate the memory and context data layer for agentic applications: vector, graph, and relational stores, embedding pipelines, retrieval and context-engineering strategies, and the freshness, provenance, and access-control policies that govern them
Build the Applied AI team's engagement memory and fleet data infrastructure: pipelines that ingest deployment telemetry, incident histories, and field knowledge into structured, queryable, agent-consumable form
Develop and maintain the skills library: reusable, versioned, agent-executable encodings of deployment and operational expertise, with the testing and review gates required before agents or engineers rely on them
Build evaluation infrastructure for agentic systems: regression suites, LLM-as-judge pipelines, behavioral test harnesses, and production quality monitoring
Harden agentic systems against real-world failure modes, including prompt injection through retrieved context and memory stores, data poisoning, and tool-misuse paths
Create the reference architectures and open artifacts that make AMD the credible platform for agentic workloads, contributing upstream to the open-source agent, serving, and data ecosystem
Partner with customer-facing engineers on live engagements: your systems deploy into customer environments, and you support their production behavior

Preferred Experience

5+ years of software engineering with significant production data engineering: pipelines, storage systems, and data quality at scale (level flexible for exceptional candidates)
Hands-on experience building LLM-powered and agentic applications in production: agent frameworks and orchestration, RAG and context engineering, tool calling, and multi-step workflows
Depth in at least one memory/context storage paradigm - vector databases, graph databases, or hybrid retrieval architectures - and informed opinions about when each is wrong
Experience designing evaluation frameworks for non-deterministic systems
Strong Python; working fluency with modern data stack tooling (orchestration, streaming, warehouse/lakehouse) and containerized deployment on Kubernetes
Familiarity with GPU inference serving (vLLM, SGLang, or comparable) and the performance characteristics of LLM workloads; ROCm/AMD Instinct experience a strong plus
Security-conscious engineering instincts, particularly around untrusted content flowing into model context
Open-source contribution history in the AI/ML or data infrastructure ecosystem is a plus

Preferred Academic Credentials

Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Engineering, or equivalent practical experience

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Apply About employer

More about this job

Responsibilities

Build and operate production agentic AI systems and data foundations on AMD Instinct GPU infrastructure. Develop memory layers, telemetry pipelines, and evaluation frameworks to ensure reliable and safe agent behavior.

Requirements

Requires 5+ years of software engineering experience with a focus on production data pipelines and LLM-powered applications. Proficiency in Python, modern data stack tooling, and experience with GPU inference serving is expected.

Skills

Agentic AI
Data Engineering
Python
LLM Orchestration
RAG
Vector Databases
Graph Databases
Kubernetes
vLLM
SGLang
ROCm
Context Engineering
Evaluation Frameworks
Streaming Pipelines
GPU Inference Serving
Prompt Injection Mitigation

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Data Engineering
AMD Instinct GPU
ROCm
vLLM
SGLang
LLM
RAG
Vector Database
Graph Database
Python
Kubernetes
MCP
Context Engineering
Telemetry
Inference Serving
Prompt Injection
Data Poisoning
Open Source
Semiconductor
HPC
Data Center
AI Infrastructure
Evaluation Pipelines
Streaming Data
Lakehouse
Warehouse
Orchestration
Function Calling
Memory Store

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