Data engineer jobs in Canada (821 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 821
Employers: 399

Advertised starting pay

Average starting payCAD / year: $104,807Across 92 listings
Average starting payCAD / hour: $63.81Across 37 listings

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

Where work happens

Remote: 4%34 listings
Hybrid: 40%331 listings
On-site: 55%452 listings

Not specified: <1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (28), 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 3 months ago
O
Senior Data Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 4 months ago
T
Senior Data Engineer
Techedin
Toronto, Ontario
- Full-time
We are hiring for the Senior Data Engineer role, where the selected candidate will work on scalable data pipelines and analytics solutions. This position focuses on large-scale data…
Added 4 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create…
Added 4 months ago
KS
Data Engineer
KPI Sight
Toronto, Ontario
- $120,000 CAD / year
- Full-time
This is a full time, hybrid Data Engineer role based in Toronto with flexibility to work from home part time.
Added 1 month ago
PC
Sr. Data Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing…
Added 4 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Added 4 months ago
R
Data Engineer
RAVL
Toronto, Ontario
- Full-time
As a Data Engineer at RAVL, you’ll design, build, and operate t
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Added 3 months ago
R
Senior Data Engineer
Relay
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Data Engineer to help us scale our
Added 1 month ago
D
Data Engineer
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Power BI Developer / Data engineer – Capital & Risk Reporting
Added 5 months ago
B
AI and Data Engineer
Blend
Edmonton, Alberta
- Full-time
…co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by…
Added 3 months ago
T
Senior Data Engineer
Trackforce
Montreal, QC
- Full-time
Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Added 2 months ago
N
Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the…
Added 2 months ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.
Added 5 months ago
KS
Data Engineer
Kumaran Systems
Toronto, Ontario
- Full-time
Added 5 months ago
T
Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON
Techedin
Toronto, Ontario
- $65 to $72 CAD / hour
- Contract
Job Title: Senior Data Engineer (Python, Spark, Snowflake)
Added 5 months ago
L
Senior Data Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 CAD / year
- Full-time
Seeking a Specialist with 3 to 5 years of experience in Scala to design and develop scalable big data solutions within the Hadoop and Spark ecosystem
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
Added 2 months ago
Associate, Data Engineer
BMO
Toronto, ON · FCP
Added 2 months ago
KA
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
- $73,000 to $114,000 CAD / year
- Full-time
Added 1 month ago
XG
Senior Data Engineer
Xforia Global Talent & Technology Solutions
Toronto, ON
- Contract
Data Architecture: Hands-on experience with payments data, including metadat
Added 2 months ago
R
Senior Data Engineer
RBC
Toronto, ON
- Full-time
We are seeking a Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics and reporting. The role will focus on developing ETL/ELT pipelines using…

Blend

AI and Data Engineer

Edmonton, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
Posting language: English
Posted: Jun 9, 2026

Original job description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We are building a team of engineers in Edmonton, AB, Canada to develop a first-of-its-kind synthetic persona platform - an AI system that models human behavior, preferences, and decision-making at scale. This role sits at the intersection of software engineering, data engineering and applied AI: you will design the pipelines that power the personas and , the models and the platform deployments that bring them to life.

This is not a maintenance role. The platform is being built from the ground up, and every technical decision you make will shape what it becomes. You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm.

What You Will Do

Design and build a scalable platform and the data pipelines that ingest, transform, and serve structured and unstructured data to AI models
Develop and iterate on AI/ML components - including LLM-based agents, embedding models, and behavioral simulation layers - that power synthetic persona generation
Architect and maintain the data infrastructure underpinning persona modeling: feature stores, vector databases, data lakes, and real-time serving layers
Collaborate with researchers to translate persona logic and behavioral frameworks into working system components
Write production-quality code, participate in code reviews, and contribute to engineering standards for the team
Monitor model and pipeline performance in production; identify and resolve issues proactively
Contribute to system design discussions and help shape the technical roadmap

Qualifications

Must be able to commute to our Edmonton, AB, Canada office

Core Technical Skills

3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
Proficiency in Python and at least one data processing framework (Spark, dbt, Airflow, Prefect, or similar)
Experience building and deploying ML models or AI components in a production environment
Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent)
Solid understanding of data modeling, schema design, and the tradeoffs between different storage paradigms (relational, document, vector, columnar)
Experience with cloud data infrastructure - AWS, GCP, or Azure - and comfort operating in a cloud-native environment

Systems & Engineering Mindset

Ability to reason about system architecture: latency, throughput, scalability, and data consistency tradeoffs
Experience with APIs, microservices, or event-driven architectures (Kafka, Pub/Sub, or similar)
Comfort working across the stack - from raw data ingestion through to model serving and API exposure
Strong debugging instincts and a habit of writing observable, testable code

How You Work

Intrinsically motivated - you pursue hard problems because they interest you, not because someone handed you a ticket
Comfortable with ambiguity; you can move forward when the requirements are still forming
Collaborative by default - you ask questions, share context early, and bring others along
You read papers, experiment on weekends, and have opinions about how AI systems should be built

Nice to Have

Experience with Snowflake
Experience with behavioral modeling, simulation, or agent-based systems
Background in NLP, computational social science, or user modeling
Contributions to open-source AI or data tooling
Familiarity with synthetic data generation techniques or privacy-preserving ML
Experience working in a startup or early-stage product environment

Additional Information

Synthetic personas are one of the most technically interesting and practically consequential challenges in applied AI right now. The platform you help build will be used to simulate human decision-making in ways that have real product and business impact. You will have direct influence over architectural decisions, meaningful ownership of your components, and a front-row seat to a research area that is evolving fast.

*Must be able to work on-site at our Edmonton, AB, Canada location

Apply About employer

More about this job

Responsibilities

Design and build a scalable platform and data pipelines for AI models. Collaborate with researchers to translate persona logic into working system components.

Requirements

Candidates must have 3-5 years of experience in software engineering, data engineering, or ML engineering. Proficiency in Python and familiarity with modern AI tooling and cloud data infrastructure is required.

Skills

Python
Data Processing
ML Models
AI Components
LLMs
Data Modeling
Schema Design
Cloud Infrastructure
APIs
Microservices
Debugging
Observable Code
Testable Code
Behavioral Modeling
NLP
Synthetic Data Generation

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Science
Synthetic Persona
Software Engineering
Data Engineering
Machine Learning
Data Pipelines
Feature Stores
Vector Databases
Data Lakes
Real-Time Serving
Behavioral Simulation
Cloud Infrastructure
Event-Driven Architecture
APIs
Microservices
LLM-Based Agents
Prompt Engineering
Fine-Tuning
RAG Pipelines
LangChain
LangGraph
LlamaIndex
CrewAI
Debugging
Observable Code
Testable Code
Synthetic Data Generation
Privacy-Preserving ML
Startup Environment

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