IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 30, 2026

Hiring at a glance

View jobs

Open jobs: 4,347
Employers: 1,953

Advertised starting pay

Average starting payCAD / year: $96,158Across 389 listings
Average starting payCAD / hour: $49.74Across 287 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $46.76Across 17 listings

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

Where work happens

Remote: 4%185 listings
Hybrid: 38%1,654 listings
On-site: 57%2,494 listings

Not specified: <1% (14 listings)

Employers hiring include TD (77), S M Software Solutions Inc (64), J&M Group (47).

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

IT & data jobs in Canada

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Added 1 day ago
T
Data Engineer
TimePlay
Toronto, ON
- Full-time
As a Software Engineer working on our data platform, you’ll design, build and operate the data systems that support our products, analytics, and internal teams.
Added 1 day ago
A
Network Administrator: Calgary, AB (Onsite) : FTE
AceStack
Calgary, AB
- Full-time
Added 1 day ago
BM
Network Administrator
BULLIT MANAGEMENT SERVICES LIMITED
Calgary, AB
- Full-time
Added 1 day ago
W
Senior Analyst, Walmart Services - WMC Systems Administrator
Walmart
Mississauga, ON
- Full-time
…Administrator will manage day-to-day system configuration, user access, data quality, reporting, issue…
Added 1 day ago
GI
Technical Support Analyst
Green Infrastructure Partners
Markham, ON · Headquarters, Markham, ON
- Full-time
Added 1 day ago
Systems Administrator
Exchange Technology Services Inc.
Winnipeg, MB
Added 1 day ago
AL
Technical Support Analyst
Acturis Limited
Victoria, BC
- Full-time
Added 1 day ago
AL
Technical Business Analyst Co-op at Acturis Canada - Winter 2027
Acturis Limited
Victoria, BC
- Internship
Added 1 day ago
Q
Specialist II, IT Support
QXO
Montreal, QC
- Full-time
Added 1 day ago
EC
QA Tester | Multiplayer FPS
E+E Consulting
Montreal, QC
- Full-time
Added 1 day ago
H
MSSQL Database Administrator
HRConnects
Montreal, QC
- Full-time
Added 1 day ago
SI
Data Scientist
Spait Infotech
Canada
- Full-time
Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and relationships.
Added 1 day ago
RM
Systems Analyst
Remai Modern
Saskatoon, SK
- Full-time
Added 1 day ago
AL
Experienced Technical Business Analyst - Data Support
Acturis Limited
Victoria, BC
- Full-time
Added 1 day ago
ZS
Principal Databricks Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Principal Databricks Data Engineer
Added 1 day ago
VS
Senior Data Architect/Modeller
vTech Solution Canada
Toronto, ON
- Contract
Looking for someone who has hands-on data modeling experience - conceptual, semantic, logical and physical.
Added 1 day ago
LT
Databricks Business Systems Analyst (financial services)
Lorven Technologies Inc.
Toronto, ON
- Contract
We are seeking an experienced Data Designer / Business Systems Analyst (BSA) with 7+ years of relevant experience, hands-on exposure to Databricks, and a strong background in the financial…
Added 1 day ago
IS
QA Tester | Multiplayer FPS
Ironbelly Studios
Calgary, AB · Montreal, QC · Quebec, QC
- Full-time
Added 1 day ago
K
Senior SharePoint Systems Analyst
Keyera
Calgary, AB
- Full-time
Added 1 day ago
BP
HR & Pay Systems Analyst
Bruce Power
Bruce Power
- Full-time
Added 1 day ago
MI
Data Architect/Modeller - Senior
Maarut Inc
Toronto, ON
- Contract
Demonstrated experience reviewing and analyzing business needs and requirements for existing IT applications and related data and designing target data models .
Added 1 day ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Next Pathway is seeking an experienced Snowflake Data Engineer with experience leading a team, to support a major enterprise client that is building a new cloud data platform on Snowflake.
Added 1 day ago
HT
Business Systems Analyst/ Databricks
High Tech Genesis
Toronto, ON
- Contract
The successful candidate will work closely with business stakeholders, data teams, and technology teams to understand business requirements and translate them into clear data and functional…
Added 2 days ago
CH
Business Systems Analyst
Charton Hobbs Group
Montreal, QC
- Full-time
Added 2 days ago
O
Level 3 Cybersecurity Analyst (SOC)
Onepoint
Montreal, QC
- Full-time

Amazon

Data Engineer, Amazon Prime

Vancouver, BC, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 3+ years of data engineering experience
Posting language: English
Posted: Oct 21, 2026

Original job description

Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime. The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement. We build algorithms and systems for automated marketing, personalization, targeting, and decisioning using Artificial Intelligence and Economics. Within the engineering group, we develop world-class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world-class scientists to build a suite of fully automated, scalable, and robust products driven by the data systems you develop.

As Prime expands its science-driven capabilities globally, we are growing the engineering team to meet increasing demand for reliable, high-throughput data infrastructure. Do you want to work with Amazon's best engineers on hard problems at massive scale? Do you want to impact over 300 million Prime members worldwide? Are you someone who likes using big data to drive high-impact business decisions? If so, come join our team!

Key job responsibilities
Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets
Advance data engineering infrastructure using tools such as AWS Glue, Spark, Amazon EMR, and EMR Serverless to support science and analytics workloads
Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models
Collaborate with scientists and analysts to create coherent data models and analysis-ready datasets that improve the customer experience for over 300 million members worldwide
Evaluate and integrate generative AI tools where appropriate to automate data workflows and improve team productivity

A day in the life
You will collaborate closely with Prime business leaders, scientists (economists, research scientists, applied scientists), and engineering leaders to build data solutions. You will work with AWS technologies such as Amazon EMR, Amazon S3, AWS Glue, AWS Lambda, and Amazon DynamoDB to process terabyte-scale data and support real-time access and orchestration across multiple systems. Your work will directly enhance scientific models and data applications that shape the Prime member experience globally. You will also participate in code reviews, design discussions, and team planning alongside both technical and business stakeholders.

About the team
The Prime Member Experience engineering team sits at the intersection of large-scale engineering systems and applied science ,econometrics, machine learning, and AI delivering applications that reach over 300 million customers. Our team includes data engineers, software engineers, and scientists who partner closely to build and operate real-time science products. We are focused on enabling Prime Science adoption worldwide across Amazon, and the growing complexity of our real-time data products creates data engineering challenges that give you hands-on experience with problems the broader industry will face in the years ahead. Basic Qualifications: - 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually

Apply About employer

More about this job

Responsibilities

Build and maintain scalable big data pipelines for machine learning applications while ensuring performance across terabyte-sized datasets. Collaborate with scientists and analysts to design data models and integrate generative AI tools to automate workflows.

Requirements

Requires at least 3 years of data engineering experience with a strong track record in data modeling, warehousing, and ETL pipeline development. Proficiency with AWS technologies and experience processing large-scale datasets are essential for this role.

Skills

Data engineering
Data modeling
ETL pipelines
AWS Glue
Spark
Amazon EMR
Data warehousing
Machine learning
Big data
Anomaly detection
Data quality monitoring
Generative AI
Amazon S3
Amazon DynamoDB
AWS Lambda
Python

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life & AD&D insurance
Deferred profit sharing plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AWS
Amazon Prime
Machine Learning
ETL
Big Data
Data Modeling
Data Warehousing
Spark
Amazon EMR
AWS Glue
Amazon S3
Amazon DynamoDB
AWS Lambda
Generative AI
Anomaly Detection
Econometrics
Artificial Intelligence
Data Pipelines
Cloud Computing
Scalability
Real-time Data
Data Infrastructure
Analytics
Automation

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