Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

354,843 listings · 46,349 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,271 listings), Health Match BC (3,274 listings), Walmart (2,717 listings).

Common roles: Cook, Project manager, Sales representative.

64,027 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	38,050
CAD / year	80,000.00	23,723
CAD / month	5,027.00	649
USD / year	126,000.00	216
CAD / week	1,508.50	74
CAD / day	360.00	44
USD / hour	20.00	21
GBP / year	40,000.00	14
EUR / year	80,000.00	11

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.

Workplace classifications: 2% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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HD Mechanic
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- Full-time
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Network Designer
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University of Ottawa
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BC · Kitimat-Stikine A, BC
- Full-time
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Brampton, ON
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Senior Information Management Analyst
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Toronto, ON · CA ON Toronto
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Montreal, QC
- Full-time
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Commis d’entrepôt (quart de nuit)
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Montreal, QC
- Full-time
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Program Coordinator
Coast Mental Health
North Vancouver, BC
- Full-time
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Temporary Program Administrative Clerk (12 months)
Karis Disability Services
Sudbury, ON · Greater Sudbury, ON
- Full-time
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Direct Support Professional
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Ottawa, ON
- Full-time
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Maintenance Manager
Atira Women's Resource Society
Vancouver, BC
- Full-time
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Cordonnateur.trice aux Approvisionnements - Procurement Coordinator
Sid Lee
Montreal, QC
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Events Specialist
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Vancouver, BC
- Full-time
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Channel Partnerships Manager, Investor Ecosystems (VC & PE)
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Toronto, ON
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Indigenous Student Development Coordinator
University of British Columbia
Vancouver, BC · UBCV | MacIsaac Health Building (GWHB)
- $7,158.42 to $10,292.25 CAD / month
- Full-time
Added 6 hours ago
N
Retail Supervisor-Nike Niagara on the Lake Store
Nike
Niagara-on-the-Lake, ON · NFS CA NIAGARA ON THE LAKE
- $21 CAD / hour
- Full-time
Added 6 hours ago
Financial Service Representative
Money Mart
Brampton, ON
Added 6 hours ago
A
Principal Product Manager
Absorb
Remote, Canada
- Full-time
- Remote
Added 6 hours ago
NB
Retail Team Lead, FT
New Balance
London, ON
- Full-time

Amazon

Sr. Data Engineer, WW Pricing Data and Insights

Vancouver, BC, Canada

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Applications open in a new tab.

Job details

Experience: 5+ years of data engineering experience
Posting language: English
Posted: Nov 4, 2026

Original job description

WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.

You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.

As a Senior Data Engineer, you will be a technical lead on the team, leading designs and mentoring engineerings on the team. you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll leverage GenAI to build next generation solutions for data and analytics as well as operations.

This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.

Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions
- Build next generation data and analytics solutions using GenAI
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Basic Qualifications: - 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

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 - 135,700.00 - 226,500.00 CAD annually

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More about this job

Responsibilities

Lead the design and implementation of data pipelines, data models, and business intelligence solutions that support pricing algorithms, analytics, and customer and seller reporting. Manage AWS resources, build GenAI-enabled data solutions, collaborate with technology teams on data integration, and mentor engineers while improving reporting and self-service processes.

Requirements

Requires at least five years of data engineering experience, including data modeling, warehousing, ETL pipeline development, SQL, and proficiency in a modern programming or scripting language. Candidates must have experience mentoring team members; experience with Hadoop, Hive, Spark, EMR, or large data warehouses is preferred.

Skills

Data Engineering
Data Modeling
Data Warehousing
ETL Pipelines
SQL
Python
Java
Scala
Node.js
Data Architecture
Business Intelligence
AWS
GenAI
Big Data Technologies
Mentoring
Data Pipeline Design

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan (DPSP)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Amazon Retail
Third-Party Pricing
Pricing Algorithms
Data Engineering
Data Modeling
Data Warehousing
ETL
SQL
Python
Java
Scala
Node.js
AWS
EC2
RDS
Redshift
Kinesis
EMR
Lambda
GenAI
Business Intelligence
Data Pipelines
Data Architecture
Hadoop
Hive
Spark
Big Data
Data Analytics
Customer Reporting
Self-Service Analytics

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