Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 min ago
P&
AZ Truck Driver
Parrish & Heimbecker, Limited
Denfield, ON
- Full-time
P&H does not use artificial intelligence or automated decision-making tools to screen, assess, or select applicants. All applications are reviewed by a member of our Talent Acquisition team…
Added 1 min ago
P&
Mill Supervisor
Parrish & Heimbecker, Limited
Hamilton, ON
- Full-time
P&H does not use artificial intelligence or automated decision-making tools to screen, assess, or select applicants. All applications are reviewed by a member of our Talent Acquisition team…
Added 1 min ago
P&
Business Analyst
Parrish & Heimbecker, Limited
Winnipeg, MB
- Full-time
P&H does not use artificial intelligence or automated decision-making tools to screen, assess, or select applicants. All applications are reviewed by a member of our Talent Acquisition team…
Added 1 min ago
P&
Project Manager
Parrish & Heimbecker, Limited
Winnipeg, MB
- Full-time
P&H does not use artificial intelligence or automated decision-making tools to screen, assess, or select applicants. All applications are reviewed by a member of our Talent Acquisition team…
Added 1 min ago
MI
Associate, Genesis, Portfolio Operations
MUFG Investor Services
Halifax, NS
- Full-time
We are committed to using Artificial Intelligence (AI) tools responsibly and being transparent about what we do to build trust and confidence. At MUFG Investor Services, we use AI tools to…
Added 1 min ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
Added 1 min ago
EB
Intern - Strategic Sourcing & Third-Party Management , Winter 2027
EQ Bank
Toronto, ON
- Full-time
…Improvement, Data Analytics, and the practical application of Artificial Intelligence within a regulated financial services…
Added 1 min ago
T
AI Platform - B2B Sales Manager
TP
Toronto, ON
- Full-time
Added 1 min ago
EM
Superintendent Integrated Planning
Evolution Mining
Red Lake, ON
- Full-time
Added 1 min ago
GW
Events Coordinator
Gowling WLG
Toronto, ON
- $55,000 to $68,000 CAD / year
- Full-time
Added 1 min ago
EB
Staff Engineer, Infrastructure Solutions (12 month contract)
EQ Bank
Toronto, ON
- Contract
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…
Added 1 min ago
C
Global Program Lead – Bombardier/Challenger
CAE
Montreal, QC
- Full-time
Added 1 min ago
SL
Conseiller/Conseillère stagiaire, Programme de perfectionnement du conseiller -Perspectives d'avenir/Advisor Trainee- Advisor Development Program -Future Opportunities
Sun Life
Levis, QC · Quebec, QC · Trois-Rivières, QC
- Full-time
We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
Added 1 min ago
SL
Network Operations Analyst
Sun Life
Waterloo, ON · Sun Life Waterloo King
- Full-time
We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
Added 1 min ago
M
Marketing Cloud Specialist
Medcan
Toronto, ON
- $85,122 to $117,042.75 CAD / year
- Full-time
Medcan uses artificial intelligence (AI) tools to support the
Added 1 min ago
Liquor Store Manager
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, AB
We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on…
Added 1 min ago
Adjuster Level 1, Property Claims
Heartland Mutual Insurance
Kitchener, ON
Proficiency in claims management software Artificial Intelligence and Microsoft Office tools.
Added 1 min ago
Unified Customer Experience - Consultant - Senior Full Stack Engineer
Questrade Financial Group
Calgary, AB
Champion the exploration and adoption of AI tools to improve developer productivity and platform features.
Added 1 min ago
775 - ST. CHARLES GARNIER SA/EDP - Assistant Teacher
Family Day Care Services
Richmond Hill, ON
In accordance with Ontario’s hiring transparency requirements, no artificial intelligence (AI) systems are used to screen, assess, or select applicants for this position.
Added 1 min ago
195 - ST. BARNABAS CC/EDP - Assistant Teacher
Family Day Care Services
Toronto, ON
In accordance with Ontario’s hiring transparency requirements, no artificial intelligence (AI) systems are used to screen, assess, or select applicants for this position.
Added 1 min ago
Fire Chief
The Corporation of The City of St. Thomas
St. Thomas, ON
Added 1 min ago
Builder Project Sales Manager - Home Appliance / Single Family
Human Resources
Toronto, ON
Artificial intelligence will be used in sourcing, reviewing and communicating with candidates for this position.
Added 1 min ago
Executive Receptionist
State Window Corporation
Vaughan, ON
Added 1 min ago
Welder/Fabricator
Haakon Industries
Kingston, ON
Haakon utilizes artificial intelligence (AI) tools as part of the initial application screening process. All applications are also reviewed by our Recruitment team to ensure a fair and…
Added 1 min ago
C
Application Development Lead, Vice President
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…

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

Report this job