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Added 13 mins ago
P&
Systems & Logistics Analyst
Parrish & Heimbecker, Limited
Cambridge, ON
- Full-time
Bachelor’s degree in Logistics, Supply Chain Management, Business, or a related field (or equivalent experience).
Added 13 mins ago
M
Marketing Data Analyst
Mindlance
Toronto, ON
- $35 to $40 CAD / hour
- Contract
Analyze marketing and customer campaign data to generate actionable business insights
Added 13 mins ago
S
Senior Account Manager
SoTalent
Toronto, ON
- Full-time
Utilize sales data, market insights, and business analytics to identify growth opportunities and improve account performance.
Added 28 mins ago
HG
Senior Cost Accountant | Comptable principal(e), prix de revient
Hagen Group
Baie-D'Urfé, QC
- Full-time
Advanced Excel skills; Power BI or other business-intelligence tools are an asset.
Added 28 mins ago
S
Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 29 mins ago
Technical Program Manager-II, GO-AI
Amazon
Vancouver, BC
Within Amazon Robotics, the Global Operations – Artificial Intelligence (GO-AI) organization enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions.…
Added 29 mins ago
AG
Senior Analyst, Marketing Science
Adelphi Group
Toronto, ON
- Full-time
…to connect the media we plan and execute with our client’s business outcomes. Establishing that relationship requires data-focused capabilities across 3…
Added 43 mins ago
BG
Dealer Development Sales Coordinator
Brandt Group of Companies
Regina, SK
- Full-time
…between sales and manufacturing while working with the sales analytics team (45% of responsibilities). The second responsibility will be working and special projects for the U.S. Sales…
Added 43 mins ago
Innovation Analyst, Information Technology
Laura Canada
Laval, QC
Support the company’s Business Intelligence (BI) initiatives, assisting different departments in improving the way they make decisions with data.
Added 44 mins ago
S
Senior Account Manager
SoTalent
Richmond Hill, ON
- Full-time
3–5 years of professional experience in sales, customer development, account management, marketing, business analytics, category management, or related commercial functions.
Added 44 mins ago
OS
Project Administrative Assistant
Open Systems Technologies
Mississauga, ON
- Contract
Reporting & Dashboards: Familiarity with business intelligence tools (e.g., Tableau, Power BI) and corporate workforce management systems (e.g., Workday, Fieldglass, ServiceNow, or internal…
Added 44 mins ago
AG
Associate Intern - Health Care (HEOR, Epidemiology & Market Access)
Analysis Group
Toronto, ON
- Internship
We help our clients define markets, demonstrate value, and inform business decisions throughout product lifecycles.
Added 58 mins ago
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Data & AI Transformation Director
PwC
Toronto, ON
- Full-time
…Microsoft-based transformation programs across cloud, data, analytics, and artificial intelligence. This individual will be responsible for owning end-to-end program delivery, managing…
Added 58 mins ago
PV
Pricing Manager
Pet Valu
Markham, ON
- Full-time
Experience with pricing tools, data analytics, and business intelligence software.
Added 58 mins ago
T
Senior Finance Analyst
TD
Toronto, ON
- Full-time
Proficiency and experience with Excel and PowerPoint and financial reporting systems such as Hyperion SmartView, Oracle Business Intelligence (Tableau and Alteryx would be an asset).
Added 58 mins ago
M
Senior Analyst, Private Corporate Credit
Morningstar
Toronto, ON
- Full-time
Bachelor's degree in finance, economics, business, data analytics, or a related field. Progress toward the CFA designation is a plus.
Added 58 mins ago
SL
Senior Consultant, AI Strategy & Program Execution
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Working within a highly collaborative and matrixed environment, the Senior Consultant will coordinate activities across business, technology, architecture, security, governance, and…
Added 58 mins ago
SL
Analyst, Third Party Risk & Performance Management
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
…requirements. The role acts as 1B and partners closely with business stakeholders, to identify, assess, and mitigate third-party…
Added 58 mins ago
D
Gestionnaire, Médias
DAC
Montreal, QC
- Full-time
…expertise des plateformes de médias numériques (Google Ads, Meta Business Manager, DV360 et Campaign Manager 360), des outils d’analytique (Google Analytics) et des plateformes de gestion…
Added 1 hour ago
C
Analyst, Enterprise Data and Records co-op
CIBC
Toronto, ON
- Full-time
…in the design and implementation of capabilities to enable business alignment to principles and policies across the Bank. This includes supporting consistency in data practices across CIBC…
Added 1 hour ago
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Analyst, FIU Regulatory Reporting
CIBC
Toronto, ON
- Full-time
…the data entry/filing process and interacts with various AML business partners to help streamline data entry and to improve overall data quality across the investigative…
Added 1 hour ago
CT
Senior Procurement Analyst
Canadian Tire Corporation
Toronto, ON
- Full-time
…execution of savings opportunities for a targeted portfolio of business…
Added 1 hour ago
M
Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re looking for a Platform Engineer who enjoys solving complex infrastructure challenges, improving developer experiences, and building secure, automated cloud environments. You’ll work…
Added 1 hour ago
M
Strategic Partnership Manager
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
…relationships, optimizing third-party performance, and enabling strong business outcomes through strategic sourcing, contracting, partnership management and governance. You will collaborate…
Added 1 hour ago
L
Senior Product Manager
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
As a Senior Product Manager, you’ll own the vision, strategy, and roadmap for Litera’s Firm Intelligence Platform - the foundational layer that turns the data flowing through a law firm’s…

Amazon

Data Engineer, Amazon Prime

Vancouver, BC, Canada

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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

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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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