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Added 19 hours ago
Development Manager
DSV
Milton, ON
DSV encourages inclusivity and are committed to diversity in the workplace while welcoming applications from all qualified individuals including women, members of visible minorities,…
Added 19 hours ago
MC
Assistant Manager, Wealth Sales Support
Meridian Credit Union
St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
Added 19 hours ago
T
SAP BTP Full-Stack and Integration Developer
Talan
Toronto, ON · Montreal, Québec
- $135,000 to $175,000 CAD / year
- Full-time
…engagement assignment, the SAP BTP Full-Stack and Integration Developer builds the services, applications, and integrations designed for Talan…
Added 19 hours ago
MH
Pharmacy Program Manager
MedMe Health
Remote, Canada
- $90,000 to $115,000 CAD / year
- Full-time
- Remote
Added 19 hours ago
Q
Senior Revenue Enablement Specialist, Digital
Quadient
Markham, ON
- $90,000 to $100,000 CAD / year
- Full-time
Added 19 hours ago
EG
Intermediate Foundations Engineer
Egis Group
Hamilton, ON
- $80,000 to $115,000 CAD / year
- Full-time
We welcome and encourage applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.
Added 19 hours ago
Hardware Systems Technical Lead
Lightmatter
Toronto, ON
Collaborate with system architects and technical leads to define and develop hardware systems for photonic AI infrastructure applications
Added 19 hours ago
Data Engineer, Amazon Prime
Amazon
Vancouver, BC
Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets
Added 19 hours ago
T
SAP BTP Full-Stack and Integration Developer
Talan
Toronto, ON
- $135,000 to $175,000 CAD / year
- Full-time
…engagement assignment, the SAP BTP Full-Stack and Integration Developer builds the services, applications, and integrations designed for Talan…
Added 19 hours ago
TS
Senior Associate Strategist (Healthcare Social Scientist)
Throughline Strategy Inc.
Toronto, ON
- $74,000 CAD / year
- Full-time
Added 19 hours ago
PH
Personal Support Worker (PSW)
ParaMed Home Health Care
ON · Timiskaming, ON
- Full-time
We may use artificial intelligence (AI) tools to support certain stages of the recruitment process, such as reviewing applications, analyzing resumes, or assessing candidate responses.…
Added 19 hours ago
MM
Senior Full Stack Developer – Java/React
Mitchell Martin Inc.
Toronto, ON
- $59 to $64 CAD / hour
- Other
Senior Full Stack Developer - Java/React- Hybrid - Contract - $59.00-$64.00 Per Hr
Added 19 hours ago
PH
Personal Support Worker
ParaMed Home Health Care
Alban, ON
- Full-time
We may use artificial intelligence (AI) tools to support certain stages of the recruitment process, such as reviewing applications, analyzing resumes, or assessing candidate responses.…
Added 19 hours ago
E
Talent Acquisition Intern
Ericsson
Ottawa, ON
- Full-time
Exposure to AI-enabled recruiting tools and emerging AI applications in Talent Acquisition. You’ll learn how these tools can support recruiting work, how to review outputs critically, and…
Added 19 hours ago
PH
Personal Support Worker
ParaMed Home Health Care
Sturgeon Falls, ON
- Full-time
We may use artificial intelligence (AI) tools to support certain stages of the recruitment process, such as reviewing applications, analyzing resumes, or assessing candidate responses.…
Added 19 hours ago
MM
Lead Development Analyst
Mitchell Martin Inc.
Mississauga, ON
- $73 to $78 CAD / hour
- Other
Provide second-level support for applications.
Added 19 hours ago
ON
Motor Coach Operator Trainer
Ontario Northland
North Bay, ON
- Full-time
…and invite all interested individuals to apply and encourage applications from Indigenous peoples, racialized persons, women, persons with disabilities, and persons who identify as…
Added 19 hours ago
TU
RESEARCH FELLOW IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR SCIENTIFIC DISCOVERY
The University of Manchester
Manchester, NS
- Full-time
Contributing to collaborative research projects, publications, conference presentations, and funding applications.
Added 19 hours ago
MM
Java Developer Mid
Mitchell Martin Inc.
Mississauga, ON
- $62 to $67 CAD / hour
- Other
Java Developer Mid - Hybrid - Contract - $62.00-$67.00 Per Hr
Added 19 hours ago
I
DevOps Engineer
INVOKE
Montreal, QC
- Full-time
Our teams work hands-on with clients to automate complex processes across a range of systems, from modern applications to legacy environments. Whether it’s streamlining high-volume…
Added 19 hours ago
EI
Senior Design Manager
EBC Inc.
Mississauga, ON
- Full-time
EBC welcomes applications from First Nations, Inuit, and Métis candidates and is committed to fostering an inclusive, culturally safe workplace.
Added 19 hours ago
MI
Program Manager (Tooling)
Magna International
Brampton, ON
- Full-time
Added 19 hours ago
MI
Apprentice - Tool & Die
Magna International
St. Thomas, ON
- $33.32 to $40.64 CAD / hour
- Full-time
…intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the…
Added 19 hours ago
MI
Apprentice - Electrician
Magna International
St. Thomas, ON
- $33.32 to $40.64 CAD / hour
- Full-time
Added 19 hours ago
Principal Product Manager - Billing & Platform
Constant Contact
ON
Modernize Internal Applications: Own the tools Finance, Support and Operations use to adjust bills, issue refunds and migrate accounts. Bring automation to the work these teams do every day.

Amazon

Data Engineer, Amazon Prime

Vancouver, BC, Canada

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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

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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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