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Added 2 mins ago
R
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
- Full-time
Develop software for quantitative and portfolio management using Python
Added 2 mins ago
T
Data Scientist II
TD
Toronto, ON · Montreal, QC
- Full-time
Build reproducible and well-documented analytical workflows using Python, SQL, and enterprise data platforms, and support implementation and productionization with Engineering, FICO, MLOps,…
Added 17 mins ago
AI
GCP Backend Full stack Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Backend Fullstack Engineer with strong expertise in Python, FastAPI, and Google Cloud Platform (GCP) to develop, deploy, and maintain scalable…
Added 17 mins ago
NB
Senior Director AI and Operations Engineering
National Bank of Canada
Montreal, QC
- Full-time
Strong knowledge of software development, Python, APIs, integration, and cloud architecture, as well as modern software engineering practices such as Git, CI/CD, testing, and monitoring.
Added 17 mins ago
CB
CloudOps Administrator (Canada) - N.A. Service Delivery Group
Canadian Bank Note Company, Limited
Ottawa, ON
- $75,000 to $93,000 CAD / year
- Full-time
Added 17 mins ago
SL
Student, Quality Engineering Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Foundational programming or scripting skills in Python, Java, JavaScript, or a similar language.
Added 17 mins ago
C
Senior AI Scientist
CIBC
Toronto, ON
- Full-time
…regulated environments. You also bring hands-on experience with Python, SQL, Spark, APIs, automated testing, Git-based workflows, Azure, Databricks, Azure DevOps, and GitHub Actions in…
Added 17 mins ago
GIS Analyst
Urban Systems
Kamloops, BC
You are familiar with database management and have basic programming (Python) or scripting skills.
Added 32 mins ago
O
Customer Experience Test Automation Intern
OpusClip
Burnaby, BC
- $25 to $28 CAD / hour
- Full-time
OpusClip is hiring a CX Test Automation Intern: a software-developer-in-test who sits inside the Customer Experience team and turns real customer tickets into automated UI end-to-end tests.…
Added 32 mins ago
M
Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 32 mins ago
KB
Maintenance Data Anaylst
Kenn Borek Air
Calgary, AB
- Full-time
Knowledge of Python for data analysis, including; Pandas, data visualization libraries (e.g. Matplotlib, Plotly), and general scripting.
Added 47 mins ago
AI
Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
Role: Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Added 47 mins ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
Python and/or R for analytics and automation, plus source control and DevOps practices.
Added 47 mins ago
D
Service Reliability Engineer
Deliverect
Toronto, ON
- Full-time
Implement bug fixes, resilience patches, and feature enhancements directly in our core codebase (primarily Python/Flask/Eve) while participating in architecture and code reviews
Added 47 mins ago
D
Lead, Forward Deployed Engineering
Deliverect
Toronto, ON
- Full-time
Architect and implement robust code solutions and bug fixes directly within Deliverect’s core products (Commerce, Restaurant, and Dispatch), primarily utilizing Python (Flask/Eve).
Added 47 mins ago
D-
Lead QA
DELAN - IT Talent Solutions
Montreal, QC
- Full-time
Œuvrer dans un environnement sur Python, Linux, Firmware
Added 47 mins ago
UO
Bioinformatics Specialist
University of British Columbia
Vancouver, BC · PHSA | BC Children's Hospital Research Institute - North Block (BCRI CMMT) (BCHRIN)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
Added 47 mins ago
DS
Experimental Physicist
Daedal Systems
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
Experience with data analysis in Python, MATLAB or similar
Added 1 hour ago
TA
Agentic AI Architect
Tiger Analytics
Canada
- Full-time
Development Skills: Strong production-grade programming skills in Python (preferred), TypeScript, or Java, along with experience in CI/CD pipelines for AI (LLMOps)
Added 1 hour ago
EB
Senior Financial Analyst, Financial Data & Systems
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Previous programming experience such as VBA, Python
Added 1 hour ago
MM
Senior Forward Deployed Engineer
Mitchell Martin Inc.
Mississauga, ON
- $73 to $78 CAD / hour
- Other
Java | Python | Spring Framework | Microservices | REST APIs | CI/CD Tools | Containers | Relational Databases | NoSQL Databases | HTML/CSS/JavaScript
Added 1 hour ago
GT
Senior Business Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $70 to $72 CAD / hour
- Contract
Added 1 hour ago
A
Senior QA – Backend Automation & Data Testing
Acunor
ON · Ontario, Canada
- Contract
We are seeking an experienced Senior QA Engineer with strong expertise in Python automation, backend testing, SQL, REST APIs, and cloud data pipeline validation. The ideal candidate will…
Added 1 hour ago
MT
CAD Engineer- LEC
Mirafra Technologies
Canada
- Full-time
Write Tcl, Python, and Perl scripts to automate flow execution, report generation, and automated debug triage.
Added 1 hour ago
EB
Senior Financial Analyst, Financial Data & Systems
EQ Bank
Toronto, ON
- Full-time
Previous programming experience such as VBA, Python

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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