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Integration Platform Manager
TALTEK | TALENT in TECHNOLOGY
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
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Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
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U SPORTS Winter Intern
M2 Partners
Toronto, ON
- Full-time
…industries. Our approach focuses on aligning people, process, data, technology, and AI to drive measurable business outcomes, with core solution areas in marketing automation, data…
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Staff Engineer, Infrastructure Solutions (12 month contract)
EQ Bank
Toronto, ON
- Contract
…specialist will collaborate with various teams, including Azure Cloud Operations and business unit infrastructure requirements, to ensure alignment with organizational objectives while…
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Lead, Forward Deployed Engineering
Deliverect
Toronto, ON
- Full-time
Strong understanding of cloud-native environments and developer tooling, including Git, the CLI, and microservice architectures.
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Senior Account Executive
Improving
Calgary, AB
- Full-time
…with Improving’s expertise in custom software development, cloud, data and AI, application modernization, and technology consulting. Working alongside our consulting and delivery teams,…
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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
…communicating and marketing the Core, and managing compute and data management systems. This individual will research, analyze, implement solutions to support and enhance BCCHR activities,…
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Marketing Cloud Specialist
Medcan
Toronto, ON
- $85,122 to $117,042.75 CAD / year
- Full-time
· Experience connecting Salesforce Marketing Cloud with CRM platforms and enterprise data sources.
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Senior Business Analyst
Mariner
Halifax, NS
…people. We partner with people embracing change, leveraging data, cybersecurity, cloud, and change management to drive successful business outcomes that matter to our…
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Unified Customer Experience - Consultant - Senior Full Stack Engineer
Questrade Financial Group
Calgary, AB
…under production load (for example, high-frequency, real-time data streaming in trading…
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Senior Engagement Manager
EXL
Canada
- Full-time
Lead data-platform modernization, cloud migration, data engineering, data management, governance, quality, integration, and analytics enablement initiatives.
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Portfolio Manager, Civil Training Programs
CAE
Montreal, QC
- Full-time
Experience with authoring and media development tools such as Articulate 360, Adobe Captivate, Adobe Creative Cloud applications including Illustrator, After Effects, and Audition, and…
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Senior Manager, Digital and Customer Applications
BC Ferries
BC · British Columbia, Canada
- Full-time
Reporting to the Executive Director, IT Applications and Data, you contribute value through key areas of oversight such as:
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Agentic AI Architect
Tiger Analytics
Canada
- Full-time
…firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate…
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Junior EMR Implementation Specialist (BC)
Ava Industries
Abbotsford, BC · Lower Mainland, British Columbia
- Full-time
Join Ava Industries, where we're revolutionizing healthcare with our cutting-edge cloud-based EMR software. We are seeking an experienced and passionate Junior EMR Implementation Specialist.
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Finance Manager
BGIS
Markham, ON
- Full-time
…telecommunications, financial services, oil & gas, healthcare and cloud enterprise. In addition to managing a diverse portfolio of corporate offices, retail, colleges, hospitals and…
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Senior Full Stack Developer
Affinity
BC · British Columbia, Canada
- Contract
analysis, migration, reconciliation, and validation of legacy data;
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Senior Forward Deployed Engineer
Mitchell Martin Inc.
Mississauga, ON
- $73 to $78 CAD / hour
- Other
Knowledge of DevOps practices, containerization, and cloud deployment on major platforms.
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MS SQL Database Administrator
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Implement native security features in Oracle (TDE, Data Redaction, Database Vault) and SQL Server (TDE, Always Encrypted)
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Senior QA – Backend Automation & Data Testing
Acunor
ON · Ontario, Canada
- Contract
…in Python automation, backend testing, SQL, REST APIs, and cloud data pipeline validation. The ideal candidate will have hands-on experience testing high-volume transaction processing…
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Admission Assistant, Operations & Experience
Upper Canada College
Toronto, ON
- $46,352 to $60,837 CAD / year
- Full-time
Admission Systems Administration & Data Management
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Manager Marketing & Communications
E2IP TECHNOLOGIES
Montreal, QC
- Full-time
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Schedule Manager
GagaMuller
Merritt, BC
- Full-time
With a proven track record working alongside global technology leaders and data centre developers, we combine local expertise with global standards to ensure projects are delivered on time,…
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Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…country, for a Senior Consultant, ML/AI Engineer to join its Data & AI practice in Vancouver. The firm helps some of Canada’s largest organizations solve complex business challenges, and…
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Manager, Data Analytics and Reporting
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
Technical expertise: Strong hands-on experience with Power BI, Snowflake, and SQL, including data modeling, semantic models, DAX, Power Query, complex queries, data transformations, large…

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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