IT & data jobs in Canada

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Added 1 month ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…scalable infrastructure for AI agents, as well as optimize data processing and develop automated systems for model…
Added 1 month ago
P/
Conseiller(ère) en support technique / Technical Support Agent
Progitek / Dentitek
Quebec, QC
- Full-time
Added 1 month ago
TT
Senior System Administrator
Torus Talent
Vancouver, BC
- Full-time
PLEASE NOTE: This role is based in Vancouver and requires 3 days per week in the office
Added 1 month ago
VI
Information Technology Help Desk Technician
VUE IT INC
Calgary, AB · Greater Calgary Metropolitan Area
- Temporary
Added 1 month ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking an experienced Data Engineer to build and operate the Core Data Infrastructure that underpins our ML and Science initiatives for Bot Management. You will design and own…
Added 1 month ago
IQ
Senior Technical Business Analyst
Infinity Quest
Canada
- Contract
…requires strong business analysis, stakeholder management, data modelling and analysis, and project delivery capabilities to drive end-to-end initiatives across business and technology…
Added 1 month ago
SI
Senior Cybersecurity Specialist
STACK IT Recruitment
Burlington, ON
- $110,000 to $130,000 CAD / year
- Full-time
Added 1 month ago
Intern - Data Scientist, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
The Data Science Co-op assists in transforming data into actionable insights that support customer growth and business objectives. The role contributes to customer analytics, predictive…
Added 1 month ago
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Integration Systems Analyst
OntarioMD
Toronto, ON
- Full-time
Added 1 month ago
EB
Intern - Data Scientist, Winter 2027
EQ Bank
Toronto, ON
- Full-time
The Data Science Co-op assists in transforming data into actionable insights that support customer growth and business objectives. The role contributes to customer analytics, predictive…
Added 1 month ago
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Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 1 month ago
MG
Bilingual Service Desk Analyst – Laptop Deployment
Maplesoft Group, an SEB Company
Ottawa, ON
- Contract
…deployment, hardware refresh activities, device configuration, user data migration and hands-on technical…
Added 1 month ago
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IT Systems Administrator
Cavtera
Ottawa, ON · Kanata, ON
- $70,000 to $90,000 CAD / year
- Full-time
Cavtera builds digital solutions that connect real-world operations with data, software, and decision-making. We work closely with clients to understand how their businesses operate on the…
Added 1 month ago
UT
IT Systems Administrator IV #26-23185
US Tech Solutions
Mississauga, ON
- $78.98 CAD / hour
- Contract
Added 2 months ago
Guidewire Business Systems Analyst
GFT Technologies SE
Toronto, ON
Perform data mappings, reverse engineering, documenting as-is flows, performing gap analysis and elicit requirements to support to-be end state
Added 1 month ago
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Data Analyst - Expert
Raise
Toronto, ON
- Full-time
Must Have Skills
Added 1 month ago
Technical Support Engineer
Nozomi Networks
Canada
Added 1 month ago
AF
Technical Support Supervisor
Armstrong Fluid Technology
Toronto, ON
- Full-time
3–5 years of technical support or service engineering experience required
Added 1 month ago
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IT System Administrator
Waabi
Toronto, ON
- $114,000 to $140,000 CAD / year
- Full-time
Added 1 month ago
SG
Senior Technical Support Representative
SOLV4EX Group
Richmond, BC
- Full-time
Hybrid work schedule: 3 days per week in the Richmond, BC office and 2 days per week remote
Added 1 month ago
CD
Data Scientist | Data Scientist
Cirque du Soleil Entertainment Group
Montreal, QC
- Full-time
Le Cirque du Soleil recherche un Data Scientist pour rejoindre notre équipe d’analytique d'affaires et contribuer à la mise en place et au développement de la prochaine génération de…
Added 1 month ago
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Data Engineer I
Docebo
Toronto, ON
- $68,600 to $91,500 CAD / year
- Full-time
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture…
Added 1 month ago
PG
Guidewire Business System Analyst
Pacer Group
Toronto, ON
- $60 to $68 CAD / hour
- Contract
Added 1 month ago
DE
Senior Technical Support Representative
Discover Energy Systems
Richmond, BC
- Full-time
Hybrid work schedule: 3 days per week in the Richmond, BC office and 2 days per week remote
Added 1 month ago
VC
Conseiller(ère) en support technique / Technical Support Agent
Valsoft Corporation
Remote, Canada
- Full-time
- Remote

Amazon

Data Engineer, Amazon Traffic Engineering

Vancouver, BC, Canada

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Job details

Experience: 3+ years of data engineering experience
Posting language: English
Posted: Sep 15, 2026

Original job description

We are seeking an experienced Data Engineer to build and operate the Core Data Infrastructure that underpins our ML and Science initiatives for Bot Management. You will design and own production-grade data pipelines that ingest billions of events from diverse source systems and transform raw signals into ML-ready feature groups that Science and ML Platform teams depend on for training, evaluation, and inference.

This is a hands-on engineering role at the center of a fast-moving ML organization. Our Science teams build increasingly sophisticated models, each requiring different data formats, latencies, and serving patterns. You will build the pipelines and feature infrastructure that make this possible: ingesting from Trails and Non-Trails sources, transforming disparate datasets into versioned feature groups, and operating the Feature Store that serves features consistently across all model types. You will partner directly with Applied Scientists to translate model data requirements into reliable pipelines, and work across data engineering, software engineering, and science teams to deliver data that is accurate, timely, and well-governed.

Key job responsibilities
Data Pipelines & Ingestion - Build and own batch and near real-time pipelines spanning Trails (raw and aggregated) and Non-Trails sources (Clickstream, Customer Segmentations, OPS). Evolve pipelines from Cradle/POC to production-grade using AWS Glue. Implement data quality checks, drift detection, and governance frameworks.

Feature Engineering & Serving - Build versioned feature groups across multiple storage backends (S3 for tabular data, OpenSearch for embeddings). Develop production pipelines that transform raw signals into ML-ready features, and help operate the Feature Store that serves them consistently to Science teams.

Streaming & Real-Time Systems - Develop and operate Apache Flink applications and stream processing for near real-time feature computation. Build event-driven data flows leveraging Kinesis and Kafka to support low-latency bot detection signals.

Science Partnership - Partner with Applied Scientists and ML Platform engineers to define data contracts and SLAs, understand model data requirements, and ensure feature pipelines integrate cleanly with training and inference systems.

Operational Excellence - Own the reliability, monitoring, and cost efficiency of the pipelines you build. Participate in on-call, root-cause data issues, and drive improvements that reduce operational load.

About the team
Traffic Engineering's Bot Management organization protects Amazon's ecosystem by detecting and mitigating automated threats at scale. Our Core ML Data Infrastructure team is responsible for building and operating the foundational data infrastructure that powers bot detection, AI agent identification, and content exfiltration defense. We are building a unified, model-agnostic, production-grade ML platform that brings together training, evaluation, and inference pipelines into a cohesive system serving multiple model types across the organization. Basic Qualifications: - 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence 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

You will design and own production-grade data pipelines to transform raw signals into ML-ready feature groups for bot management. Additionally, you will partner with applied scientists to define data contracts and ensure reliable, scalable feature serving across the organization.

Requirements

Candidates must have at least 3 years of data engineering experience and proficiency in at least one modern programming language like Python, Java, or Scala. Strong knowledge of batch and streaming data architectures and professional software engineering best practices is required.

Skills

Data engineering
Data modeling
ETL pipelines
Python
Java
Scala
NodeJS
Apache Flink
Kafka
Kinesis
AWS Glue
Data warehousing
Feature engineering
Stream processing
Data governance

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred Profit Sharing Plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Machine Learning
AWS
ETL
Python
Java
Scala
NodeJS
Apache Flink
Kafka
Kinesis
AWS Glue
Redshift
S3
OpenSearch
Data Pipelines
Feature Store
Stream Processing
Data Governance
Bot Management
Applied Science
Data Modeling
Data Warehousing
Cloud Computing
Distributed Systems
Real-time Systems
Monitoring
Operational Excellence
Infrastructure

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IT & data jobs in Canada

Machine Learning Engineer - Early Career (Canada)

Conseiller(ère) en support technique / Technical Support Agent

Senior System Administrator

Information Technology Help Desk Technician