Jobs in Canada

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Added 1 month ago
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AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 1 month ago
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Reliability Engineer
Finning
Edmonton, AB
- Full-time
The Reliability Engineer provides technical leadership to improve fleet performance and support business objectives through asset management, reliability analysis, and maintenance…
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
Senior Software Engineer, Demand Forecasting & Guidance
Amazon
Toronto, ON
We are looking for a Senior Software Development Engineer to own the systems that produce and serve those forecasts across Live Events and Streaming TV. This is a deep-systems role at the…
Added 1 month ago
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Technical Shift Lead
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 1 month ago
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Hydraulic Proposal Engineer
ANDRITZ
Pointe-Claire, QC
- Full-time
Prepare hydraulic proposals, technical data sheets, and clear, compelling reports tailored to customer needs.
Added 1 month ago
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Senior IC Design Verification Engineer
NXP Semiconductors
Ottawa, ON · Kanata
- Full-time
We are seeking a highly motivated Design Verification Engineer with a relentless drive to excel and make a significant impact. Our team offers innovative thinking, engineering expertise,…
Added 1 month ago
WI
Lead Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Toronto, ON
- Full-time
…high-performance computing across Canada. As a technical leader and Engineer of Record, you will guide multidisciplinary teams and clients through complex data center projects, advancing…
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
WI
Lead Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Vaughan, ON
- Full-time
…high-performance computing across Canada. As a technical leader and Engineer of Record, you will guide multidisciplinary teams and clients through complex data center projects, advancing…
Added 1 month ago
WI
Lead Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Markham, ON
- Full-time
…high-performance computing across Canada. As a technical leader and Engineer of Record, you will guide multidisciplinary teams and clients through complex data center projects, advancing…
Added 1 month ago
NS
Project Coordinator - Summer Student
Northern Strands Group of Companies
Saskatoon, SK
- Internship
Innovation- if it doesn’t exist, we will engineer and manufacture it
Added 1 month ago
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Engineering Summer Student
Northern Strands Group of Companies
Saskatoon, SK
- Internship
Innovation- if it doesn’t exist, we will engineer and manufacture it
Added 1 month ago
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Stage - Hiver 2027- Service Numériques pour les Moteurs – Ingénieur Système Sol / Internship - Winter 2027- Digital Engine Services (DES) – Ground system engineer
RTX
Longueuil, QC
- Full-time
Added 1 month ago
MI
Engineering Co-op Student
Magna International
Brampton, ON
- Full-time
Adhere to applicable quality systems and IATF-16949 standards
Added 1 month ago
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Plant Controls Engineer
Piston Automotive
Mississauga, ON
- Full-time
The Plant Controls Engineer plays a crucial role in maintaining, optimizing, and troubleshooting the control systems essential to production processes within the manufacturing facility.…
Added 1 month ago
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Sr Analyst, DevOps
Brookfield
Toronto, ON
- Full-time
Build reliable, scalable data pipelines to ingest, transform & validate data – ensuring quality & availability for AI training, inferencing and production workflows
Added 1 month ago
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Manager, Software Engineering
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 1 month ago
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Test Engineer – Guelph, ON Canada
Connect Tech Inc.
Guelph, ON
- Full-time
The Test Engineer is responsible for developing, implementing, and continuously improving our manufacturing test processes used to produce high-quality electronic hardware products.…
Added 1 month ago
A
Manager, Software Engineering
AltaML
Calgary, AB
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 1 month ago
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Offering Specialist – Fire
Armstrong Fluid Technology
Toronto, ON
- Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 1 month ago
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Avionics Systems Engineer
TechDoQuest
Montreal, QC
- Contract
This job posting is for an existing, active vacancy and we are looking to hire Avionics Systems Engineer at Montreal, QC (Hybrid), immediately who has strong experience in Develop and…
Added 1 month ago
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Manager, Software Engineering
AltaML
Edmonton, AB
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 1 month ago
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Senior Hardware Engineer
Per Vices Corporation
Toronto, ON
- Full-time
We are looking for a senior hardware engineer to help support the design, manufacturing, testing, and debugging of our Software Defined Radios. This position will see you design and develop…
Added 1 month ago
Lead Mechanical Engineer, Mission Critical Buildings
WSP
Thornhill, ON
…high-performance computing across Canada. As a technical leader and Engineer of Record, you will guide multidisciplinary teams and clients through complex data center projects, advancing…

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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