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Added 1 month ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…agents, as well as optimize data processing and develop automated systems for model…
Added 1 month ago
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AI Engineer
Cognizant
Toronto, ON
- Full-time
Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
Added 1 month ago
P&
Stage - Hiver 2027- Service Numériques pour les Moteurs – Ingénieur Système Sol / Internship - Winter 2027- Digital Engine Services (DES) – Ground system engineer
Pratt & Whitney
Longueuil, QC
- Full-time
Added 1 month ago
RC
Software Developer II
Ricoh Canada Inc.
Kitchener, ON
- $70,000 to $100,000 CAD / year
- Full-time
We are seeking an InterSystems IRIS and HealthShare Developer to design, build, and optimize enterprise-grade integration solutions and patient-centric healthcare systems. In this role, you…
Added 1 month ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large Language Models into their…
Added 1 month ago
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Test Technologist
Ecolab
Calgary, AB · CAN-Calgary Office Liquid Lab
- Full-time
…testing and qualification of Cooling Distribution Unit (CDU)…
Added 1 month ago
MI
Equipment and Process Technician
Magna International
Guelph, ON
- Full-time
The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other…
Added 1 month ago
TI
Certified Welder
Tolko Industries
Armstrong, BC
- Full-time
Experience with Computerized Maintenance Management Systems (CMMS) - preferably JD Edwards.
Added 1 month ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
…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,…
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
Security Engineer , AI Security
Amazon
Vancouver, BC
- Design and validate secure architectures for AI/ML systems, balancing simplicity and extensibility while applying security engineering best practices.
Added 2 months ago
RB
Municipal Infrastructure and Roads Project Engineer
R.J. Burnside & Associates Limited
Barrie, ON
- Full-time
…infrastructure and support the delivery of safe, sustainable municipal systems. As a Municipal Infrastructure and Roads Project Engineer, you’ll bring your technical expertise,…
Added 1 month ago
MS
Systems Engineer – Ship Integration
MDA Space
Halifax, NS
- Full-time
…as a sovereign Canadian provider of mission-critical C4ISR systems, bringing disciplined prime-contractor execution to defence and security…
Added 1 month ago
UM
Senior Manager, Test Engineering
Ultra Maritime
Dartmouth, NS
- Full-time
The Senior Manager, Test Engineering is responsible for leading the Test Engineering organization and developing the strategic vision for product testing across the business. This role…
Added 1 month ago
A
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
A
SCADA & DWRR Design Specialist
ACCIONA
ON · Ontario, Canada
- Full-time
Bachelor's degree in Engineering (Electrical, Mechanical, or Systems preferred).
Added 1 month ago
EI
Project Manager, Rail & Transit
Egis in Canada
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Manage multidisciplinary teams, including civil, structural, architectural, systems, utilities, environmental, construction, and project controls specialists.
Added 1 month ago
Facilities Integrity Co-op Student
Kingston Midstream
Calgary, AB
Participate in Engineering Assessments (Fitness-for-Service) and Failure Root Cause Investigations to support the development of repair execution plans to maintain the integrity and…
Added 1 month ago
Director, Capital Projects
Cyclic Materials Inc.
Toronto, ON
…recycling and recovery, from planning and site selection through engineering, procurement, construction, commissioning, start-up, and…
Added 1 month ago
Account Manager Field - Western Canada
Henkel group
AB
Bachelor's Degree in civil engineering, construction management, or similar field preferred
Added 1 month ago
NA
Manager, Project Controls
North America Construction (1993) Ltd. - NAC Constructors Ltd.
Morriston, ON
- Full-time
…almost 500 skilled professionals and experts in trades and engineering, comprehensively handles projects, from conceptualization to delivery. We also have extensive experience in fields…
Added 1 month ago
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Project Coordinator - PLM Implementation
Telesat
Ottawa, ON
- Full-time
Experience supporting PLM, ERP, MES, engineering systems, or other enterprise transformation programs.
Added 1 month ago
Developer Advisory
Scotiabank
Toronto, ON · Scarborough, ON
Contributes to the overall success of the Transaction Services Canadian Banking Engineering team, ensuring specific individual goals, plans, initiatives are executed / delivered in support…
Added 1 month ago
UO
Canada Impact+ Emerging Leader in Computational Oncology
University of British Columbia
Vancouver, BC · VCH | Vancouver General Hospital - Gordon and Leslie Diamond Health Care Centre (VGHHCC)
- Full-time
Added 1 month ago
NS
Senior IC Design Verification Engineer
NXP Semiconductors
Ottawa, ON · Kanata
- Full-time
Part of AI and Chip Engineering (ACE), a central design organization within NXP, developing products for multiple business lines in Automotive, Internet of Things (IoT), Networking, and…

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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