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Added 1 month ago
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Ingénieur(e) Senior, Plateforme de Données
Astek
Montreal, QC
- Full-time
…moderne. Le/la candidat(e) idéal(e) a de l'expérience avec Python, Spark, Git, Microsoft Fabric et l'architecture médaillon (Bronze, Silver, Gold). Dans ce rôle, vous concevrez et…
Added 1 month ago
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FY27 Intern - Low-Power AI, Audio, and Sensors Subsystem Engineering Internship - ASIC Design / Verification/Implementation - Canada (12 or 16 months)
Qualcomm
Markham, ON
- Full-time
As an intern on our team, you will work closely with an experienced engineer and contribute hands-on to design, verification, and modelling of ASIC HW IP (blocks) and sub-systems and learn…
Added 1 month ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values…
Added 1 month ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data…
Added 1 month ago
A
Machine Learning Engineer
ALS
Montreal, QC
- Full-time
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 1 month ago
CG
Senior DevOps/SRE Engineer
Credit Genie
Toronto, ON
- Full-time
As a Senior DevOps / SRE Engineer on this team, you'll own reliability and deployments across our AWS and Kubernetes environment, take real ownership of our compliance work, and help build…
Added 1 month ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
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
Security Engineer , AI Security
Amazon
Vancouver, BC
…ground up? The Amazon AI Security team is looking for a Security Engineer to design security controls and validate that our AI and machine learning (ML) services, applications, and emerging…
Added 1 month ago
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Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
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
Lead IAM Engineer
Braze
Toronto, ON
If you’re an experienced IAM engineer with deep Okta expertise who enjoys both defining architecture and getting hands-on with automation, integrations, governance, and platform…
Added 1 month ago
B
Sr Analyst, DevOps
Brookfield
Toronto, ON
- Full-time
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Added 1 month ago
B
Lead IAM Engineer
Braze
Toronto, ON
- Full-time
If you’re an experienced IAM engineer with deep Okta expertise who enjoys both defining architecture and getting hands-on with automation, integrations, governance, and platform…
Added 1 month ago
ES
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
As “Principal Consultant, Agentic AI Cybersecurity Engineer” you will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the…
Added 1 month ago
C
Ingénieur(e) solutions
ChapsVision
Montreal, QC
- Full-time
Expérience pratique d’au moins un langage de programmation (Python, Java, C# ou similaire)
Added 1 month ago
C
Senior Full-Stack Engineer, Internal Applications
Cohere
Remote, Canada
- $215,000 to $310,000 CAD / year
- Full-time
- Remote
As a Full-Stack Software Engineer on the Internal Applications team, you will:
Added 1 month ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
Lovelytics is seeking a Principal Gen AI Consultant with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part…
Added 1 month ago
J
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 1 month ago
TI
DevOps Engineer
TitanFile Inc.
Toronto, ON
- Full-time
TitanFile is looking for a DevOps Engineer who is personable, persistent, and confident. A person who is passionate about learning new technologies and improving the skills they already…
Added 1 month ago
Senior Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Software Engineer. Could It Be You?
Added 1 month ago
C
R&D Optical Product Ramp Engineer
Ciena
Ottawa, ON
- Full-time
…improvements. You will combine manufacturing data analysis with hands-on lab debug and cross-functional execution to identify issues, recommend corrective actions, and help drive them to…
Added 1 month ago
BA
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Added 1 month ago
D
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
C
R&D Optical Product Ramp Engineer
Ciena
Ottawa, ON
- Full-time
…improvements. You will combine manufacturing data analysis with hands-on lab debug and cross-functional execution to identify issues, recommend corrective actions, and help drive them to…

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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