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Added 1 month ago
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Senior Penetration Tester & Red Team Engineer
Cognizant
Toronto, ON
- Full-time
We are seeking a Senior Penetration Tester / Red Team Engineer to support offensive security initiatives through advanced penetration testing, red team operations, and custom security tool…
Added 1 month ago
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AI Engineer Intern (Winter 2027)
Ciena
Ottawa, ON
- Full-time
Proficiency in at least one general-purpose programming language, such as Python, JavaScript, TypeScript, Java, or C++, and willingness to learn new languages and tools.
Added 1 month ago
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Senior Android Developer - Trailering Application
General Motors
Markham, ON · Oshawa, ON
- Full-time
GM is looking to hire a Senior Android Software Engineer to lead design, development, and long‑term maintenance of in‑vehicle infotainment (IVI) apps on Android Automotive OS (AAOS) for…
Added 1 month ago
AI Security Engineer
Celestica International LP
Toronto, ON
Demonstrated development experience including Coding or Scripting experience (ie. Python, Powershell, Java, .NET)
Added 1 month ago
Software Development Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll build and deliver large-scale, customer-facing platforms that power how…
Added 1 month ago
Software Development Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Mobile Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll build and deliver customer-facing mobile experiences that power…
Added 1 month ago
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Engineering Excellence NAM - SVP
Citi
Mississauga, ON
- Full-time
6+ years of hands-on development experience in Java and/or Python
Added 1 month ago
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Senior Full-Stack Software Engineer
Manulife
Toronto, ON
- Full-time
At Manulife, we're transforming how technology supports investment decision-making. As a Senior Full-Stack Engineer, you'll work alongside talented engineers, architects, and business…
Added 1 month ago
ND
Tech Consultant - Senior Full-Stack Engineer
NTT DATA North America
Vancouver, BC
- Other
NTT Data is looking for a SR. Full- Stack Engineer to join their team in Vancouver, British Columbia.
Added 1 month ago
JT
Senior Java Software Engineer
Jobility Talent Solutions
Toronto, ON
- Contract
Job Title: Java Developer – Capital Markets (eTrading)
Added 2 months ago
Sr. DevSecOps Engineer
Rogers Communications
Brampton, ON · Toronto, ON
We are currently seeking a Sr DevSevOps Engineer to join the Rogers Enterprise DevSecOps Engineering Team. Working from Toronto or Brampton office, you will work with the Enterprise DevOps…
Added 1 month ago
SS
Sr. Software Engineer, AVP II
State Street
Toronto, ON
- Full-time
…participants in the industry. The role requires a strong full-stack engineer who can work across rich web functionality, backend services, automated testing, performance engineering, and…
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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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
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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
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Staff Software Engineer
Open People Network (OPN)
Toronto, ON
- Full-time
Describe the most relevant production system you have personally built or substantially owned using Java and Spring Boot. What did you build, how recently were you hands-on in the code, and…
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
SS
Sr. Software Engineer, AVP II
State Street
Toronto, ON
- Full-time
…participants in the industry. The role requires a strong full-stack engineer who can work across rich web functionality, backend services, automated testing, performance engineering, and…
Added 1 month ago
Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Software Engineer. Could It Be You?
Added 1 month ago
RT
Integration Engineer
Russell Tobin
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Overview: Hiring a seasoned Integration Engineer with deep expertise in both Boomi and Workato, focused primarily on payroll and HR application integrations. The role requires 3–5 years…
Added 1 month ago
RT
Sr Integration Engineer (Intelligent Automation)
Russell Tobin
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Position: Sr Integration Engineer (Intelligent Automation)
Added 1 month ago
TC
Software Engineer - Python, AWS Lambda, AI
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Hands-on expertise with Python, Lambda functions, APIs, LLM Models, Java
Added 1 month ago
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Senior Software Engineer
Tactable
Toronto, ON
- Full-time
The Role: Senior Software Engineer (Cloud, Data & APIs)
Added 1 month ago
MM
Senior Software Engineer
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are currently recruiting for a Senior Software Engineer to support our IT – Application Development team. This role can be based out of our Toronto, London or Burlington offices.

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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