Jobs in Canada

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Added 22 days ago
TC
Lead Developer, Research & Development
The Citco Group Limited
Toronto, ON
- Full-time
The Lead Developer within the Transformation Office's R&D team will provide technical leadership for AI-enabled solutions supporting a strategic Fund Services transformation program using…
Added 22 days ago
Senior Cybersecurity Specialist
STACK IT Recruitment
Hamilton, ON
Scripting experience with PowerShell or Python.
Added 22 days ago
Senior Cybersecurity Specialist
STACK IT Recruitment
Burlington, ON
Scripting experience with PowerShell or Python.
Added 22 days ago
Senior Cybersecurity Specialist
STACK IT Recruitment
Oakville, ON
Scripting experience with PowerShell or Python.
Added 22 days ago
Senior Cybersecurity Specialist
STACK IT Recruitment
Mississauga, ON
Scripting experience with PowerShell or Python.
Added 22 days ago
S
IT Network Specialist
Scalian
Montreal, QC
- Full-time
Experience with Agile/DevOps environments and network automation using Ansible, Python, Terraform, or similar is an asset
Added 1 month ago
Data Intelligence Specialist
L3Harris Technologies
Hamilton, ON · Waterdown, ON
SQL, Python, or similar data processing technologies
Added 22 days ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Added 22 days ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 22 days 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
Compétences avancées sous Excel, Power BI, Python sont des atouts
Added 22 days ago
EC
Applications Developer (Contract)
ECO Canada
Calgary, AB
- Contract
As a key member of the Applications Development team, the Applications Developer will be responsible for developing and maintaining our web applications. While each member of ECO Canada has…
Added 22 days ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 23 days ago
E
Test Technologist
Ecolab
Calgary, AB · CAN-Calgary Office Liquid Lab
- Full-time
Programming experience (Python and/or C/C++).
Added 23 days ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Added 23 days ago
Security Engineer , AI Security
Amazon
Vancouver, BC
…and data flow security. After lunch, you could be writing a Python script to automate a recurring security check or leading a penetration test against a recently deployed application. You…
Added 22 days ago
SI
Senior Cybersecurity Specialist
STACK IT Recruitment
Burlington, ON
- $110,000 to $130,000 CAD / year
- Full-time
Scripting experience with PowerShell or Python.
Added 22 days ago
S
IT Network Specialist
Scalian
Montreal, QC
- Full-time
Experience with Agile/DevOps environments and network automation using Ansible, Python, Terraform, or similar is an asset
Added 23 days ago
Intern - Data Scientist, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
Hands on experience with programming languages such as PySpark, SQL, or Python.
Added 23 days ago
NS
Senior IC Design Verification Engineer
NXP Semiconductors
Ottawa, ON · Kanata
- Full-time
Strong Experience in EDA tools and scripting (Python, TCL, Perl, Makefile, Shell) used to build tools and flows for verification environments
Added 23 days ago
MS
Senior Data Engineering Specialist (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Develop software solutions using Python, Java, C++, Perl, or similar technologies to automate data processing, operational workflows, and platform management.
Added 22 days ago
J
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
Strong proficiency in Python or Bash, with the ability to write scripts for security automation, log parsing, and threat analysis
Added 22 days ago
C
Winter 2027: Production Support Co-op ( 4 months)
CGI
Toronto, ON
- Full-time
Experience with at least one scripting language (Python, Bash, PowerShell, etc.)
Added 22 days ago
EB
Intern - Data Scientist, Winter 2027
EQ Bank
Toronto, ON
- Full-time
Hands on experience with programming languages such as PySpark, SQL, or Python.
Added 22 days ago
I
Software Developer - Inteleshare
Intelerad
Canada
- Full-time
We are seeking a Software Developer to join the InteleShare team and contribute to Intelerad's secure, cloud-based medical image sharing platform. In this role, you will design and deliver…
Added 22 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector…

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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