Find work in Canada.

325,167 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 57 mins ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
Experience with DevOps and observability tooling such as Git, GitHub Actions, Docker, Terraform, and Datadog.
Added 1 hour ago
Senior Software Engineer II, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Back-end: Node.js, TypeScript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Added 1 hour ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Experience with DevOps and observability tooling such as Git, GitHub Actions, Docker, Terraform, and Datadog.
Added 1 hour ago
Security Engineer
Questrade Financial Group
Toronto, ON
Developer Collaboration: Explaining vulnerabilities using affected code, reproduction steps, and practical remediation options. Pairing with engineers on fixes, reviewing security-sensitive…
Added 3 hours ago
AWS Developer (Cloud & Serverless)
KTek Resourcing
Toronto, ON
Full-time
Title : AWS Developer (Cloud & Serverless) - Fresh Grade
Added 3 hours ago
Full Stack Developer – Intermediate / Senior
SBX Technologies
Montreal, QC
Full-time
We’re looking for an experienced Full Stack Developer to join our development team and help build, enhance, and modernize our products.
Added 3 hours ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Back-end: Node.js, Typescript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Added 3 hours ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Back-end: Node.js, Typescript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Added 3 hours ago
Senior Software Engineer (Voyager)
Relay
Remote, Canada
Full-time · Remote
Developer Enablement: Give teams across Relay the tooling, patterns, and guidance they need to ship AI workflows quickly and safely
Added 3 hours ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
Deploy and run the service on Kubernetes (on-premises, AKS, and EKS) using Helm, GitOps, and Terraform, and keep the CI/CD pipelines (Jenkins, GitHub Actions) healthy.
Added 4 hours ago
AWS Developer
KTek Resourcing
Toronto, ON
Contract
Required Skills: AWS, Lambda, API Gateway, CloudFormation/Terraform, Python/Java, Docker, Kubernetes, CI/CD, CloudWatch, Microservices.
Added 5 hours ago
Lead Data Engineer
AgileGrid Solutions
Canada
Full-time
We are seeking a highly skilled Senior Developer in Data Engineering to join our Financial Crime and Regulatory Projects team at National Bank. This pivotal role involves serving as a Data…
Added 9 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
Develop reusable infrastructure as code using Terraform, including cloud, networking, data-platform, and Databricks resources; manage remote state and reusable modules.
Added 13 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Experience with Git-based development, automated testing, CI/CD, and infrastructure as code using Terraform, AWS CDK, or AWS CloudFormation.
Added 13 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Experience with Git-based development, automated testing, CI/CD, and infrastructure as code using Terraform, AWS CDK, or AWS CloudFormation.
Added 13 hours ago
Site Reliability Engineer
Raydar
Remote, Canada
Full-time · Remote
…You will own critical infrastructure domains across CI/CD, developer experience, observability, and agent harness engineering, with room to shape how the platform…
Added 16 hours ago
Senior Azure Platform / DevOps Engineer
Makai Labs
Canada
Full-time
We build and run cloud platforms for our clients. A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. You'd own these…
Added 17 hours ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Build reusable Infrastructure-as-Code capabilities using Terraform.
Added 17 hours ago
Cloud Operations Analyst - Operate
Deloitte
Toronto, ON
Full-time
Exposure to Infrastructure as Code concepts and tools such as Terraform.
Added 17 hours ago
Manager, Software Development
CNN
Ottawa, ON · Kanata, ON
Full-time
Proficiency in cloud services such as AWS (Serverless/SAM, etc.), containerization (Docker/Kubernetes), and infrastructure management (Terraform, CloudFormation).
Added 18 hours ago
Senior Software Developer
CNN
Ottawa, ON · Kanata, ON
Full-time
Expert level when working with modern engineering technologies such as Fastly, AWS, Serverless/SAM, Kubernetes, Docker, Terraform, Jenkins, Snowflake and Git.
Added 18 hours ago
Cloud Analyst
Sun Life Québec
Montreal, QC
Full-time
Exposure to systems provisioning and configuration management using automation tools such as Terraform, Ansible, Jenkins, Kubernetes, Backstage or other cloud-native technologies.
Added 18 hours ago
Platform Team Lead
nesto
Canada
Full-time
…managed using Infrastructure as Code via Pulumi (similar to Terraform, but using a rich and extensible programming language and API, in our case, TypeScript), ArgoCD and…
Added 18 hours ago
Senior Platform Developer
nesto
Canada
Full-time
…managed using Infrastructure as Code via Pulumi (similar to Terraform, but using a rich and extensible programming language and API, in our case, TypeScript), ArgoCD and…
Added 19 hours ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).

Clutch Technologies Inc.

Senior Data Engineer

Toronto, ON, Canada

Pay: Salary: $160,000 - 200,000
Experience: 5+ years of experience in data engineering or a closely related field.
Posting language: English
Posted: Sep 30, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Clutch

Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee. Named one of Canada's Top Growing Companies two years in a row and awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca.

About the role

At Clutch, we believe advances in AI are fundamentally changing how great products are built. Traditional handoffs between product, design, and engineering are giving way to smaller, faster teams where builders can take ideas from concept to production in days instead of months.

As a Senior Data Engineer, you'll own the data platform that powers decision-making across Clutch, from how we buy and price vehicles, to how customers move through our funnel, to how we deliver and finance cars. The pipelines, models, and infrastructure you build will be the foundation our analysts and data scientists rely on every day, including for our fast-growing financial services work.

Our data engineers don't just move data, they own outcomes. That means working directly with stakeholders to understand what they need, designing systems that scale with the business, and making sure the data behind every important decision is reliable, well-modeled, and easy to use. If you see a broken pipeline or a question the data can't answer yet and feel compelled to fix it, you'll thrive at Clutch.

Technology at Clutch

We believe great engineers can learn great technology.

Our data team builds with technologies like Snowflake, dbt, Airflow, Python, and AWS, alongside an application stack of TypeScript, PostgreSQL, and Express. We're far more interested in exceptional engineers than perfect technology matches. If you've built outstanding data platforms in another modern stack and are excited to learn, improve, and help evolve ours, we'd love to talk.

What you'll do

Own Clutch's data platform end-to-end, designing and evolving the architecture behind our warehouse, pipelines, and data models with long-term scalability in mind.
Build reliable, well-tested ELT pipelines that bring together data from our applications, operational systems, and third-party tools.
Design data models in partnership with analysts and data scientists so that trusted, well-structured data is easy to find and use across the business.
Build the data foundations for our financial services work, partnering closely with the data scientist focused on that area to support modeling, experimentation, and analytics.
Own data quality and observability, with monitoring, testing, and alerting that catch issues before stakeholders do.
Apply strong DevOps practices to data, including version control, CI/CD, infrastructure as code, and automated deployments.
Use AI as part of your everyday engineering workflow to prototype, accelerate development, and improve code quality.
Make thoughtful technical decisions that balance speed, cost, quality, and maintainability, and continuously evaluate new tools that help the team move faster.
Establish data standards, documentation, and governance practices as our platform matures.
Mentor others and raise the bar for data engineering across the team through design discussions and code reviews.

What we're looking for

5+ years of experience in data engineering or a closely related field.
Have built and operated production data pipelines and platforms that people rely on.
Advanced SQL and strong programming skills in Python (TypeScript is a plus).
Hands-on experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift.
Experience with transformation and orchestration tools such as dbt and Airflow.
Experience with cloud platforms, ideally AWS, and their data services.
Strong data modeling skills, including designing for analytics use cases.
Experience with DevOps and observability tooling such as Git, GitHub Actions, Docker, Terraform, and Datadog.
Use AI as a force multiplier to explore ideas, prototype solutions, and accelerate development.
Enjoy working directly with stakeholders to understand problems and deliver business value.
Communicate clearly and are comfortable making decisions in ambiguous environments.
Care as much about business outcomes as technical excellence.

Nice to Have

Experience with streaming or event-driven data (e.g., Kafka, Kinesis).
Experience supporting data science or ML workflows in production.
Experience in e-commerce, marketplaces, automotive, or fintech.

Why you'll love it at Clutch

Autonomy & ownership: create your own path and own your work
Competitive compensation and equity incentives
Generous time off program
Health & dental benefits

Employment Type

New, Permanent Full-Time
Hybrid, Downtown Toronto three days a week

Compensation & Benefits

Salary: $160,000 - 200,000
Equity incentives
Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage
Pay reflects skills, performance, market benchmarking, responsibilities, and working conditions

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

Apply About employer

More about this job

Responsibilities

You will own the end-to-end data platform, designing scalable architecture and building reliable ELT pipelines to support business decision-making. Additionally, you will partner with analysts and data scientists to build data models and ensure high data quality through robust observability and DevOps practices.

Requirements

Candidates must have 5+ years of experience in data engineering with strong proficiency in SQL, Python, and modern cloud data warehouses like Snowflake. You should also have hands-on experience with transformation tools like dbt and orchestration tools like Airflow, along with a solid understanding of DevOps practices.

Skills

Data engineering
SQL
Python
Snowflake
dbt
Airflow
AWS
Data modeling
DevOps
CI/CD
Infrastructure as code
Data observability
TypeScript
PostgreSQL
Docker
Terraform

Benefits

Equity incentives
Health benefits
Dental benefits
Vision coverage
Prescription coverage
Life insurance
Dependent coverage
Generous time off program

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
dbt
Airflow
Python
AWS
TypeScript
PostgreSQL
Express
ELT
Data Modeling
DevOps
CI/CD
Infrastructure as Code
Git
GitHub Actions
Docker
Terraform
Datadog
Data Observability
Financial Services
E-commerce
Marketplaces
Automotive
Fintech
AI
Data Warehouse
Analytics
Data Science
Scalability

Report this job