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Added 1 hour ago
Analytics & AI Solutions Lead
Mother Parkers Tea & Coffee
Mississauga, ON
We are one of the largest tea and coffee manufacturers in North America, with a mission to create a better beverage experience for our customers. As a leading customer solutions provider to…
Added 3 hours ago
C
Technical Solution Engineer (Intern), SE&I
Ciena
Ottawa, ON · Montreal, QC
- Full-time
The must haves:
Added 10 hours ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 11 hours ago
RB
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Added 11 hours ago
EL
AI/Machine Learning Experience Engineer
Equinix LLC
Toronto, ON
- Full-time
- Hybrid
Proficiency in JavaScript or TypeScript and a modern front-end framework (e.g., React), and working Python for prototyping with models and APIs
Added 11 hours ago
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Principal AI/ML Engineer
HPE
BC
- Full-time
…career our culture will embrace you. Open up opportunities with…
Added 11 hours ago
HP
Principal AI/ML Engineer
Hewlett Packard Enterprise
BC
- Full-time
…career our culture will embrace you. Open up opportunities with…
Added 11 hours ago
HP
Principal AI/ML Engineer
Hewlett Packard Enterprise
BC
- Full-time
…career our culture will embrace you. Open up opportunities with…
Added 11 hours ago
HP
Principal AI/ML Engineer
Hewlett Packard Enterprise
BC
- Full-time
…career our culture will embrace you. Open up opportunities with…
Added 11 hours ago
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Principal Software Development Engineer
AMD, Inc.
Waterloo, ON
- Full-time
…working across multiple layers of the software stack in both Python and C++. They should be able to communicate effectively and work well with different teams across AMD and with…
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Lead Software Developer
Open Text Corporation
Waterloo, ON
…strong enterprise software development experience in Java, Python, web, and cloud technologies. Critical to this role is balancing software engineering excellence with emerging AI…
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Principal Software Development Engineer
AMD, Inc.
Vancouver, BC
- Full-time
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AI Developer - Senior, 6 months contract
Dimensional Tech Inc.
Toronto, ON
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 11 hours ago
Senior AI & DevOps Engineer – Azure, AWS & Generative AI
Astra North Infoteck Inc.
Calgary, AB
Hands-on scripting skills (Python, Ruby, Perl, etc.).
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Staff Applied AI Engineer - Kalepa for Underwriting
Kalepa
Canada
…long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and…
Added 11 hours ago
RC
Business Analyst Expert - 109666
Randstad Canada
Toronto, ON
- $69.58 to $77.77 CAD / hour
- Contract
Hybrid Work Flexibility: Downtown Toronto office location with a collaborative hybrid schedule (1–2 days per week on-site)
Added 11 hours ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
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…
Added 11 hours ago
OI
Software Engineer
Odaia Intelligence Inc.
Vancouver, BC
- Full-time
Experience building and operating APIs or backend services in Python, TypeScript, or a comparable technology, including integrating third-party APIs with resilient handling of rate limits,…
Added 11 hours ago
CI
Associate AI Scientist , Technology Leadership Advancement Program(TLAP)
Canadian Imperial Bank of Commerce (Canada)
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

Clutch Technologies Inc.

Senior Data Engineer

Toronto, ON, Canada

Salary: $160,000 - 200,000

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: Salary: $160,000 - 200,000
Experience: 5+ years of experience in data engineering or a closely related field.
Posting language: English
Posted: Nov 10, 2026

Original job description

About Clutch

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car buying and selling 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… and that’s just the beginning.

Named one of Canada's top growing Companies two years in a row and also 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 a number of 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 on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The Senior Data Engineer at Clutch Technologies Inc. will own the data warehouse, pipelines and data models that the business relies on for decisions. They will build reliable data pipelines, make data quality monitoring and alerting, and work with stakeholders to deliver useful, trusted data.

Requirements

Candidates need 5+ years of data engineering experience with production pipelines, advanced SQL and strong Python skills. Experience with a cloud data warehouse, dbt and Airflow, AWS, data modeling and DevOps tooling is expected.

Skills

Snowflake
dbt
Airflow
Python
AWS
SQL
TypeScript
PostgreSQL
Express
ELT pipeline development
Data modeling
Data warehousing
Git
GitHub Actions
Docker
Terraform
Datadog
CI/CD
Infrastructure as code
Data quality testing
Data observability
Data governance
Stakeholder communication
Mentoring
Streaming data

Benefits

Equity incentives
Generous time off program
Comprehensive health coverage

Keywords

Senior Data Engineer
data engineering
Snowflake
dbt
Airflow
Python
AWS
SQL
data pipelines
ELT
data modeling
data warehouse
TypeScript
PostgreSQL
Express
Git
GitHub Actions
Docker
Terraform
Datadog

Seniority

Senior

Perks

Generous paid time off
Performance bonus
Stock or equity

Tools

Snowflake
dbt
Airflow
Python
AWS
TypeScript
PostgreSQL
Express
Git
GitHub Actions

Languages

English

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Work requirements

Jobs in Canada