Data engineer jobs in Toronto, ON and nearby

Data engineer jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 427
Employers: 217

Advertised starting pay

Average starting payCAD / year: $99,363Across 32 listings
Average starting payCAD / hour: $63.50Across 24 listings
Average starting payUSD / year: $109,286Across 14 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 43%184 listings
On-site: 56%239 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (11).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Toronto, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 18 days ago
A
Data Engineer Snowflake
Augmented
Toronto, ON
- Full-time
Augmented is hiring a Data Engineer to build and scale a Snowflake data platform for one of our large enterprise clients in a regulated industry. You will design reliable ingestion and…
Added 18 days ago
A
Data Engineer Lakehouse
Augmented
Toronto, ON
- Full-time
Augmented is hiring a Data Engineer to build and run a modern lakehouse platform for one of our large enterprise clients in a regulated industry. You will design reliable batch and…
Added 18 days ago
2I
Senior DataOps / Cloud Data Engineer
2iSolutions Inc.
Toronto, ON
- Contract
Our Toronto-based client is hiring a Senior DataOps / Cloud Data Engineer for a 6-month onsite contract opportunity.
Added 18 days ago
ZS
Sr. IFRS17 Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Demonstrated knowledge of IFRS17, data analysis, and the insurance domain.
Added 18 days ago
M
RQ11486 - DataOps/Cloud Data Engineer - Senior
Maarut
Toronto, ON
- Contract
Designing and developing data pipelines from source to end
Added 18 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Added 18 days ago
CS
Data Engineer – Azure Databricks / Data Modeling
Confiar Services
Toronto, ON
- Contract
Data Engineer – Azure Databricks / Data Modeling / Data Lineage
Added 18 days ago
TI
Senior DataOps / Cloud Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
The client is seeking a highly experienced Senior DataOps / Cloud Data Engineer to design, develop, automate, optimize, and maintain enterprise-scale data pipelines and cloud-based data…
Added 18 days ago
B
DataOps/Cloud Data Engineer - Senior (ETL/Databricks experience)
Bevertec
Toronto, ON
- Contract
Job Role: DataOps/Cloud Data Engineer - Senior (ETL/Databricks experience)
Added 18 days ago
LI
Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
Livingston moves goods across a complex, high-velocity supply chain, and data is at the heart of how we plan, route, and optimize that movement. We're looking for a Senior Data Engineer to…
Added 19 days ago
MC
Senior Data Engineer Azure Data Factory Developer (35968)
Myticas Consulting
Toronto, ON
- Contract
Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure…
Added 19 days ago
Q
Senior Data Engineer
Quantiphi
Toronto, ON
- Contract
Added 19 days ago
J
Senior Data Engineer
JLL
Toronto, ON
- Full-time
Added 19 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 19 days ago
A
Senior Data Engineer
Autodesk
Toronto, ON
- Full-time
Autodesk is looking for a skilled and innovative Senior Data Engineer to join our Compliance team, which builds data-driven systems to detect and address non-compliant usage of Autodesk…
Added 19 days ago
Lead Data Engineer
Scotiabank
Toronto, ON
The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The…
Added 19 days ago
Senior Data Engineer - MarTech AdTech
Capgemini
Mississauga, ON
Added 19 days ago
EC
Azure Data Engineer
Experis Canada
Toronto, ON
- Contract
Expert working knowledge of Unity Catalog and data governance setup/configuration
Added 19 days ago
AB
Data Engineer
Ateko, backed by Bell Canada
Toronto, ON
- Contract
5+ years of experience as a Data Engineer developing, optimizing, and maintaining robust ETL/ELT data pipelines.
Added 19 days ago
D
Senior Data Engineer
DNV
Toronto, ON
- Full-time
The Senior Data Engineer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 19 days ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
Added 19 days ago
M
Senior Data Engineer, Retirement Operations
Manulife
Toronto, ON
- Full-time
We are seeking an experienced Senior Data Engineer to support our North American Retirement organization. The role has significant exposure to Senior Leadership and opportunities to…
Added 19 days ago
E
Senior Data Engineer
emergiTEL
Toronto, ON
- Contract
emergiTEL is hiring a Sr. Data Engineer - Schematic and Reporting Focus. This role is available as contract or perm both.
Added 19 days ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 19 days ago
CS
Data Engineer
Confiar Services
Toronto, ON
- $55 to $60 USD / hour
- Contract
Data Engineer – Azure Databricks & Data Lineage

Clutch Technologies Inc.

Senior Data Engineer

Toronto, ON, Canada

Salary: $160,000 - 200,000

Apply 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: Oct 6, 2026

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 establish data models, ensure data quality, and mentor team members.

Requirements

Candidates must have 5+ years of experience in data engineering with proficiency in Python, SQL, and modern cloud data warehouses like Snowflake. Strong experience with transformation tools like dbt, orchestration tools like Airflow, and DevOps practices is required.

Skills

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

Benefits

Equity incentives
Health benefits
Dental benefits
Vision benefits
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 Pipelines
Data Modeling
DevOps
CI/CD
Infrastructure as Code
Data Observability
Git
GitHub Actions
Docker
Terraform
Datadog
Financial Services
Analytics
Data Science
Machine Learning
E-commerce
Fintech
Scalability
Governance
Data Quality
AI

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