IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 30, 2026

Hiring at a glance

View jobs

Open jobs: 2,585
Employers: 1,308

Advertised starting pay

Average starting payCAD / year: $98,486Across 254 listings
Average starting payCAD / hour: $53.48Across 87 listings
Average starting payUSD / year: $118,002Across 52 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 39%1,020 listings
On-site: 55%1,420 listings

Not specified: 1% (15 listings)

Employers hiring include TD (47), J&M Group (38), Amazon (37).

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

IT & data jobs in Canada

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Added 2 months ago
Senior Data Scientist (Applied AI & Analytics)
International Test Pilots School
London, ON
Full-time
Job Title: Senior Data Scientist (Applied AI & Analytics)
Added 1 month ago
Sr. Data Analyst
Felix
Remote, Canada
$85,000 to $115,000 USD / year
Full-time · Remote
As a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes…
Added 1 month ago
Business Systems Manager
Jetstream of Houston
Innisfil, ON
Full-time
The Business Systems Manager leads the organization’s business systems strategy, data analytics, reporting, and process optimization. They partner with leaders to improve systems,…
Added 26 days ago
Data Engineer
Capgemini
Mississauga, ON
Added 1 month ago
Senior Data Engineer
Talents LGS
Montreal, QC
Added 2 months ago
Analyste des données commerciales et digitales / Business and Online Data Analyst
Club Med
Montreal, QC
Full-time
Added 2 months ago
Database Administrator ( DB2/SQL)
Highspring
Montreal, QC
Contract
Added 2 months ago
Senior Data Engineer
BrainStation
Toronto, Ontario
$120,000 to $145,000 USD / year
Full-time
Added 2 months ago
Data Engineer
BrainStation
Toronto, Ontario
$90,000 to $125,000 USD / year
Full-time
Added 2 months ago
Business System Analyst
Kumaran Systems
Toronto, Ontario
Full-time
…in trade order management, trade execution workflows, market data integration, order amendments/cancellations, settlement processes, and regulatory compliance. Strong understanding of…
Added 2 months ago
Data Engineer
Princeton IT Services, Inc
Toronto, Ontario
Full-time
We are building a modern data platform centered on Snowflake and are seeking a Snowflake-focused Data Engineer to design, build, and operationalize Snowflake-native solutions. This role…
Added 1 month ago
Data Engineer
Financeit
Remote, Canada
Full-time · Remote
Added 1 month ago
BA and QA Tester (12 month contract)
CIRO / OCRI
Toronto, ON
Full-time
Added 3 months ago
Sr Data Engineer -
iLink Digital
ON · East Toronto (Studio District), Ontario
Full-time
AI/ML experience to design, build, and optimize scalable data and machine
Added 26 days ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Added 26 days ago
Data Engineer
Lyft
Toronto, ON
Added 1 month ago
Data Scientist
Meridian Credit Union
Toronto, ON
Full-time
Added 29 days ago
Senior Associate/Cybersecurity Consultant Due Diligence Advisory (Forensic Services practice)
Charles River Associates
Toronto, ON
Added 2 months ago
Technical Project Manager
Onterris
Grande Prairie, Alberta
Full-time
Added 2 months ago
Software Engineering Manager
Thornhill Medical
Toronto, Ontario
Full-time
Added 2 months ago
Senior Systems Administrator
Zone IT Solutions
Sydney Mines, Nova Scotia
$124,000 to $150,000 AUD / year
Contract
Added 2 months ago
Business Process Analyst
Bombardier
Montreal, Quebec
Full-time
Added 2 months ago
Technical Support Analyst - French speaking
Acturis Limited
Victoria, British Columbia
Full-time
Added 1 month ago
System Administrator – Infrastructure
IT UNLOCK CONSULTING INC.
Montréal-Est, QC · Montreal, Quebec
Full-time
Added 1 month ago
Associate Director, Trade Data Engineer - COO Group
Royal Bank of Canada
Halifax, NS · Toronto, ON
Full-time
Build scalable trade data platforms. This role is part of RBC Capital Markets Data Strategy & Execution and is responsible for delivering trusted, governed, AI-ready data capabilities.

Lyft

Data Engineer

Toronto, ON, Canada

Experience: 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
Posting language: English
Posted: Sep 4, 2026

Apply About employer

Applications open in a new tab.

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection.

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.

Responsibilities:

Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
Evolve data model and data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
SQL and MapReduce job tuning to improve data processing performance
Write well-crafted, well-tested, readable, maintainable code
Participate in code reviews to ensure code quality and distribute knowledge
Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
Solid understanding of ETL processes, workflow orchestration, and data warehousing
A collaborative mindset - you’re comfortable working across teams to solve real-world problems

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Apply About employer

More about this job

Responsibilities

The Data Engineer will own the core data modeling and pipelines that power the Safety and Customer Care platform. They will collaborate cross-functionally to scale data processing, ensure data quality, and develop tools for self-service pipeline management.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 4 years of professional experience in data engineering. Proficiency in Spark, Python, SQL, and experience with distributed systems and ETL processes are required.

Skills

Data engineering
Data modeling
Data pipelines
Spark
Python
SQL
AWS
Hadoop
S3
Hive
Presto
Airflow
ETL
Data warehousing
Distributed systems
Performance tuning

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Modeling
Data Pipelines
Spark
Python
SQL
AWS
Hadoop
S3
Hive
Presto
Airflow
ETL
Data Warehousing
Distributed Systems
Performance Tuning
Data Quality
Analytics
Data Science
Infrastructure
Software Engineering
MapReduce
Scripting
Workflow Orchestration
Business Intelligence

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