IT & data jobs in Canada

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

Counted Oct 2, 2026

Hiring at a glance

View jobs

Open jobs: 2,574
Employers: 1,323

Advertised starting pay

Average starting payCAD / year: $97,519Across 254 listings
Average starting payCAD / hour: $49.92Across 81 listings
Average starting payUSD / year: $117,906Across 52 listings

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

Where work happens

Remote: 5%131 listings
Hybrid: 39%1,016 listings
On-site: 55%1,418 listings

Not specified: <1% (9 listings)

Employers hiring include TD (41), J&M Group (39), Amazon (35).

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 28 days ago
VR
Senior Data Modeler - 6 Month Contract
Venterra Realty
Richmond Hill, ON
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 28 days ago
GF
Senior Data Analyst
Greenstone Financial Services Canada
Toronto, ON · North York, ON
- $80,000 to $100,000 CAD / year
- Full-time
We are seeking a highly analytical and business-focused Senior Data Analyst to support data-driven decision-making across our Life Insurance operations. Reporting to the Head of Lead…
Added 28 days ago
CI
Data Analyst
Citylitics Inc.
Toronto, ON
- $65,000 to $80,000 CAD / year
- Full-time
Added 25 days ago
CO
Intern, Data Scientist - Winter 2027
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Data Scientist - Winter 2027
Added 25 days ago
CO
Associate, Data Analyst - New Grad, 2027 Start
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Analyst - New Grad, 2027 Start
Added 1 month ago
TR
Data Scientist III
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Added 24 days ago
Data Engineer (Hybrid)
First West
Langley (District), BC · Langley, BC
We are currently seeking a Data Engineer to join our team.
Added 25 days ago
R
Associate - Quantitative Analyst
RBC
Toronto, ON
- Full-time
Added 25 days ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
Added 29 days ago
P&
Stage - Hiver 2027 - Analyste de données, Services de pièces de rechange / Internship - Winter 2027 - Data Analyst, Spare Parts Services
Pratt & Whitney
Longueuil, QC
- Full-time
Added 29 days ago
E
System Administrator
Eastlink
Halifax, NS
- Full-time
Added 29 days ago
GS
Cybersecurity Consultant II
GLI Secure
Moncton, NB
- Full-time
Added 29 days ago
QP
Senior Cyber Security Analyst
QuadReal Property Group
Vancouver, BC
- Full-time
Added 25 days ago
Senior Parks Data Analyst
Government of Alberta
Edmonton, AB
Added 24 days ago
Administrateur·rice de bases de données/ Database Administrator (Cloud)
TouchTunes
Montreal, QC
Added 25 days ago
O
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 25 days ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 29 days ago
W
L2 IT Support - NETE
Weir
Montreal, QC
- Full-time
Added 29 days ago
T
Technical Project Manager
Tesla
Markham, ON
- Full-time
Added 29 days ago
D
Help Desk Technician (French/English)
Delpath
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 29 days ago
AS
Associate Customer Success Data Analyst
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
We're looking for an Associate Data Analyst to join our team. In this role, you'll be the primary data resource for our Enterprise Customer Success Management team - fielding incoming data…
Added 29 days ago
SS
Telephone and Nurse Call System Administrator
Sienna Senior Living
Markham, ON
- Full-time
Added 25 days ago
RB
Associate - Quantitative Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Added 24 days ago
IT Support Intern (Winter/January 2027, 8 Months)
Internship List
Waterloo, ON
Added 25 days ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON · Montreal, QC
- Full-time

Punt

Associate Data Engineer

Vancouver, BC, Canada

$70,000 to $90,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $70,000 to $90,000 CAD / year
Job type: Full-time
Apply by: Oct 4, 2026
Experience: Experience: 0–2 years of professional experience in data engineering, analytics engineering, or backend engineering (internships and co-ops included).
Posting language: English
Posted: Sep 4, 2026

Original job description

ABOUT THE COMPANY

Punt is a Vancouver-based, founder-led technology company behind two of the largest social casinos in North America. We’re evolving into a prediction-led super app - integrating prediction markets, social gaming, and new product surfaces into a single, cohesive experience. Our backend already operates at scale, processing high-volume, real-money transactions. We’re building toward a new category: the most advanced and engaging social gaming platform in the world.

ROLE OVERVIEW

We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will support our cloud data infrastructure by ingesting high-volume transactional datasets, writing production transformations, and ensuring data accuracy for business-critical applications.

We embrace modern engineering workflows, including AI-assisted development (e.g., Copilot, Cursor, LLMs). We are looking for early-career candidates who actively leverage AI tools to accelerate output, automate routine tasks, and learn faster - while maintaining the critical thinking required to review, debug, and take full ownership of the code they deploy.

Above all, we value strong SQL fundamentals, working Python proficiency, and the instinct to double-check your output for correctness before someone else has to.

RESPONSIBILITIES

Pipeline & Model Development: Build and maintain dbt models, write clean transformations, establish data testing suites, and adhere to established modeling conventions using modern, AI-assisted development tools.
Data Ingestion & Integration: Develop and operate robust extract/load (ELT) pipelines in Python to ingest data from relational databases, APIs, and event streams.
Platform Evolution & Support: Assist in maintaining and upgrading cloud data platform infrastructure, including data reconciliation, schema migrations, and metric validation across storage layers.
Data Quality & Monitoring: Implement freshness, volume, and anomaly checks to catch edge cases and prevent stale or corrupted data from reaching stakeholders.
Incident Response & Debugging: Investigate pipeline failures, analyze error logs, identify root causes, and ship fixes or provide detailed handoffs.
Cross-Functional Collaboration: Partner with analysts and product teams to translate ad-hoc data requests into scalable, reusable modeled datasets.
Modern Engineering Practices: Actively incorporate modern AI coding assistants into your daily workflow to write boilerplate code, draft documentation, and generate unit tests efficiently.

WHAT YOU BRING

Experience: 0–2 years of professional experience in data engineering, analytics engineering, or backend engineering (internships and co-ops included).
AI-Forward Mindset: Openness and enthusiasm for using AI development tools (e.g., GitHub Copilot, Claude, Cursor) to speed up execution, learn new technologies, and improve code quality.
SQL Proficiency: Strong knowledge of joins, aggregations, window functions, and query optimization logic.
Python Skills: Practical experience writing Python scripts for data manipulation, API integration, and automated task execution with proper error handling.
Data Modeling Fundamentals: Core understanding of analytical data modeling (dimensional modeling, grain, incremental loading vs. full reloads).
Engineering Best Practices: Familiarity with Git workflows (branches, pull requests, code reviews) and clear technical documentation.
Data Quality Instincts: A habits-first approach to validating query outputs and pipeline results prior to deployment.
Bachelor's degree in Computer Science, Engineering, Statistics, or a related discipline, or equivalent practical experience.

NICE TO HAVE

Exposure to dbt or another transformation framework.
Exposure to a cloud data warehouse or lakehouse - Databricks, Snowflake, Redshift, or BigQuery.
Exposure to a workflow orchestrator (Airflow, Prefect, Dagster, Databricks Workflows) or to scheduled jobs in any form.
Exposure to AWS or another cloud platform.
A personal, academic, or internship project where you built a pipeline end to end and can explain the choices you made.
Interest in gaming, fintech, payments, or another high-volume transactional domain.

WHY JOIN PUNT?

Help scale a fast-growing social gaming platform with real technical and product impact.
Work on high-throughput backend systems where performance, reliability, security, and operational excellence matter.
Join a collaborative engineering team that values strong technical judgment, ownership, and pragmatic architecture.
Use modern engineering practices, including AI-assisted development, automation, observability, and cloud-native infrastructure.
Influence backend architecture, platform standards, and the technical direction of a growing engineering organization.
Work in a high-growth environment with opportunities for learning, ownership, and leadership.
Competitive compensation and a comprehensive benefits package.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain core data pipelines and analytics models using dbt and Python. Ensure data accuracy and quality through the implementation of monitoring, testing suites, and incident response.

Requirements

Requires 0-2 years of experience in data or backend engineering and a bachelor's degree in a technical field. Candidates must be proficient in SQL and Python with a strong mindset toward using AI development tools.

Skills

Sql
Python
Dbt
Data Modeling
Git
ELT Pipelines
Data Ingestion
Cloud Data Warehousing
API Integration
Data Quality Monitoring
AI-Assisted Development
Dimensional Modeling

Benefits

Competitive Compensation

Visa sponsorship

Not detected in the job text

Keywords

Sql
Python
Dbt
Databricks
Snowflake
Redshift
BigQuery
Airflow
Prefect
Dagster
Aws
GitHub Copilot
Cursor
Claude
ELT
Dimensional Modeling
Git
Data Engineering
Social Gaming
Fintech
Cloud Infrastructure
Data Pipelines
Schema Migrations
Unit Testing
Data Reconciliation

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