IT & data jobs in Canada

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

Counted Sep 28, 2026

Hiring at a glance

View jobs

Open jobs: 2,622
Employers: 1,303

Advertised starting pay

Average starting payCAD / year: $98,575Across 255 listings
Average starting payCAD / hour: $50.01Across 83 listings
Average starting payUSD / year: $117,285Across 53 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 39%1,016 listings
On-site: 56%1,462 listings

Not specified: 1% (15 listings)

Employers hiring include RBC (49), Royal Bank of Canada (44), TD (42).

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 11 mins ago
database analyst (DBA)
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Mississauga, ON
Full-time
Collect data to identify areas for improvement within an organization’s IT infrastructure
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Spécialiste apprentissage machine/Machine Learning Specialist - Device Analytics
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Full-time
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Data Scientist, Product Analytics - Entry Level
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Canada
Full-time
…accelerating your route to the best job outcomes. The Entry-Level Data Scientist will use statistical analysis and experimentation to improve product decisions, study user behavior, and…
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Data Scientist, Early Career (Canada)
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Full-time
…its innovative technologies. They are seeking an Early Career Data Scientist to develop predictive models, optimize AI performance, and analyze user data to enhance product…
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ERP & Data Analyst (on-site)
A.C. Americas
Mississauga, ON
$65,000 to $75,000 CAD / year
Full-time
The ERP & Data Analyst keeps our Acumatica ERP running smoothly day to day and turns ERP data into clear, reliable reporting for the business. You'll be the first point of contact for ERP…
Added 11 mins ago
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Toronto, ON
Contract
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Montreal, QC
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$26 CAD / hour
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Data Scientist, Credit Risk Quantification
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Montreal, QC · Complexe Desjardins Montréal
Full-time
The Data Valorization Department is responsible for developing, monitoring and maintaining our credit risk models so that we can offer innovative financing products to our members and…
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Senior Data Engineer – Python
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Mississauga, ON
Full-time
We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable…
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Data Engineer
InfoFarm
Engineer, BC
Full-time
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Senior Finance Process & Systems Analyst (Manufacturing Accounting)
Cavendish Farms
Dieppe, NB
Full-time
Added 1 hour ago
Technical Business Systems Analyst - API Integrations
BeachHead
Toronto, ON
$70 to $74 CAD / hour
Contract

Confiar Services

MongoDB Data Modeler

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Title: MongoDB Data Modeler / Data Engineer

Location: Toronto, Canada

Job Description

We are seeking an experienced MongoDB Data Modeler / Data Engineer with strong expertise in MongoDB, JSON schema design, PySpark, SQL, and Azure Data Platforms to support enterprise data ingestion, modeling, and analytics initiatives.

Key Responsibilities

Design, develop, and maintain MongoDB data models, JSON schemas, and schema governance frameworks.
Lead schema evolution, versioning, migration, indexing, and performance optimization activities.
Develop scalable ETL/ELT pipelines using PySpark, Spark SQL, and SQL.
Build and support cloud-based data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Synapse Analytics.
Design and optimize data ingestion, transformation, and orchestration workflows.
Ensure data quality, lineage, scalability, performance, and governance across enterprise data platforms.
Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver data solutions.
Create technical documentation, data models, and implementation standards.

Required Skills

5+ years of experience in MongoDB data modeling and JSON schema design.
Strong hands-on experience with MongoDB, including schema design and performance optimization.
Advanced proficiency in SQL, PySpark, and Spark SQL.
Experience building data ingestion, ETL/ELT, and cloud data pipelines.
2+ years of experience with Azure Cloud, including:
Azure Databricks
Azure Data Factory (ADF)
Azure Synapse Analytics
Strong understanding of data architecture, data governance, and data quality practices.
Excellent analytical, communication, and problem-solving skills.

Preferred Skills

Experience with MongoDB Atlas on Azure.
Knowledge of Kafka, Confluent, and Schema Registry.
Expertise in MongoDB indexing, sharding, and performance tuning.
Experience in Payments domain and ISO 20022 standards.

Apply About employer

More about this job

Responsibilities

Design and govern MongoDB data models and JSON schemas, including schema evolution, migrations, indexing, and performance optimization. Build and support scalable Azure-based data ingestion and ETL/ELT workflows, ensuring data quality, lineage, governance, and performance while collaborating with stakeholders and documenting implementation standards.

Requirements

Requires at least five years of MongoDB data modeling and JSON schema design experience, advanced SQL, PySpark, and Spark SQL skills, and experience building data pipelines. Also requires at least two years of Azure Cloud experience with Databricks, Data Factory, and Synapse, alongside strong knowledge of data architecture, governance, and quality practices.

Skills

MongoDB Data Modeling
JSON Schema Design
MongoDB Performance Optimization
SQL
PySpark
Spark SQL
Azure Databricks
Azure Data Factory
Azure Synapse Analytics
ETL/ELT Pipelines
Data Ingestion
Data Governance
Data Quality
Schema Evolution
Data Architecture
MongoDB Indexing

Visa sponsorship

Not detected in the job text

Keywords

MongoDB
MongoDB Atlas
JSON Schema
PySpark
SQL
Spark SQL
Azure Cloud
Azure Databricks
Azure Data Factory
Azure Synapse Analytics
ETL/ELT
Data Ingestion
Data Modeling
Schema Governance
Schema Evolution
Schema Versioning
Data Migration
Indexing
Sharding
Performance Tuning
Data Architecture
Data Governance
Data Quality
Data Lineage
Kafka
Confluent
Schema Registry
Payments
ISO 20022
Cloud Data Pipelines

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