IT & data jobs in Canada

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

Counted Oct 25, 2026

Hiring at a glance

View jobs

Open jobs: 3,876
Employers: 1,810

Advertised starting pay

Average starting payCAD / year: $96,518Across 348 listings
Average starting payCAD / hour: $48.03Across 254 listings
Average starting payUSD / year: $122,129Across 57 listings
Average starting payUSD / hour: $45.33Across 15 listings

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

Where work happens

Remote: 5%176 listings
Hybrid: 38%1,485 listings
On-site: 57%2,203 listings

Not specified: <1% (12 listings)

Employers hiring include TD (67), J&M Group (45), Capgemini (41).

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 10 days ago
Digital Data Analytics Manager
Rogers Communications
Toronto, ON
Added 10 days ago
Senior Data Analyst
Rogers Communications
Toronto, ON · Brampton, ON
Added 10 days ago
Senior Data Engineer - MarTech AdTech
Capgemini
Mississauga, ON
Added 10 days ago
R
IT Support Analyst (Intune/Windows) - short term
Resonaite
Toronto, ON
- Contract
Added 10 days ago
SE
BI Developer and Data Analyst/Analyste de données et développeur BI
Siemens Energy
Montreal, QC
- Full-time
As a Data Analytics & BI Developer Employee within Siemens Energy's Montreal Digitalization team, you will turn complex manufacturing, engineering, and business data into scalable analytics…
Added 10 days ago
AI
Bilingual IT Support Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mirabel, QC
- Full-time
Added 10 days ago
D
Ratemaking SAS Data Analyst
Desjardins
Montreal, QC · Quebec, QC · Levis, QC
- Full-time
If you’re passionate about data, analytics and problem-solving, this position allows you to play a key role in the development of property and casualty insurance ratemaking. You contribute…
Added 10 days ago
TC
Big Data Developer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
We are looking for an experienced Big Data Engineer with strong expertise in PySpark and Python to design, develop, and optimize scalable data processing solutions. The ideal candidate will…
Added 10 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics…
Added 10 days ago
P
Procurement & Supply Chain Analyst / Supply Chain Data Analyst (PSCA003)
Potenco
Canada
- Full-time
Procurement & Supply Chain Analyst / Supply Chain Data Analyst
Added 10 days ago
SI
Data Scientist
Spait Infotech
Canada
- Full-time
Collect, clean, preprocess, and analyze structured and unstructured data.
Added 10 days ago
BH
Staff/Lead Application Security Engineer
Beacon Holdings
Toronto, ON
- Full-time
Added 10 days ago
CS
Data Modeler – Cloud/Azure
Confiar Services
Toronto, ON
- Contract
We are looking for an experienced Data Modeler to support cloud and data modernization initiatives. The ideal candidate will have strong hands-on experience in data modeling, SQL, Azure…
Added 10 days ago
PG
Big data Engineer
Pacer Group
Mississauga, ON
- Full-time
8+ years of exp. in developing and maintaining scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
Added 10 days ago
EC
Azure Data Engineer
Experis Canada
Toronto, ON
- Contract
Expert working knowledge of Unity Catalog and data governance setup/configuration
Added 10 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 10 days ago
G
Software Engineering Manager
Glocomms
Vancouver, BC
- $165,000 CAD / year
- Full-time
Added 10 days ago
D-
DBA Oracle/PostgreSQL
DELAN - IT Talent Solutions
Ottawa, ON
- Full-time
Added 10 days ago
M
Application Support Analyst
Mindlance
Montreal, QC
- $40 to $65 CAD / hour
- Contract
Added 10 days ago
IG
Application Support Analyst
Infotree Global Solutions
Montreal, QC
- Contract
Added 10 days ago
R
Data Scientist, Global AML Transaction Monitoring
RBC
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…
Added 10 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 10 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Added 10 days ago
SL
Business Systems Consultant, Technical Change, Release Governance & Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Added 10 days ago
A
Software Engineering Manager, Global Developer Relations
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time

TechNeptune Consulting Inc.

Big Data Developer

Mississauga, ON, Canada

Salary : CAD 120K + Benefits · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary : CAD 120K + Benefits
Job type: Full-time
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 14, 2026

Original job description

Role : Big Data Engineer (PySpark & Python)

Location: Mississauga, ON, Canada

Job Type: FTE

Salary : CAD 120K + Benefits

Job Summary

We are looking for an experienced Big Data Engineer with strong expertise in PySpark and Python to design, develop, and optimize scalable data processing solutions. The ideal candidate will have experience working with large datasets, building robust ETL/ELT pipelines, and supporting data integration and transformation initiatives in a cloud or big data environment.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using PySpark and Python.

Build and optimize ETL/ELT workflows to process large volumes of structured and unstructured data.

Perform data cleansing, transformation, aggregation, and validation.

Develop efficient Spark jobs and troubleshoot performance and scalability issues.

Work with SQL, relational databases, and data warehouses to support analytics and reporting.

Implement data quality checks, monitoring, and error-handling mechanisms.

Collaborate with data engineers, architects, analysts, and business stakeholders to deliver data solutions.

Follow best practices for coding standards, documentation, testing, and data security.

Support cloud-based big data platforms and CI/CD processes where applicable.

Required Skills

Strong hands-on experience with Python and PySpark.

Solid understanding of Apache Spark, distributed computing, and big data processing.

Proficiency in SQL and experience with complex queries.

Experience developing ETL/ELT pipelines and data integration solutions.

Knowledge of data modeling, data warehousing, and data lake concepts.

Experience with performance tuning, debugging, and data quality management.

Familiarity with Git, unit testing, and Agile development methodologies.

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or GCP.

Exposure to Databricks, Delta Lake, Apache Kafka, or Hadoop.

Experience with orchestration tools such as Airflow or Azure Data Factory.

Knowledge of CI/CD pipelines and automated deployment practices.

Education & Experience

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

5+ years of experience in data engineering or big data development, with strong hands-on expertise in PySpark and Python.

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark and Python to process large structured and unstructured datasets. Perform data transformation and validation, troubleshoot Spark performance, implement data quality and monitoring controls, and collaborate with technical and business stakeholders.

Requirements

Requires a bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, and 5+ years of data engineering or big data development experience. Candidates should have strong hands-on Python and PySpark expertise, knowledge of Spark and distributed computing, proficiency in SQL, and experience with data pipelines, data warehousing, performance tuning, and data quality.

Skills

Python
PySpark
Apache Spark
Distributed Computing
SQL
ETL/ELT Pipelines
Data Integration
Data Modeling
Data Warehousing
Data Lakes
Performance Tuning
Data Quality Management
Git
Unit Testing
Agile Development
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

Big Data Engineering
Python
PySpark
Apache Spark
Distributed Computing
SQL
ETL/ELT
Data Pipelines
Data Integration
Data Transformation
Data Cleansing
Data Validation
Data Quality
Data Modeling
Data Warehousing
Data Lakes
Performance Tuning
Git
Unit Testing
Agile
AWS
Azure
GCP
Databricks
Delta Lake
Apache Kafka
Hadoop
Airflow
Azure Data Factory
CI/CD

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