Data engineer jobs in Mississauga, ON and nearby

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

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 406
Employers: 202

Advertised starting pay

Average starting payCAD / year: $100,676Across 29 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: 44%177 listings
On-site: 55%225 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 Mississauga, ON and nearby

Within 25 km

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Added 8 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 8 days ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Toronto, ON
- Contract
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 8 days ago
VT
Senior Data Engineer (Databricks) - Finance Data Modeling
Vision Talent Co.
Toronto, ON
- Contract
Senior Data Engineer - Databricks & Finance Data
Added 8 days ago
CS
Data Engineer – Azure Databricks / Data Modeling
Confiar Services
Toronto, ON
- Contract
Data Engineer – Azure Databricks / Data Modeling / Data Lineage
Added 8 days ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Next Pathway is seeking an experienced Snowflake Data Engineer with experience leading a team, to support a major enterprise client that is building a new cloud data platform on Snowflake.
Added 8 days ago
O
Data Engineer | Data & AI Technology
Obsidi®
Toronto, ON
- Full-time
The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization. This organization drives data enabled decision making, AI innovation, and technology…
Added 8 days ago
RB
Data Engineer, RBC Amplify 2027, Toronto
Royal Bank of Canada
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 8 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 8 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 8 days ago
AI
Senior AWS Data Engineer(Infrastructure ,AWS CDK)
Apptoza Inc.
Toronto, ON
- Contract
Role: Senior AWS Data Engineer(Infrastructure ,AWS CDK)
Added 8 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 8 days ago
TC
Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 8 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $85 to $89 CAD / hour
- Contract
Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.
Added 8 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 8 days ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.
Added 9 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 9 days ago
TC
Sr. IFRS17 Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 10 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 11 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 11 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 11 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 11 days ago
V
AWS Data Engineer
Virtusa
Toronto, ON
- Full-time
Added 11 days ago
SL
Data Engineer – Banking / Financial Domain
Staffingine LLC
Toronto, ON
- Contract
Job Title: Data Engineer – Banking / Financial Domain
Added 11 days ago
A
AI Cloud Data Engineer
Altera
Toronto, ON
- Full-time
Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into…
Added 11 days ago
AI
Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Apptoza Inc.
Toronto, ON
- Contract
Role: Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)

Swoon

Intermediate Data Engineer

Toronto, ON, Canada

$80 to $90 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $80 to $90 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Experience: Approximately 4+ years of experience in data engineering, data integration, or a related technical role.
Posting language: English
Posted: Oct 26, 2026

Original job description

Location: Toronto, ON

Work model: 4 days onsite

Type: Contract

Duration: 12 months

Rate: 80-90/HR INC

About the Opportunity

We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.

In this role, you will build, maintain, and enhance data pipelines that support analytics, machine learning, and AI applications. You will work with data scientists, technology teams, and business stakeholders to connect data sources, improve data quality, and enable reliable delivery of data to analytical models and downstream systems.

The ideal candidate is a hands-on engineer who can work through complex technical challenges, understand business requirements, and translate them into practical, scalable solutions.

Key Responsibilities

Design, develop, and maintain data pipelines that support analytics, machine learning, and AI applications.
Build and optimize data integrations, transformations, and preprocessing workflows across multiple source systems.
Develop and maintain solutions using Python, SQL, and cloud-based data engineering tools.
Support the deployment, integration, monitoring, and ongoing improvement of machine learning models and associated pipelines.
Contribute to the migration and modernization of data processes and platforms into cloud-based environments.
Prepare and structure data for predictive models, advanced analytics, and AI applications, including large language model use cases.
Troubleshoot pipeline issues, improve data reliability, and identify opportunities to enhance performance and efficiency.
Collaborate with data scientists, developers, and business stakeholders to understand requirements and deliver effective technical solutions.
Translate business needs into clear technical requirements and actionable development plans.
Document processes, technical solutions, and data workflows to support maintainability and knowledge sharing.

Required Qualifications

Approximately 4+ years of experience in data engineering, data integration, or a related technical role.
Strong programming experience with Python.
Hands-on experience with SQL and data transformation.
Experience with cloud-based data platforms and services; AWS is preferred.
Familiarity with PySpark or other distributed data processing technologies.
Experience building and maintaining data pipelines for analytics, machine learning, or AI applications.
Understanding of machine learning operations, including model deployment, integration, monitoring, or production support.
Experience working with multiple data sources and transforming complex datasets into usable formats.
Strong analytical and problem-solving skills, with the ability to break complex requirements into manageable steps.
Excellent communication skills and the ability to collaborate across technical and business teams.

Nice to Have

Experience with SAS or supporting the migration of legacy data processes to Python.
Exposure to machine learning platforms, AI integrations, or large language model workflows.
Experience in financial services or another complex, regulated environment.
Familiarity with data governance, data quality, and production data management practices.

What Makes You a Great Fit

You are a practical, solutions-oriented engineer who enjoys building reliable data solutions and improving existing processes. You can understand a system’s current state, identify the desired outcome, and develop a logical plan to get there.

You are comfortable working with technical and non-technical stakeholders, asking the right questions, and explaining complex concepts clearly. You bring technical depth, business awareness, and a willingness to learn and contribute within a collaborative team.

Apply About employer

More about this job

Responsibilities

Design, build, maintain, and optimize data pipelines and integrations for analytics, machine learning, and AI applications, including cloud migration and data preparation for predictive models and large language model use cases. Support machine learning model deployment and monitoring, troubleshoot pipeline issues, document solutions, and collaborate with technical teams and business stakeholders to translate requirements into scalable solutions.

Requirements

Requires approximately 4 or more years of relevant experience, strong Python and SQL skills, and hands-on experience with cloud data platforms, data transformations, and analytics or machine learning pipelines. Candidates should understand machine learning operations and distributed processing, with AWS preferred; SAS, legacy process migration, regulated-industry experience, and data governance are advantageous.

Skills

Python
SQL
Data Engineering
Data Pipelines
Data Integration
Data Transformation
AWS
Cloud Data Platforms
PySpark
Distributed Data Processing
Machine Learning Operations
Model Deployment
Data Quality
Data Governance
Large Language Models
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
AWS
PySpark
Data Engineering
Data Pipelines
Data Integration
Data Transformation
Cloud Computing
Machine Learning Operations
Machine Learning
Artificial Intelligence
Large Language Models
Predictive Modeling
Advanced Analytics
Distributed Data Processing
Model Deployment
Model Monitoring
Data Quality
Data Governance
Data Migration
Legacy Systems
SAS
Production Data Management
Financial Services
Stakeholder Collaboration

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