Jobs in Canada

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Added 16 days ago
A
Réception des échantillons (Saint-Hyacinthe, QC)
ANTAGENE
Saint-Hyacinthe, QC · Biovet - St. Hyacinthe
- Full-time
Added 16 days ago
CS
Azure Databricks Architect
Confiar Services
ON · Ontario, Canada
- Contract
Strong understanding of cloud-based data architecture and distributed data processing
Added 16 days ago
M
Full Stack Engineer(React and GO)
Miratech
Canada
- Full-time
Join a team building innovative, cloud-native applications that power next-generation conversational AI and enterprise solutions. As a Full Stack Engineer, you will develop scalable backend…
Added 16 days ago
IS
Sr .Net Developer
Iris Software Inc.
Montreal, QC
- Contract
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Sr .Net Developer for a long term opportunity at Remote.
Added 16 days ago
TC
Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 16 days ago
TI
Database Administrator
Teckhorizon Inc
Toronto, ON
- Contract
…infrastructure, enterprise applications, financial systems, and cloud migration…
Added 16 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 16 days ago
PT
Power BI Developer
Precision Technologies
Mississauga, ON
- Contract
Preferred Skills: PowerShell, REST APIs, OLAP Cube Development, Cloud Data Solutions, Power BI/Snowflake Certifications.
Added 16 days ago
ZS
Power Automate with AI
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Desired Skills (Must Have):
Added 16 days ago
TI
Java Backend Developer
Tekgence Inc
Toronto, ON
- Full-time
Java and Python We are seeking a skilled Backend Developer with 9 to 10 years of experience in designing, developing, and maintaining scalable backend applications. The ideal candidate will…
Added 16 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 16 days ago
Product Manager - AI Platform
Nesto Cloud
Canada
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 16 days ago
Product Manager - AI Platform
Nesto Group(e)
Canada
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 16 days ago
A
Senior Business Analyst
Allshores
Halifax, NS
- Full-time
Develop process models, workflow diagrams, data flow diagrams, wireframes, and mockups using recognized modelling notation to communicate and validate solution design, verifying…
Added 16 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 16 days ago
M
Senior Data Architect
Miratech
Toronto, ON · North York, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 16 days ago
IS
.NET FullStack Developer
Iris Software Inc.
Toronto, ON
- Contract
Iris’s leading financial client is looking for FullStack .NET Developer to join their team at Toronto, ON(Hybrid) location.
Added 16 days ago
Senior Data Scientist
TripleLift
Toronto, ON
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that…
Added 16 days ago
KS
Java or Golang (Go)
Kumaran Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for an experienced Software Developer with strong hands-on experience in either Java or Golang (Go) and a good understanding of microservices architecture, containerization,…
Added 16 days ago
Unified Customer Experience - Senior Software Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 16 days ago
A
Senior Advisor, Governance, Risk and Compliance (GRC) - Cybersecurity
Alithya
QC · QC, Canada
- Full-time
Connaissance des environnements Azure, AWS ou Google Cloud;
Added 16 days ago
H
Forward Deployed Engineer
HRConnects
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
Designing and deploying enterprise AI and data applications across cloud platforms
Added 16 days ago
M
Business Intelligence Analyst
Manulife
Waterloo, ON
- Full-time
…dashboards, maintaining reporting accuracy, and translating data into clear, actionable information for business stakeholders. The analyst will work with BI tools and light SQL queries to…
Added 16 days ago
WA
Software Engineer
Weekday AI
Remote, Canada
- ₹5,000,000 to ₹15,000,000 INR / year
- Full-time
- Remote
Solid understanding of data structures, algorithms, object-oriented programming, and software development principles.
Added 16 days ago
S
Staff Software Engineer
SoTalent
Toronto, ON
- $173,000 to $197,000 CAD / year
- Full-time
…organization operates like a tech company within a bank, focusing on cloud native solutions, machine learning, and conversational AI to redefine the consumer credit experience for millions…

Swoon

Intermediate Data Engineer

Toronto, ON, Canada

$80 to $90 CAD / hour · Contract

Apply on LinkedIn About employer

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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 on LinkedIn 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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Jobs in Canada