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Added 19 mins ago
S
Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
Added 1 hour ago
IR
Senior Compiler Engineer
IC Resources
Toronto, ON
- Full-time
Senior/Staff Compiler Engineer responsibilities:
Added 1 hour ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
…Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing delivery…
Added 4 hours ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
…techniques. This is a fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a…
Added 7 hours ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 7 hours ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 7 hours ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
As an entry-level Forward Deployed Engineer based out of our Vancouver office, you will bridge the gap between Nutanix AI product engineering, cutting-edge systems research, and enterprise…
Added 7 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 7 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 11 hours ago
T
Staff Machine Learning Engineer
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 12 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Added 12 hours ago
GC
Machine Learning Research & Engineering Specialist
Gramian Consulting Group
Remote, Canada
- Contract
- Remote
SENIORITY: Experienced / Research-Level Engineer
Added 13 hours ago
F
Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
FullStack
Toronto, ON
- Full-time
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).
Added 13 hours ago
AC
Product Development Engineer - Mechanical Design For Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Product Development Engineer - Mechanical Design for Liquid Cooling
Added 14 hours ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large,…
Added 15 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
We are looking for a Senior Forward Deployed AI Engineer, Analytics to partner directly with analytics teams and business stakeholders to turn high-value analytical problems into practical,…
Added 15 hours ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Added 15 hours ago
SL
Student, Software Engineer - Security (Winter 2027)
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
…environments. In this role, you will contribute as a software engineer while helping embed security practices into the design, development, testing and operation of project…
Added 16 hours ago
Staff Machine Learning Engineer
Twilio
ON
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 16 hours ago
PG
Full Stack Engineer
Pacer Group
Toronto, ON
- $55 to $58 CAD / hour
- Contract
Added 16 hours ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 16 hours ago
AI
AI Evaluator/ Quality Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Evaluator/ Quality Engineer.
Added 16 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.
Added 17 hours ago
WT
.NET Engineer
Wissen Technology
Calgary, AB
- Full-time
We are seeking a highly skilled .NET Engineer with strong Python development experience to join our engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 18 hours ago
WD
Sr. Software Engineer - Emerging Technology
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Emerging Technology Sr. Software Engineer will collaborate with engineering and production teams to build supportive tooling and agentic workflows, focusing on templates and frameworks…

Insight Global

Data Engineer

Toronto, ON, Canada

$70 to $82 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $70 to $82 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Experience: 3+ years of Data Engineering experience
Posting language: English
Posted: Oct 26, 2026

Original job description

Required Skills & Experience

Must-Have Skills

Strong Python development experience.

Advanced SQL skills.

3+ years of Data Engineering experience

Hands-on experience developing and migrating data pipelines.

Proven experience migrating data/workloads from on-premises environments to AWS.

Strong hands-on experience working within the AWS ecosystem.

Experience integrating and transforming data from multiple sources.

Strong communication and stakeholder-management skills.

Ability to operate in a consultative capacity, working directly with the business.

Experience working within a large enterprise environment.

Nice to Have Skills & Experience

Banking / FS experience

Commercial Banking

Job Description

We are seeking a 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.

This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be contributing to Commercial Banking's Underwriting AI enablement/automation vision

Key Responsibilities

Design, develop, and maintain data pipelines.

Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.

Gather, integrate, transform, and prepare data from multiple sources.

Use Python and SQL extensively for data development and manipulation.

Support integration of data into existing enterprise platforms and applications.

Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.

Support ML/MLOps integration into production environments where applicable.

Work within an enterprise environment supporting business-critical applications and workflows.

Communicate technical concepts clearly to both technical and non-technical stakeholders.

Must-Have Skills

Strong Python development experience.

Advanced SQL skills.

3+ years of Data Engineering experience

Hands-on experience developing and migrating data pipelines.

Proven experience migrating data/workloads from on-premises environments to AWS.

Strong hands-on experience working within the AWS ecosystem.

Experience integrating and transforming data from multiple sources.

Strong communication and stakeholder-management skills.

Ability to operate in a consultative capacity, working directly with the business.

Experience working within a large enterprise environment.

Pay: 70-82

Vacancy: New Vacancy (New Role)

We do use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

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More about this job

Responsibilities

Design, develop, and maintain data pipelines, integrate and transform data from multiple sources, and migrate existing pipelines and workloads from on-premises infrastructure to AWS. Partner with business and technical stakeholders to deliver enterprise data solutions and support the integration of machine learning and MLOps into production environments where applicable.

Requirements

Requires at least three years of data engineering experience, strong Python and advanced SQL skills, hands-on data pipeline development and migration experience, and proven experience migrating workloads from on-premises environments to AWS. Candidates should also have experience integrating data from multiple sources, working in a large enterprise, and communicating effectively with business stakeholders.

Skills

Python
Advanced SQL
Data Engineering
Data Pipeline Development
Data Pipeline Migration
AWS
On-Premises-to-Cloud Migration
Data Integration
Data Transformation
Machine Learning
MLOps
Stakeholder Management
Enterprise Data Platforms
Business Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Data Engineering
AWS
Data Pipelines
Pipeline Migration
On-Premises Migration
Cloud Migration
Data Integration
Data Transformation
Multiple Data Sources
Machine Learning
MLOps
Production Environments
Enterprise Platforms
Enterprise Transformation
Commercial Banking
Underwriting
AI Enablement
Automation
Stakeholder Management
Business Requirements
Business-Critical Applications
Data Workloads

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