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Added 4 mins ago
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Insight Global

Data Engineer

Toronto, ON, Canada

$70 to $80 CAD / hour · Contract

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Job details

Pay: $70 to $80 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

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.

Artificial intelligence tools are used to assist in screening and assessing applicants for this position. This role is vacant to support a new project. The hourly rate ranges from $70-80/hr.

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More about this job

Responsibilities

Design, develop, and maintain data pipelines; migrate existing pipelines and workloads from on-premises infrastructure to AWS; and integrate and prepare data from multiple sources using Python and SQL. Partner with business and technical stakeholders to deliver enterprise 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 pipeline development and migration experience, and proven experience moving workloads from on-premises environments to AWS. Candidates should also have experience integrating data from multiple sources, working in large enterprises, and communicating and consulting 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
Business Communication
Enterprise Environments
Commercial Banking

Visa sponsorship

Not detected in the job text

Keywords

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

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