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Insight Global

AWS Data Engineer

Toronto, ON, Canada

$55 to $65 CAD / hour · Contract

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Job details

Pay: $55 to $65 CAD / hour
Job type: Contract
Apply by: Nov 26, 2026
Experience: 3+ years of Data Engineering experience
Posting language: English
Posted: Oct 27, 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.

Pay: 55hr to 65/hr

Vacancy: New Vacancy (New Role)

We use Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

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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.

Requirements

Requires 3+ years of data engineering experience, strong Python development 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 be comfortable integrating data from multiple sources, working in a large enterprise, and communicating directly with business stakeholders; banking or commercial banking experience and ML/MLOps experience are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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