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Added 38 mins ago
IS
Senior QA Engineer (Python & French Language Mandatory)
InfiCare Staffing
Canada
- Contract
Looking for a Senior QA Engineer with strong Python automation, advanced SQL, AWS data pipeline testing, and backend/API testing experience. The role focuses on simulating high-volume…
Added 2 hours ago
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Senior Data Engineer
Taiv
Winnipeg, MB
- Full-time
Taiv runs on data from tens of thousands of devices in the field, the ads we serve, the venues and advertisers on the platform, and the output of our in-house computer vision models. We're…
Added 2 hours ago
L
Applied AI Engineer
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 2 hours ago
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Lead Cloud Software Developer - (AWS / AI / Real Time Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an experienced Lead Cloud Software Developer to design, build, and support secure, scalable, highly available, and resilient real-time payment systems. The ideal candidate…
Added 3 hours ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking an experienced AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and financial services applications.
Added 3 hours ago
II
Sr. SDET Engineer
ITC Infotech
Vancouver, BC
- $81,194 to $117,853 CAD / year
- Full-time
We are seeking a Sr. SDET Engineer with strong Test leadership skills and hands-on experience to Data/ETL Testing, Automation Testing and Test leadership activities. The role focuses on…
Added 4 hours ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Senior-level Python development across the full data and ML stack.
Added 4 hours ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
Proficiency in several of C#/ASP.Net Core, Python, PowerShell, AWS, Docker, Kubernetes, Open Telemetry, SQL, and ElasticSearch
Added 4 hours ago
IG
AWS Data Engineer
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
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…

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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