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Added 2 days ago
G
Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Remote, Canada
- Full-time
- Remote
Added 2 days ago
GT
Payment Operations Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $40 to $47 CAD / hour
- Contract
Onsite Flexibility: Hybrid - 2 days on-site (Mondays and Tuesdays)
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…monitoring, and observability. The ideal candidate will have strong Python and machine-learning engineering expertise, with a proven ability to take machine-learning models from…
Added 2 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 2 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 2 days ago
I-
Business Analytics on payments operations
IFG - International Financial Group
Toronto, ON
- Contract
Hybrid: 2 days onsite per week (Monday & Tuesday)
Added 2 days ago
N
Service Router Test Student
Nokia
Ottawa, ON
- Full-time
Develop and enhance test automation using Python/TCL in a Linux-based regression environment to ensure software quality and stability.
Added 2 days ago
FE
QA Functional Tester Junior Intern
Future Electronics
Kirkland, QC
- Internship
Exposure to Python and ability to read, understand, or create simple scripts is required.
Added 2 days ago
HT
Intermediate Software Developer
Hirematic Talent Solutions
Toronto, ON
- $40 to $45 CAD / hour
- Full-time
We are seeking a Power BI Developer to support the development, maintenance, and enhancement of enterprise reporting and analytics solutions. The successful candidate will work closely with…
Added 2 days ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
Location: Hybrid, 1 day onsite, Downtown Toronto, ON
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…monitoring, and observability. The ideal candidate will have strong Python and machine-learning engineering expertise, with a proven ability to take machine-learning models from…
Added 2 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 2 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 2 days ago
S
Senior Windows Server Automation Engineer
Swoon
Toronto, ON
- Contract
…automation, not chasing tickets. If you write Ansible and/or Python like a developer - modular, idempotent, source-controlled, tested - and you know Windows Server infrastructure cold, this…
Added 2 days ago
TI
Technical Architect
Themesoft Inc.
Toronto, ON
- Contract
· Hands-on technical ability with programming languages including Python, TypeScript, Node.js, MongoDB, expertise in REST APIs, JSON, DevOps, and infrastructure considerations.
Added 2 days ago
RI
Contact Center/Amazon Connect with AWS DevOps
Raas Infotek
Toronto, ON
- Contract
Location : Toronto,ON -Hybrid (3 days per week onsite)
Added 2 days ago
QW
QA Analyst
Quantum World Technologies Inc.
Toronto, ON
- Contract
Develop and maintain test automation scripts using Python/PyTest.
Added 2 days ago
DI
ETL Software Developer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a highly skilled ETL Software Developer to join our dynamic team and support one of our clients.
Added 2 days ago
KR
Amazon Connect & AWS DevOps
KTek Resourcing
Toronto, ON
- Contract
Location: Toronto, ON (3 days per week onsite)
Added 2 days ago
AI
DevOps / OpenShift Engineer – PostgreSQL
Aptino, Inc.
ON · Ontario, Canada
- Contract
Location: Toronto, ON (4 Days Onsite – Mandatory)
Added 2 days ago
Lead Engineer, Test Development
Celestica International LP
Newmarket, ON
…validation, qualification and installation support for manufacturing…
Added 2 days ago
GL
Senior Cloud Engineer
goeasy Ltd.
Mississauga, ON
- Full-time
Proficiency in Python, PowerShell, Bash, or similar scripting languages, including experience using APIs and cloud SDKs to automate operations.
Added 2 days ago
C
Senior Program Manager – AI Security Research
Centraprise
Toronto, ON
- Contract
Location: Toronto, Canada (Hybrid – 3 Days Onsite/Week)
Added 3 days ago
KI
Observability Engineer
KPG99 INC
Montreal, QC
- Contract
Location : Montreal, QC - Canada - Hybrid 3 days a week - onsite interview is mandatory.
Added 3 days ago
Développeur.se de logiciels - Flux de travaux agentifs / Software Developer - Agentic Workflows
Electronic Arts
Montreal, QC
As a Software Developer, you will help build the agentic harness that turns intent into working games and the loop that lets an agent write, run, evaluate, and repair its own work.

S M Software Solutions Inc

RQ00241 – Software Developer – ETL – Senior

Toronto, ON, Canada

Internship

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Job details

Job type: Internship
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Client: Metrolinx – RQ00241

We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration solutions. The ideal candidate will have strong expertise in Python, SQL, ETL/ELT, APIs, data integration, data transformation, and cloud-based data platforms, along with a strong understanding of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry. The successful candidate will build reusable data services and pipelines to support enterprise AI, Machine Learning, Generative AI, analytics, and data initiatives while ensuring data quality, scalability, reliability, and performance.

Role Snapshot

Job Title: RQ00241 – Software Developer – ETL – Senior
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada
Work Arrangement: Hybrid – 3 Days per Week Onsite
Estimated Start Date: November 23, 2026
Estimated End Date: May 23, 2027
Business Days: 130.00
Hours: 7.25 hours per day

Must Have

Significant hands-on experience designing and developing scalable, production-grade data pipelines for AI/ML and Generative AI workloads, including data ingestion, transformation, feature engineering, training and inference datasets, RAG/grounding data, and AI/ML pipeline integration.
Advanced hands-on expertise in Python, SQL, ETL/ELT, APIs, data integration and transformation, and cloud-based data platforms, applying strong software engineering practices to build reliable, scalable, maintainable, and production-ready data solutions.
Strong working knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, with an understanding of ML pipelines, feature engineering, model training/testing, inference, monitoring, and the data requirements needed to support reliable enterprise AI/ML solutions.

Description

The Senior Software Developer – ETL will design, build, and maintain scalable data pipelines, integrations, and reusable data services that enable enterprise AI, analytics, and data initiatives.

The role will help improve access to trusted data across enterprise systems, operationalize data architecture and integration patterns, and reduce the time and effort required to onboard data for new AI and analytics use cases.

Key Responsibilities

Design, develop, test, and maintain ETL/ELT pipelines and data integration solutions across enterprise data sources.
Build reusable data pipelines, services, and integration components that can support multiple AI and analytics use cases.
Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
Implement data architecture, modelling, and integration patterns established by enterprise architecture.
Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
Design solutions that support scalability, reliability, performance, monitoring, and maintainability.
Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.

Qualifications & Experience

Degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related discipline, or equivalent experience.
Significant experience in data engineering, ETL/ELT development, software development, or enterprise data integration.
Demonstrated experience designing and developing scalable data pipelines and integration solutions.
Strong programming and SQL skills, with experience working with modern data engineering frameworks and cloud-based data platforms.
Experience integrating data through databases, APIs, file-based sources, and enterprise applications.
Knowledge of data modelling, data quality, metadata, lineage, security, and data governance concepts.
Experience supporting data platforms used for AI, machine learning, advanced analytics, and business intelligence.
Strong analytical, troubleshooting, communication, and collaboration skills.

Additional Information

Work Arrangement: Hybrid – 3 days a week onsite.
Public Sector Experience: Preferred but not required.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Please note that we cannot proceed with your submission without the following mandatory documents.

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Additional Information

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines, integrations, and reusable data services for enterprise AI, analytics, and data initiatives. Ensure data quality, reliability, performance, and maintainability while collaborating with technical and business teams and supporting deployment and ongoing improvement.

Requirements

Requires significant experience in data engineering, ETL/ELT, software development, or enterprise data integration, with strong Python, SQL, API, and cloud data platform skills. Candidates should understand Azure data and AI services, scalable pipeline design, data quality and governance, and data preparation for AI/ML workloads; a relevant degree or equivalent experience is required.

Skills

Python
SQL
ETL/ELT
Data Pipelines
Data Integration
APIs
Azure
Azure Machine Learning
Microsoft Foundry
Data Transformation
Data Modeling
Data Quality
Machine Learning
Generative AI
Cloud Data Platforms
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
ETL/ELT
Data Engineering
Data Pipelines
Data Integration
APIs
Azure
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Generative AI
Machine Learning
Feature Engineering
RAG
Cloud Data Platforms
Data Transformation
Data Modeling
Data Quality
Metadata
Data Lineage
Data Governance
Data Security
Enterprise Architecture
Analytics
Business Intelligence
Structured and Unstructured Data
Model Training
Inference
Pipeline Monitoring

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