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Added 4 months ago
Network Engineer, Optical Deployment
Meta
Quinte West, Ontario
Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical…
Added 4 months ago
B
Data Engineer
Bounteous
Montreal, Quebec
- Full-time
3-5 years of experience with Python for ETL and report generation
Added 4 months ago
EN
Distinguished SW Systems Engineer (10343)
Extreme Networks
Toronto, ON
- Full-time
Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.
Added 5 months ago
M
Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, British Columbia
- Full-time
The Fabric Mirroring team is currently seeking a Senior Software Engineer to join their team. This team oversees designing, building, and operating a next generation service that transfers…
Added 4 months ago
S
Technical Support Engineer
Sentry
Remote, Canada
- $100,000 to $125,000 CAD / year
- Full-time
- Remote
We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
We are currently building our talent pipeline for upcoming Forward Deployed AI Engineer opportunities in Canada. While we may not have an immediate opening today, we are actively connecting…
Added 4 months ago
C
Apps Development Sr Manager - Vice President
Citi
Mississauga, Ontario
- Full-time
…implementing, and managing the firm's engineering platforms, with a focus on CI/CD, container orchestration, and observability. The overall objective of this role is to drive the automation…
Added 4 months ago
C
Apps Development Sr Manager - Vice President
Citi
Remote, Canada
- Full-time
- Remote
…or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming…
Added 3 months ago
AI Native Engineer
CookUnity
Toronto, Ontario
You'll embed directly with the cross functional AI team as a dedicated AI engineer. Your job isn't to write code faster with AI. It's to fundamentally redesign how work gets done. You'll…
Added 4 months ago
C
Applications Development Sr Programmer Analyst - Assistant Vice President
Citi
Remote, Canada
- Full-time
- Remote
We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an…
Added 4 months ago
Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design)
Meta
Quinte West, Ontario
…this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network infrastructure solutions at scale in a data center…
Added 4 months ago
Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design)
Meta
Quinte West, Ontario
…this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network infrastructure solutions at scale in a data center…
Added 4 months ago
EI
Senior Integrations Developer / AI Data Integration Engineer
Engineered Intelligence Inc.
Mississauga, Ontario
- Full-time
We are looking for an experienced and hands-on Senior Integrations Developer / AI Data Integration Engineer to help lead the evolution of our modern data integration platform. This role…
Added 4 months ago
Network Engineer, Foundation & Support (DC Design)
Meta
Quinte West, Ontario
…This global team offers a unique career opportunity to work with cutting-edge network infrastructure technologies and engineers solving complex problems in the industry. For this role, we…
Added 2 months ago
GM
Senior Software Developer - Test Automation
General Motors
Remote, Canada
- Full-time
- Remote
You will join our engineering organization as a Software Development Engineer in Test (SDET), responsible for building robust, scalable, and automated testing solutions that ensure the…
Added 4 months ago
BC
Senior Business Intelligence Engineer
BFL CANADA
Montreal, Quebec
- Full-time
As a Senior Business Intelligence Engineer, you will design and deliver scalable BI solutions that enable data-driven decision-making across the organization. This is a hands-on role with a…
Added 2 months ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Added 2 months ago
A
Principal Data Engineer, User Success
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Added 4 months ago
HT
Intern Engineer – RL Post-Training for LLMs
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Internship
Collaborate with researchers and engineers on cutting-edge LLM projects
Added 4 months ago
TC
Senior Software Engineer
Treewalk Consulting Inc.
Remote, Canada
- Full-time
- Remote
…and government entities. We combine deep technical expertise with a forward-thinking culture - and we're looking for someone to take the next steps of AI integration into accounting with…
Added 4 months ago
Senior Software Engineer, Backend (Consumer - Risk)
Coinbase
Canada
Deep proficiency in backend languages (Go, Ruby, Python, or Java) with demonstrated experience designing distributed systems including microservices, event-driven architectures, and…
Added 4 months ago
P
AI Deployment Strategist
Pigment
Toronto, Ontario
- Full-time
With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner®…
Added 5 months ago
S
Senior/Lead Risk Analyst, Payment fraud
Snaplii
Toronto, Ontario
- Full-time
Proficiency with machine learning frameworks (Python or R with Sklearn, XGBoost, LightGBM, etc.) and prior experience deploying models into production environments.
Added 1 month ago
EM
Senior Software Engineer - Backend
Evertz Microsystems Limited
Burlington, ON
- Full-time
As a Senior Software Engineer, you will combine strong software engineering fundamentals with modern AI-assisted development practices. You will work on the evertz.io microservices and…
Added 4 months ago
T
Senior Software Engineer, Site Reliability Engineering
Thumbtack
Remote, Canada
- Full-time
- Remote
…prioritizing high performance, availability, and throughput, with a focus on minimizing service disruptions, downtime, and latency. SRE impacts Thumbtack’s ecosystem across the entire…

Engineered Intelligence Inc.

Senior Integrations Developer / AI Data Integration Engineer

Mississauga, ON, L5R 4C1, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of experience in ETL development, data integration, data engineering, or related roles
Posting language: English
Posted: Jun 9, 2026

Original job description

Our Business:

Engineered Intelligence Inc. is a power infrastructure technology company focused on delivering advanced analytics and AI-driven solutions for electric utilities and critical infrastructure organizations. Our ENGIN platform helps utilities monitor, model, and optimize asset performance, operational reliability, and long-term infrastructure planning through modern analytics, machine learning, and large-scale data integration.

As our platform evolves, we are investing heavily in next-generation AI-assisted data integration and ETL automation capabilities. Our vision is to build an intelligent integration framework that leverages agentic workflows, AI skills, metadata-driven processing, and cloud-native execution environments to accelerate and standardize how complex client data is onboarded into ENGIN.

Our core values include:

Teamwork - Teamwork is about investing in our people. Employee engagement, training & development, and providing various opportunities for growth. Great people do great things together. We support each other, share knowledge, and collaborate to solve complex challenges that no one can tackle alone.

‍Customer Commitment - To reach the level of success we aspire to, we need to place our customers at the center of every decision. What challenges are they or the industry facing? How can we continue to solve these pain points? How can we innovate to prevent future challenges before they appear? Customer commitment is going beyond sales; it’s making a promise and then over-delivering so that our customers become our external sales team.

Innovation - Innovation covers more than creating new products/services. Innovation also means adopting an innovative mindset for how we approach the day-to-day. This includes assessing how we think, work, or communicate and identifying opportunities to improve. We rethink the status quo from the ground up. By embracing diverse perspectives and challenging assumptions, we create solutions that move the industry forward and redefine what’s possible in utility planning. We are willing to break the status quo and create new ways of doing things to drive the team forward.

Ownership - We take initiative, follow through, and hold ourselves accountable. From the smallest detail to the biggest decision, we own the outcome.

The Position:

We are looking for an experienced and hands-on Senior Integrations Developer / AI Data Integration Engineer to help lead the evolution of our modern data integration platform. This role combines traditional ETL and data engineering expertise with emerging AI-assisted integration development practices.

You will work on building scalable data ingestion and transformation pipelines while contributing to the development of a next-generation AI-assisted ETL framework that uses agents, metadata, reusable skills, and workflow orchestration to automate portions of the integration lifecycle.

The ideal candidate is equally comfortable reverse-engineering complex client systems, designing robust transformation logic, working directly with data models and business rules, and leveraging AI development tools to accelerate delivery.

This is a foundational role within our growing integrations function and will play a critical role in shaping future integration standards, tooling, and architecture across the organization.

Key Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines for onboarding external client data into the ENGIN analytics platform
Analyze and reverse-engineer client systems, source data structures, and business processes to define integration approaches
Develop transformation logic, mapping rules, reconciliation processes, and validation workflows for complex utility and enterprise datasets
Contribute to the design and implementation of AI-assisted and metadata-driven integration development frameworks
Work with agentic workflows, reusable AI skills, metadata models, and automation pipelines to accelerate integration development
Develop integration logic using Python, PySpark, SQL, and cloud-native data processing frameworks
Support deployment and orchestration of ETL workloads within AWS-based infrastructure environments.
Implement data quality, validation, monitoring, reconciliation, and error-handling processes across integration workflows
Collaborate with product, delivery, customer, and engineering teams to define data contracts, transformation requirements, and integration standards
Document integration logic, business rules, workflows, and architectural decisions
Participate in architectural planning and contribute to long-term modernization of the company’s integration ecosystem
Assist with project estimation, implementation planning, technical discovery, and stakeholder communication

Work location:

We are a hybrid company with offices in Calgary and Toronto. We spend much of our time working remotely but also meet regularly in our offices. Only candidates that can regularly work in either of these locations will be considered.

Skills & Qualifications:

5+ years of experience in ETL development, data integration, data engineering, or related roles
Strong hands-on experience with Python and SQL for data transformation and pipeline development
Experience working with modern cloud-based data processing and orchestration environments
Strong understanding of relational data modeling, dimensional modeling, CDC concepts, ODS/data marts, and data warehousing principles
Experience developing transformation rules, reconciliation logic, mapping logic, and data validation frameworks
Strong understanding of data profiling, pattern recognition, natural keys vs surrogate keys, and reference/lookup data management
Experience working with APIs, flat files, databases, and event-driven integration patterns
Comfortable using AI-assisted development tools to generate, review, and refine technical artifacts and code
Understanding of modern AI terminology and concepts such as agents, agentic workflows, metadata-driven processing, reusable skills, hooks, and orchestration patterns
Familiarity with AWS cloud services and distributed data processing concepts
Strong analytical, troubleshooting, and system discovery skills
Excellent communication, documentation, and stakeholder collaboration abilities
Ability to work independently in a fast-paced and evolving technical environment

Nice to Have:

Experience with PySpark, Apache Spark, EMR, Databricks, or distributed processing frameworks
Experience with orchestration and workflow tools
Experience with event-driven architectures and messaging platforms
Familiarity with DevOps and CI/CD practices for data pipelines
Exposure to AI/LLM-assisted software development workflows
Experience mentoring developers or helping establish technical standards and best practices
Experience working within utility, critical infrastructure, or industrial analytics environments

What success looks like:

Successfully onboard and modernize complex client data integrations
Help establish repeatable, scalable integration development standards
Contribute to the evolution of AI-assisted ETL development capabilities
Improve integration delivery speed, quality, observability, and maintainability
Act as a trusted technical contributor across integration, analytics, and platform initiatives

What We Offer:

Opportunity to work on advanced AI-assisted integration and analytics platforms
Direct impact on the architecture and future direction of the company’s data platform
High level of ownership, autonomy, and technical influence
Competitive compensation and benefits
Collaborative and technically strong engineering culture
Flexible Hours – Work around a core schedule (10:00 AM – 3:00 PM) while maintaining a work-life balance that suits you.

Autonomy & Growth – Take ownership of diverse responsibilities, explore cross-disciplinary opportunities, and advance your career in a dynamic, fast-growing company.

Apply About employer

More about this job

Responsibilities

Design and maintain scalable ETL/ELT pipelines to onboard client data into the ENGIN analytics platform. Lead the development of a next-generation AI-assisted integration framework using agentic workflows and metadata-driven processing.

Requirements

Requires 5+ years of experience in ETL development and data engineering with strong proficiency in Python, SQL, and AWS. Candidates must be comfortable using AI-assisted development tools and possess deep knowledge of relational and dimensional data modeling.

Skills

Python
SQL
ETL/ELT Pipelines
PySpark
AWS
Data Modeling
AI Agentic Workflows
Data Warehousing
API Integration
Distributed Data Processing
Data Validation
System Discovery
Metadata-Driven Processing
CDC Concepts
Orchestration
Technical Documentation

Benefits

Competitive Compensation
Flexible Hours
Professional Development
Autonomy And Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Apache Spark
EMR
Databricks
AWS
ETL
ELT
AI Agents
LLM
Data Integration
Data Engineering
Dimensional Modeling
CDC
ODS
Data Marts
API
Event-Driven Architecture
CI/CD
DevOps
Utility Infrastructure
Industrial Analytics
Metadata-Driven
Workflow Orchestration
Data Profiling
Data Validation
Cloud-Native
Agentic Workflows
Reconciliation Logic

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