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Added 4 months ago
Senior Full Stack AI Engineer
Ombud
Quinte West, Ontario
We're hiring a senior full-stack engineer to build the next generation of Ombud's agentic AI platform. The work splits across two domains: building the agentic engine itself (LlamaIndex /…
Added 4 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 4 months ago
Senior Software Engineer (Applications)
Forma.ai
Toronto, Ontario
As a Senior Backend Engineer, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases,…
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
TC
Senior Software Engineer
Treewalk Consulting Inc.
Remote, Canada
- Full-time
- Remote
We're building custom internal systems at the cutting edge of agentic AI in the accounting and finance space. The Senior Software Engineer will be the hands-on architect and builder of the…
Added 4 months ago
R
Senior Software Engineer
Relay
Remote, Canada
- Full-time
- Remote
…reinvent banking, and we’re looking for a curious, impact-driven Senior Software Engineer to join our growing team – someone who thrives on taking smart risks, experimenting boldly, and…
Added 4 months ago
Principal Platform Engineer - Kubernetes & Cloud Infrastructure
Ombud
Quinte West, Ontario
We're hiring a Principal Platform Engineer to own that foundation. This is a senior individual contributor role with broad architectural authority. You will not have direct reports. You…
Added 1 month ago
Senior Forward Deployed Engineer - Okta for AI Agents
Okta
Toronto, ON
Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance…
Added 5 months ago
EB
Senior Modern Workplace Engineer
EQ Bank | Canada's Challenger Bank
Toronto, Ontario
- Full-time
The Senior Modern Workplace Engineer plays a key role in the design, delivery, and ongoing support of cloud-based productivity and collaboration services across the organisation. The role…
Added 5 months ago
MF
Senior Software Development Engineer in Test
Magnet Forensics
Ottawa, Ontario · Toronto, Ontario · Waterloo, Ontario
- Full-time
We are seeking a highly skilled and experienced Senior Software Development Engineer in Test (SDET) to join our engineering team, supporting the development and deployment of our…
Added 5 months ago
B
Principal Data Developer
BlueCat
Toronto, Ontario
- Full-time
We are seeking a highly skilled Data Principal Engineer with strong leadership, communication, and collaboration abilities to join our dynamic team. In this exciting role, you will help us…
Added 5 months ago
D
Senior Supply Chain Security Engineer (East Coast Preferred)
Docker
Remote, Canada
- Full-time
- Remote
As a Senior Supply Chain Security Engineer, you will own substantial content and improvement work from upstream discovery through release and ongoing maintenance. You will be expected to…
Added 5 months ago
D
Agent Deployment Engineer
Decagon
Canada
- $150,000 to $200,000 CAD / year
- Full-time
We’re creating an Agent Deployment Engineering Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the…
Added 5 months ago
EB
Staff Engineer, Cloud Engineering
EQ Bank | Canada's Challenger Bank
Toronto, Ontario
- Full-time
As a Staff Cloud Engineer, you will serve as a senior technical expert supporting EQ Bank’s Microsoft cloud platforms with a focus on Power Platform (30%), Azure Cloud Engineering (30%),…
Added 5 months ago
K
SOX Auditor - IT Controls Manager
Kraken
Remote, Canada
- Full-time
- Remote
Technical fluency with enterprise technology environments - you don’t need to be an engineer, but you need to understand how systems, databases, and deployment pipelines work to effectively…
Added 5 months ago
S
Senior Full Stack Software Engineer
Super.com
Remote, Canada
- Full-time
- Remote
As a Senior Full-Stack Engineer, you will be a senior technical contributor on one of our teams, working across both frontend and backend web development. You will help solve complex…
Added 6 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Support change, release, and deployment activities following ITIL best practices.
Added 6 months ago
T
Machine Learning Engineer
TD
Remote, Canada
- Full-time
- Remote
We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.
Added 2 months ago
R
Software Development Engineer II, ML Platform
Remitly
Burnaby, BC
- Full-time
We're seeking a Senior Engineer to shape the tooling and infrastructure that power the next generation of scalable AI / ML products at Remitly. In this role, you'll collaborate with AI /…
Added 4 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
Reporting to the Principal Architect, we are hiring a Lead AI Engineer to help shape and build the next generation of AI capabilities across the Altus Group platform ecosystem. As our new…
Added 1 month ago
Senior Developer Experience Engineer
Justworks
Toronto, ON
As a Senior Developer Experience Engineer, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational…
Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…
Added 5 months ago
T
AI Architect I
TextLayer
Remote, Canada
- $215,000 to $250,000 CAD / year
- Full-time
- Remote
…capabilities, designing a plan, and getting everyone aligned on a path…
Added 4 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.
Added 6 months ago
Q
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, ON
- Full-time
…- from cutting-edge research and development to commercial deployment - and demands strategic thinking, strong execution, and excellent communication…

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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