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Added 4 months ago
IL
Advanced Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
The Advanced Software Quality Assurance (SQA) Analyst is responsible for designing, developing, and executing complex test strategies to ensure high‑quality software releases. This role…
Added 4 months ago
EI
Senior Integrations Developer / AI Data Integration Engineer
Engineered Intelligence Inc.
Mississauga, Ontario
- Full-time
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…
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
Développeuse ou développeur en développement et exploitation (DevOps) sénior, Asset Manager / Senior DevOps Developer, Asset Manager
Unity Technologies
Montreal, Quebec
Comme développeuse ou développeur en développement et exploitation (DevOps) sénior, vous serez responsable de la manière dont l’Asset Manager est déployé dans notre offre infonuagique…
Added 1 month ago
RR
Principal Android Engineer
Rakuten Rewards
Toronto, ON · CN-Yonge Sheppard Center
- Full-time
We are seeking a visionary Principal Android Engineer to lead the evolution of our client application architecture and platform capabilities. You’ll define and drive the technical direction…
Added 4 months ago
C
React Full Stack Developer
Citi
Remote, Canada
- Full-time
- Remote
From a technical standpoint, the Software Engineer has full-stack coding and implementation responsibilities and adheres to best practice principles including modern cloud-based software…
Added 5 months ago
Infrastructure Engineer 2
Lastwall
Canada
Enhance and maintain deployment tooling and CI/CD pipelines to support reliable software delivery. Work with tools such as GitLab, CodeCommit, CodeDeploy, Docker, and containerized…
Added 3 months ago
IM
Senior Manager, AWS Technical Support
Ingram Micro
Remote, Canada
- $150,000 to $165,000 CAD / year
- Full-time
- Remote
Champion automation, tooling, and DevOps/cloud-native practices within support operations.
Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
…so, we have the perfect opportunity for you! As a Senior Data Engineer, you will ensure scalable and efficient data systems by addressing global operational demands, maintaining high data…
Added 2 months ago
Software Engineer, CMS (Registry Support)
AutoTrader.ca
Toronto, ON
The Software Engineer - Support is an individual contributor responsible for maintaining the reliability, stability, and operational health of CMS services. This role focuses on hands-on…
Added 5 months ago
S
Senior Site Reliability Engineer
SimCorp
Toronto, Ontario
- Full-time
As a Senior Site Reliability Engineer, you will be embedded within one of our Product Areas, taking ownership of specific responsibility domains where your experience, interests, and growth…
Added 5 months ago
Tech Lead
LauraMac, LLC
Quinte West, Ontario
At LauraMac, we’re transforming the mortgage technology ecosystem with scalable, secure, and high-performing software. As a Tech Lead, you’ll play a dual role - acting as both a hands-on…
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
The Senior Software Quality Engineer leads the design, execution, and oversight of complex test strategies to ensure the delivery of high quality, reliable software products for Finance…
Added 1 month ago
IL
Advanced Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
The Advanced Software Quality Engineer leads the design, execution, and oversight of complex test strategies to ensure the delivery of high quality, reliable software products for the LCAR…
Added 5 months ago
GS
Senior Site Reliability Engineer
Guidewire Software
Remote, Canada
- Full-time
- Remote
At Guidewire, we make software that offers Property and Casualty (P&C) Insurance companies the tools to take care of their customers when they need it the most, whether that’s a time of…
Added 4 months ago
N
DevOps Cloud Engineer
Nasdaq
Toronto, Ontario
- Full-time
As a DevOps Cloud Engineer you'll play a critical role in designing, automating, and operating the cloud infrastructure that powers Nasdaq's global solutions and enables seamless software…
Added 1 month ago
Lead Software Engineer
Scotiabank
Toronto, ON
GBME is searching for a Lead Software Engineer who is eager to boost capabilities of capital markets products and analytics platforms.
Added 5 months ago
HM
Senior Backend Engineer (.NET & AI/ML)
HW Management Inc
Vancouver, British Columbia · Toronto, Ontario · Alberta
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 5 months ago
C
AI Engineer
Chubb
Toronto, ON
- Full-time
We are seeking a highly skilled AI Engineer to lead the design, solutioning, and development of scalable, reusable AI-driven core capabilities for our global Finance Transformation program.…
Added 5 months ago
W
(CAN) Quality Engineer III
Walmart
Mississauga, Ontario
- Full-time
A DevOps orientation requires knowledge of operating systems, software maintenance tools, application monitoring tools, debugging tools, and design methodologies. This role defines metrics…
Added 5 months ago
S
Senior Site Reliability Engineer
SimCorp
Toronto, Ontario
- Full-time
As a Senior Site Reliability Engineer, you will be working on Cloud Native Products & Services, taking ownership of various responsibility domains like monitoring, observability, release…
Added 6 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
DevOps, SRE, or software development experience.
Added 2 months ago
LT
DevOps Team Lead
LMI Technologies
Burnaby, BC
- $108,000 to $135,000 CAD / year
- Full-time
Combined 10+ years of experience in a DevOps, software development, software quality assurance role and/or related education
Added 2 months ago
P
Senior MES Configuration Engineer - Proficy
PGBPGNGLOBAL
Toronto, Ontario
- Full-time
Continuously look for opportunities to create more efficient DevOps processes leveraging automation, new tools, and exploring new development platforms together with DevOps Engineers.
Added 2 months ago
Software Engineer, CMS (Registry Support)
AutoScout24
Toronto, ON
The Software Engineer - Support is an individual contributor responsible for maintaining the reliability, stability, and operational health of CMS services. This role focuses on hands-on…

Engineered Intelligence Inc.

Senior Integrations Developer / AI Data Integration Engineer

Mississauga, ON, L5R 4C1, Canada

Full-time

Apply About employer

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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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