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Added 4 hours ago
Senior Applications Engineer
Synopsys Inc
Ottawa, ON
Full-time
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP,…
Added 10 hours ago
Data Engineering Solutions Architect - Technology Services Group
Optimus SBR
Toronto, ON
Full-time
Continued growth has created an exciting opportunity for a Data Engineering Solutions Architect (Manager/Senior Manager Level) to join our Technology Services Group.
Added 12 hours ago
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
Full-time
Job Title: Senior Cryptographic Protocol Engineer
Added 13 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Independently investigate and resolve complex systems-level issues spanning kernel and user-mode boundaries, operating system integration, drivers, services, and client applications.
Added 13 hours ago
Senior Software Engineer- Telecom
Photon-IV
Canada
Full-time
The Senior Software Engineer – Telecom is a full-time, hybrid role based in Canada, with a mix of on-site collaboration and work-from-home flexibility. This role is responsible for leading…
Added 14 days ago
AI-Native Full Stack Product Engineer
Lighthouse Software Group
Canada
Full-time
You will work closely with a senior engineer who has built and scaled production systems and will provide direct mentorship as you grow. As the engineering team expands, there is also a…
Added 22 hours ago
Software Engineer
Randstad Digital
Vancouver, BC
Contract
Our Fortune 500 client is seeking a versatile Senior Backend & Data Engineer for a 12-month on-site contract to design, scale, and maintain cloud-native microservices and data pipelines. In…
Added 23 hours ago
Principal Mechanical Engineer - HVAC, Building Services, Fire Protection
Worley
Toronto, ON
Full-time
We are currently recruiting for a Principal Mechanical Engineer – HVAC, Building Services and Fire Protection Our team includes world class experts and dynamic go-getters. This is a…
Added 1 day ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
Design, develop, and maintain reliable, high-quality embedded software for both spacecraft and ground-based systems supporting a growing fleet of satellites<span…
Added 2 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Quality Engineer: Senior Data Quality Engineer – Zonda – Toronto, ON
Added 1 day ago
Senior Data Engineer
Boardwalk
Calgary, AB
Contract
The Senior Data Engineer provides architectural direction, technical leadership, and execution oversight for our core database modernization initiative. This role is responsible for shaping…
Added 4 days ago
Senior Controls Engineer
Reko International Group Inc HQ
Waterloo, ON
$40 to $50 CAD / hour
Full-time
…of designs through programming and commissioning of control systems including Electrical/pneumatic AutoCAD design, programming of all types of PLCs and HMIs, programming and teaching of…
Added 4 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 5 days ago
Senior Software Engineer (Conductor)
PocketHealth
Toronto, ON
Full-time
As a Senior Software Engineer, you are a full-stack software engineer who works directly alongside healthcare providers to get Conductor live and to make it matter. You take a signed…
Added 4 days ago
Senior Application Developer
BMO
Calgary, AB · GCS
As a Senior Software Engineer at BMO, you will be a hands‑on technical leader responsible for the design, development, and ownership of complex, enterprise‑grade applications and services.…
Added 5 days ago
Senior Controller Integration Engineering
General Motors
Markham, ON · Oshawa, ON
Full-time
We are seeking a senior engineer to join our Autonomous Vehicle Integrity Platform (AVIP) organization in a role that combines software triage and data analysis with cross-functional…
Added 1 day ago
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
…join our Data Engineering & Analytics team. Reporting to the Senior Director of Data Engineering & Analytics, this role will play a critical part in the design and evolution of our…
Added 2 days ago
Principal Mechanical Engineer
Worley
Toronto, ON
Full-time
We are currently recruiting for a Principal Mechanical Engineer – HVAC, Building Services and Fire Protection Our team includes world class experts and dynamic go-getters. This is a…
Added 9 days ago
Senior Marine Structural Designer (Permanent)
Babcock
Victoria, BC · Halifax, NS · Ottawa, ON
Design and develop solutions with a Structural focus for the integration of new sub-systems / components into existing systems.
Added 2 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Quality Engineer: Senior Data Quality Engineer – Zonda – Toronto, ON
Added 1 day ago
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 1 day ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 1 day ago
Senior Project Manager
National Research Council Canada / Conseil national de recherches Canada
Ottawa, ON
Full-time
The NRC is building new capabilities to help Canada accelerate the development, integration and adoption of emerging drone, counter-drone and autonomous systems technologies. At the centre…
Added 2 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner…
Added 1 day ago
Hydromechanical Engineer - Aerospace
Hallmark Global Solutions Ltd
Dorval, QC
Full-time
Take part in the integration of the flight control, hydraulic and/or landing gear system for the definition, specification, design, analysis, modification, test and certification of…

Engineered Intelligence Inc.

Senior Integrations Developer / AI Data Integration Engineer

Mississauga, ON, L5R 4C1, Canada

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

Apply About employer

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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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