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Added 4 months ago
IL
Senior Engineer Digital Distribution
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application…
Added 4 months ago
Site Reliability Engineer
TextNow, Inc.
Waterloo, Ontario
Proficient with Key Technologies: Hands-on experience with AWS, GitHub, Terraform, Ansible, or similar tools to build and manage cloud infrastructure efficiently.
Added 2 months ago
M
Senior Manager, Data Engineering
Moneris
Remote, Canada
- Full-time
- Remote
Strong stakeholder management and communication skills with the ability to influence cross-functional teams and executive stakeholders.
Added 4 months ago
DI
kdb+ Engineer
Data Intellect
Toronto, Ontario
- Full-time
If you’re a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow in a supportive, high-performance environment - this is your opportunity!
Added 4 months ago
DI
Senior kdb+ Engineer
Data Intellect
Toronto, Ontario
- Full-time
Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
Added 1 month ago
S
Senior Quality Engineer - Neurodiversity Hiring Initiative
Specialisterne
Toronto, ON
- Full-time
Build scalable automation solutions using Python and modern testing tools such as Playwright, with a focus on maintainable framework design, CI/CD integration, and reducing dependency on…
Added 1 month ago
A
Senior Software Developer
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a passionate and experienced Senior Software Developer to join a Data Services team focused on delivering core record- and entity-management services. You will help design,…
Added 4 months ago
O
Solution Consultant, NAM
Omilia
Remote, Canada
- Remote
The Solution Consultant a senior individual contributor who serves as the primary technical authority in Account Executive-led sales cycles within an assigned region or global segment. The…
Added 4 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems, and…
Added 2 months ago
MS
Senior Software Security Engineer
Motorola Solutions
Vancouver, BC · Quebec, QC · AB · BC · ON
- Full-time
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We…
Added 4 months ago
C
AI Engineer - Assistant Vice President
Citi
Remote, Canada
- Full-time
- Remote
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, 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 3 months ago
PF
Senior Decision Science Analyst
Pattison Food Group
Langley, British Columbia
- Full-time
A confident communicator, both verbally and in writing, with strong interpersonal skills and the ability to communicate a story with data and insights to non-technical stakeholders.
Added 4 months ago
D
Senior Software Engineer, Integrations
d1g1t
Toronto, Ontario
- Full-time
As a Senior Engineer, you won't just be writing code - you will be a vital technical voice and project leader. You will bridge the gap between business needs and complex data systems,…
Added 2 months ago
GM
Senior Software Developer – DevOps
General Motors
Remote, Canada
- Full-time
- Remote
As a Senior DevOps Developer in GM’s Virtualization and Software‑in‑the‑Loop (SIL) Integration group, you will build automation, pipelines, and cloud‑native systems that accelerate…
Added 2 months ago
MC
Senior Generative AI Engineer
MCI Careers
Canada
- Other
We are seeking a Senior Generative AI Engineer to lead the development of advanced AI-powered products and enterprise solutions. This role requires deep expertise in Large Language Models,…
Added 2 months ago
MC
Senior RAG Engineer
MCI Careers
Canada
- Other
We are seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms that power enterprise AI solutions. This role requires expertise in…
Added 2 months ago
MC
Senior AI / ML Engineer
MCI Careers
Canada
- Other
We are seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions that drive innovation…
Added 2 months ago
MC
Senior AI Systems Administrator
MCI Careers
Canada
- Other
MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
…designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every AI strategy you define, every architecture you design,…
Added 1 month ago
Sr. HPC & IT Systems Engineer (7723)
TSMC
Ottawa, ON
We're looking for a highly motivated Senior HPC & IT Systems Engineer to be the IT expert for our office in Ottawa, Ontario. This key role ensures seamless remote access for world-class…
Added 4 months ago
C
Apps Development Sr Manager - Vice President
Citi
Mississauga, Ontario
- Full-time
A senior-level position responsible for accomplishing results by designing, implementing, and managing the firm's engineering platforms, with a focus on CI/CD, container orchestration, and…
Added 4 months ago
C
Apps Development Sr Manager - Vice President
Citi
Remote, Canada
- Full-time
- Remote
The Applications Development Senior Manager is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised…
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…

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.

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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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