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.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 platformAnalyze and reverse‐engineer client systems, source data structures, and business processes to define integration approachesDevelop transformation logic, mapping rules, reconciliation processes,



and validation workflows for complex utility and enterprise datasetsContribute to the design and implementation of AI‐assisted and metadata‐driven integration development frameworksWork with agentic workflows, reusable AI skills, metadata models, and automation pipelines to accelerate integration developmentDevelop integration logic using Python, PySpark, SQL, and cloud‐native data processing frameworksSupport deployment and orchestration of ETL workloads within AWS‐based infrastructure environmentsImplement data quality, validation, monitoring, reconciliation, and error‐handling processes across integration workflowsCollaborate with product, delivery, customer, and engineering teams to define data contracts, transformation requirements, and integration standardsDocument integration logic, business rules, workflows, and architectural decisionsParticipate in architectural planning and contribute to long‐term modernization of the company's integration ecosystemAssist with project estimation, implementation planning, technical discovery, and stakeholder communicationWork 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 rolesStrong hands‐on experience with Python and SQL for data transformation and pipeline developmentExperience working with modern cloud‐based data processing and orchestration environmentsStrong understanding of relational data modeling, dimensional modeling, CDC concepts, ODS/data marts, and data warehousing principlesExperience developing transformation rules, reconciliation logic, mapping logic, and data validation frameworksStrong understanding of data profiling, pattern recognition, natural keys vs surrogate keys, and reference/lookup data managementExperience working with APIs,



flat files, databases, and event‐driven integration patternsComfortable using AI‐assisted development tools to generate, review, and refine technical artifacts and codeUnderstanding of modern AI terminology and concepts such as agents, agentic workflows, metadata‐driven processing, reusable skills, hooks, and orchestration patternsFamiliarity with AWS cloud services and distributed data processing conceptsStrong analytical, troubleshooting, and system discovery skillsExcellent communication, documentation, and stakeholder collaboration abilitiesAbility to work independently in a rapid‐paced and evolving technical environmentNice to Have:Experience with PySpark, Apache Spark, EMR, Databricks, or distributed processing frameworksExperience with orchestration and workflow toolsExperience with event‐driven architectures and messaging platformsFamiliarity with DevOps and CI/CD practices for data pipelinesExposure to AI/LLM‐assisted software development workflowsExperience mentoring developers or helping establish technical standards and best practicesExperience working within utility, critical infrastructure, or industrial analytics environmentsWhat success looks like:Successfully onboard and modernize complex client data integrationsHelp establish repeatable, scalable integration development standardsContribute to the evolution of AI‐assisted ETL development capabilitiesImprove integration delivery speed, quality, observability, and maintainabilityAct as a trusted technical contributor across integration, analytics, and platform initiativesWhat We Offer:Opportunity to work on advanced AI‐assisted integration and analytics platformsDirect impact on the architecture and future direction of the company's data platformHigh level of ownership, autonomy, and technical influenceCompetitive compensation and benefitsCollaborative and technically strong engineering cultureFlexible Hours – Work around a core schedule (10:00 AM – 3:00 PM) while maintaining a work‐life balance that suits youAutonomy & Growth – Take ownership of diverse responsibilities, explore cross‐disciplinary opportunities, and advance your career in a dynamic, fast‐growing company #J-18808-Ljbffr

📌 Senior Integrations Developer / Ai Data Integration Engineer (Mississauga)
🏢 Engineered-Intelligence-Inc.-1
📍 Mississauga