{"id":2464542,"url":"https://alion.io/job/engineered-intelligence-senior-integrations-developer-ai-data-integration-engineer","title":"Senior Integrations Developer / AI Data Integration Engineer","company":{"id":4421858,"name":"Engineered Intelligence","domain":"engineeredintelligence.com","url":"https://alion.io/company/engineeredintelligence","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mississauga, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":117000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":62},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"LLM","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-06-09T00:00:00Z","employer_posted_date":"2026-06-09","last_verified_at":"2026-10-14T08:46:44Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":127},"description":"Our Business:\nEngineered 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.\nAs 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.\nOur core values include:\nTeamwork - 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.\n\nCustomer 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.\nInnovation - 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.\n\nOwnership - We take initiative, follow through, and hold ourselves accountable. From the smallest detail to the biggest decision, we own the outcome.\nThe Position:\nWe are looking for an experienced and hands-on Senior Integrations Developer / AI Data Integration Engineerto 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.\nYou 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.\nThe 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.\nThis 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.\nKey Responsibilities:\nDesign, build, and maintain scalable ETL/ELT pipelines for onboarding external client data into the ENGIN analytics platform\nAnalyze and reverse-engineer client systems, source data structures, and business processes to define integration approaches\nDevelop transformation logic, mapping rules, reconciliation processes, and validation workflows for complex utility and enterprise datasets\nContribute to the design and implementation of AI-assisted and metadata-driven integration development frameworks\nWork with agentic workflows, reusable AI skills, metadata models, and automation pipelines to accelerate integration development\nDevelop integration logic using Python, PySpark, SQL, and cloud-native data processing frameworks\nSupport deployment and orchestration of ETL workloads within AWS-based infrastructure environments.\nImplement data quality, validation, monitoring, reconciliation, and error-handling processes across integration workflows\nCollaborate with product, delivery, customer, and engineering teams to define data contracts, transformation requirements, and integration standards\nDocument integration logic, business rules, workflows, and architectural decisions\nParticipate in architectural planning and contribute to long-term modernization of the company’s integration ecosystem\nAssist with project estimation, implementation planning, technical discovery, and stakeholder communication\nWork location:\nWe 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.\nSkills & Qualifications:\n5+ years of experience in ETL development, data integration, data engineering, or related roles\nStrong hands-on experience with Python and SQL for data transformation and pipeline development\nExperience working with modern cloud-based data processing and orchestration environments\nStrong understanding of relational data modeling, dimensional modeling, CDC concepts, ODS/data marts, and data warehousing principles\nExperience developing transformation rules, reconciliation logic, mapping logic, and data validation frameworks\nStrong understanding of data profiling, pattern recognition, natural keys vs surrogate keys, and reference/lookup data management\nExperience working with APIs, flat files, databases, and event-driven integration patterns\nComfortable using AI-assisted development tools to generate, review, and refine technical artifacts and code\nUnderstanding of modern AI terminology and concepts such as agents, agentic workflows, metadata-driven processing, reusable skills, hooks, and orchestration patterns\nFamiliarity with AWS cloud services and distributed data processing concepts\nStrong analytical, troubleshooting, and system discovery skills\nExcellent communication, documentation, and stakeholder collaboration abilities\nAbility to work independently in a fast-paced and evolving technical environment\nNice to Have:\nExperience with PySpark, Apache Spark, EMR, Databricks, or distributed processing frameworks\nExperience with orchestration and workflow tools\nExperience with event-driven architectures and messaging platforms\nFamiliarity with DevOps and CI/CD practices for data pipelines\nExposure to AI/LLM-assisted software development workflows\nExperience mentoring developers or helping establish technical standards and best practices\nExperience working within utility, critical infrastructure, or industrial analytics environments\nWhat success looks like:\nSuccessfully onboard and modernize complex client data integrations\nHelp establish repeatable, scalable integration development standards\nContribute to the evolution of AI-assisted ETL development capabilities\nImprove integration delivery speed, quality, observability, and maintainability\nAct as a trusted technical contributor across integration, analytics, and platform initiatives\nWhat We Offer:\nOpportunity to work on advanced AI-assisted integration and analytics platforms\nDirect impact on the architecture and future direction of the company’s data platform\nHigh level of ownership, autonomy, and technical influence\nCompetitive compensation and benefits\nCollaborative and technically strong engineering culture\nFlexible Hours- Work around a core schedule (10:00 AM - 3:00 PM) while maintaininga work-life balance that suits you.\nAutonomy & Growth- Take ownership of diverse responsibilities, explore cross-disciplinary opportunities, and advance your career in a dynamic, fast-growing company.","description_format":"text","description_chars":7945,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T18:13:30Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.262,"p_room":0.28,"age_days":127,"expected_fill_days":23,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/engineered-intelligence-senior-integrations-developer-ai-data-integration-engineer","json_url":"https://alion.io/job/engineered-intelligence-senior-integrations-developer-ai-data-integration-engineer.json","meta":{"generated_at":"2026-10-14T10:42:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12561,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4421858},"rest":"https://alion.io/mcp/rest/get_company?id=4421858"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fengineered-intelligence-senior-integrations-developer-ai-data-integration-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fengineered-intelligence-senior-integrations-developer-ai-data-integration-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fengineered-intelligence-senior-integrations-developer-ai-data-integration-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/engineered-intelligence-senior-integrations-developer-ai-data-integration-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fengineered-intelligence-senior-integrations-developer-ai-data-integration-engineer"}]}