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Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs, a technology outsourcing company, is hiring a Senior Data Engineer to collaborate with a Canadian financial-sector client. Day to day: designing Snowflake data models, building dbt ELT pipelines and Dagster/Airflow orchestration, writing Python/SQL, and managing AWS/Azure infra with Terraform and GitHub Actions CI/CD.
Principal Data Engineer
Principal Data Engineer at Tangerine (Scotiabank's digital bank) in Toronto: leads the design and hands-on build of a new data engineering platform enabling business analytics and production AI/ML. Core focus on data pipelines, warehousing, and cloud platforms (GCP, AWS, Azure), plus technical leadership and mentoring.
Senior Data Engineer Toronto
Senior Data Engineer owning Clutch's end-to-end data platform at Canada's largest online used-car retailer — building reliable ELT pipelines, warehouse models, and DevOps/observability practices with Snowflake, dbt, Airflow, Python, and AWS to power analytics, pricing, and financial services. Hybrid role, three days a week in downtown Toronto.
MLOps / Data Engineer
MLOps/Data Engineer on Triton Digital's listener data team, productionizing machine learning for audio-advertising audience signals: building CI/CD pipelines for ML workflows, optimizing large-scale data processing with Apache Spark, and managing Databricks environments. Core stack is Python, Spark, Databricks, and cloud platforms. Must be based in Ontario or Quebec.
Senior Data Engineer
Senior Data Engineer on Ipsos' DataHub team in Vancouver: builds, optimizes, and troubleshoots cloud-based serverless data pipelines and warehouses for large-scale datasets, using Python, SQL, and GCP (BigQuery, GCS) with some AWS, and drives code migrations to production. Salary CAD 100k-110k.
Data Engineer
ML/AI-focused data engineer who designs, trains, validates, and deploys machine learning models, builds supporting data pipelines, and runs end-to-end MLOps workflows in cloud environments. Core stack: Python, TensorFlow/PyTorch/Scikit-Learn, SQL, and AWS/GCP.
Lead Data Engineer
Lead Data Engineer on Ipsos' DataHub team in Vancouver: architect, design, and operate cloud-based serverless data pipelines and warehouses on GCP (BigQuery, GCS) for large-scale datasets, while providing hands-on technical leadership, mentoring, and SRE-style production reliability for the data platform.
AI Fullstack Engineer (Senior Associate)
Senior full-stack engineer on an AI consulting team building enterprise-ready applications end to end: React/TypeScript frontends, Python (FastAPI/Django/Flask) backends and APIs, deployed on Azure/AWS with Docker, Kubernetes, and CI/CD. Uses agentic coding tools like Cursor and Claude Code; remote anywhere in Canada with occasional travel.
Staff Fullstack Engineer
Staff fullstack engineer on Treasure Data's Realtime/Personalization team, building the Treasure AI Personalization Studio and RT2.0 realtime personalization engine end-to-end: React frontends plus backend APIs and distributed services (Ruby/Go/Java/Kotlin preferred) on cloud, with heavy AI-assisted development. Hybrid role based in the Vancouver, BC office.
Fullstack Technical Lead Lending Platforms
Lead fullstack engineering for commercial lending and asset finance platforms in Toronto, balancing hands-on coding with technical direction, mentoring engineers, and overseeing cloud-native deployments. Core stack: Java/Spring Boot, Python, and TypeScript on AWS with Kubernetes, Terraform, and Oracle Database.
Senior Associate AI Fullstack Engineer
Senior full-stack engineer who builds enterprise AI applications end to day: React/TypeScript frontends, Python services and APIs (FastAPI, Django, or Flask), and secure Azure/AWS cloud integrations, with DevOps/CI-CD, Agile delivery, and collaboration with AI engineers, architects, and client teams.
Remote AWS DevOps Engineer | Kubernetes, CI/CD, Terraform
Builds new features and improves systems across Newrich Network's infrastructure stack — Kubernetes, Docker, Terraform and AWS — optimizing deployment workflows, monitoring, and documentation in a fast-growing, remote-first team.
Full Stack Engineer
Junior-friendly Full Stack Engineer at CANImmunize, a Canadian digital health company building immunization platforms for public health teams. Fully remote within Canada; you'd ship front-end and back-end features using TypeScript, React, and Node.js, write automated tests, and grow through code reviews, pairing, and mentorship.
Full Stack Engineer
Full-stack engineer at a Toronto software solutions firm building fintech products: designing Java-based web applications and REST/gRPC APIs, working with databases and cloud/container tooling, and taking part in testing, releases, and code reviews while mentoring junior team members.
Senior Full Stack Engineer New Vancouver, British Columbia, Canada
Senior full-stack engineer building product features for Workstream's all-in-one HR, payroll, and hiring platform for the hourly workforce. Hybrid Vancouver role (2 office days/week) focused on scalable distributed systems, SQL/NoSQL databases, caching, AWS, and TDD; Next.js experience is a plus.
Full Stack Engineer
Full Stack Engineer building and owning features on Contentu's AI-first platform, working across React/TypeScript frontends, GraphQL APIs, and Node.js/NestJS backend services backed by PostgreSQL, Redis, and Kafka. Requires 5-7 years of experience and exposure to AI APIs like OpenAI and Gemini.
Senior Node.js Full-Stack Developer
Senior full-stack developer at MSCP Heat Management Solutions in Sherwood Park, Alberta, independently owning the company's internal Resource Management System (scheduling, staffing, competency, travel, lodging, reporting). Day-to-day spans feature delivery, database maintenance, deployments, and production support using Node.js, PostgreSQL, Prisma, AWS, Docker, and CI/CD.
Senior Full-Stack Developer – Resource Management System
Senior full-stack developer at MSCP, an industrial heat-management services firm, independently owning an internal Resource Management System for personnel/equipment scheduling, competency tracking, and reporting — building features and fixing production issues with Node.js, PostgreSQL/Prisma, and React, deployed on AWS via Docker, GitLab CI/CD, and Terraform.
DevOps Release Platform Consultant
DevOps consultant with CGI designing and maintaining CI/CD pipelines and automating cloud and hybrid infrastructure using Terraform, AWS/Azure/GCP, Docker and Kubernetes. Day-to-day covers release management, monitoring and observability, compliance, and production support for mission-critical platforms across Atlantic Canada hybrid offices.