Data Engineer Jobs in Ontario, Canada

Genesys empowers organizations to improve loyalty and business outcomes through its AI-powered Experience Orchestration platform. As Lead Data Engineer on the Cloud Analytics team, you will design, build, and operate large-scale EMR pipelines using Spark and Airflow on AWS, driving scalable, reliable data products that shape customer experiences.

Enterprise Data Intelligence (EDI) division at Motorola Solutions builds and operates the centralized data warehouse and Tableau ecosystem to enable safer communities. The Principal Architect & Data Engineer leads the design of a high‑performance Lakehouse, data mesh governance, and AI‑enabled retrieval‑augmented generation platforms, mentoring engineers and presenting roadmaps to senior leadership.

Data Engineering team at Ness Digital Engineering focuses on modernizing data platforms and enabling enterprise analytics. The Lead Data Analyst will analyze Netezza tables, assess migration to Azure, create data lineage and metadata documentation, and develop SQL and Python solutions for data validation and transformation.

Agentic Data Specialist (Multiple Levels) is a role within Salesforce’s Forward Deployed Engineering Team focused on designing, building, and managing data and integrations that enable AI agents to act autonomously across enterprise systems. The specialist will manage real‑time data flow, architect AI grounding systems using RAG, vector databases, and knowledge bases, orchestrate multi‑agent communication protocols, and ensure secure, scalable integration patterns with Salesforce and external applications.

Automated Marketing engineering team at Warner Music Group builds internal tools and pipelines that leverage AI/ML to solve complex marketing challenges. The manager leads a full‑stack team—data engineering, Python backend, and React front‑end—designing and delivering greenfield projects while mentoring engineers and shaping technical strategy.

Autodesk is leading the transformation of the Architecture, Engineering, and Construction (AEC) industry by embedding advanced AI and foundation models into its cloud-native platforms such as AutoCAD, Revit, Construction Cloud, and Forma. The Senior Principal Machine Learning Engineer, Foundational Models will serve as a technical leader and delivery owner for high‑impact ML initiatives across foundation models, reinforcement learning, data systems, and large‑scale ML platforms.

Data Engineering team at Ness builds analytics platforms for enterprise clients. The Power BI Developer designs, develops, and maintains interactive dashboards, data models, and reporting frameworks while collaborating with business users and data engineers.

Principal Marketing Analytics Manager at Greenhouse drives the analytics strategy for the entire marketing organization, building automated dashboards in Snowflake and Tableau, auditing spend across attribution models, and leading executive QBRs. The role partners with Demand Gen, Content, Brand, Revenue Analytics, Data Engineering, and Finance to create a single source of truth and empower teams with AI-powered intelligence bots.

Tiger Analytics is an advanced analytics consulting firm trusted by Fortune 100 companies. We deliver business value through Data Science, Machine Learning, and AI, recognized by Forrester and Gartner.

Senior AI Solutions Architect at Modaxo leads AI/ML strategy across portfolio companies. Designs production‑grade AI/ML solutions, builds end‑to‑end MLOps pipelines, and optimizes models for latency, resource usage, and compliance.

Data Platform Reliability Team at Hyve Solutions ensures high availability and performance of hybrid data warehouse environments. The SRE manages Hive, Hadoop, ClickHouse, and Vertica platforms, monitors system health, automates operations, and supports ETL pipelines and cloud integrations.

Data Migrations team at Greenhouse builds seamless data transfer pipelines that bring legacy recruiting data into our platform. The engineer writes Python scripts, uses Pandas and Jupyter to transform large datasets, and collaborates with customers, implementations, and R&D to iterate test imports.

Mindrift's Tendem project blends AI agents with human expertise to unlock generative AI potential. As a Python Data Scraping Engineer you will design, implement and maintain end‑to‑end web extraction workflows, validate and structure large datasets, and ensure reliability across dynamic sites.

Tendem project at Mindrift builds a hybrid AI‑human system that connects specialists with generative AI initiatives. The Python Data Scraping Engineer designs and runs end‑to‑end web extraction workflows, leverages internal tools like Apify and OpenRouter, and ensures high‑quality structured datasets for AI agents.

Engineering – Data Science at Warner Music Group builds data-driven insights that power artist growth and fan engagement. The Data Scientist translates billions of streaming signals into predictive models for audience behavior, commercial performance, and marketing impact, collaborating with affiliates, labels, and merchandising teams.

Assistant Surveyor supports land and construction surveying, collecting, recording, and analyzing data for engineering projects. Works with surveyors, engineers, and construction teams to ensure accurate measurements, site layout, and compliance with safety and project specifications.

Shaft Technician provides survey control for construction of surface and underground facilities, infrastructure, and excavations. Responsible for installing and maintaining control points, updating as-built and planning drawings, and coordinating survey requirements with project supervision, contractors, and clients.

The Staff ML Platform Engineer will develop and enhance the core infrastructure for Afresh's machine learning solutions. This role focuses on improving performance, reliability, and scalability of the ML platform, enabling faster innovation and impact.

Dimensional Data Team at Warner Music Group builds and delivers dimensional data on artists, albums, and tracks to empower business decisions. The Senior Software Engineer designs, implements, and maintains APIs, data pipelines, and front‑end tools, driving high‑quality, scalable solutions across the music ecosystem.

Data Ingestion Team builds and operates the critical front‑door infrastructure for StackAdapt’s event flow, processing over 10 billion events daily to power bidding, reporting, billing, analytics and machine learning. The role leads large‑scale technical initiatives, designs and operates low‑latency distributed ingestion services, and partners across Data, ML, Product and Platform teams to ensure real‑time data quality and reliability.