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Full Stack Data Engineer Jobs in Toronto, ON (NOW HIRING)

Basetwo

Software Engineer, Full Stack

Toronto, ON · On-site +1

Build robust data transformation pipelines * Ingest and connect siloed databases The Role As a Full Stack Engineer, you will be working on one or more of our new product initiatives. You will ...

Chubb

Senior Full Stack Engineer

Toronto, ON · On-site

Senior Full-Stack Engineer, AI Platform The Opportunity Chubb's AI Platform team is building an ... Async data patterns - REST, Server-Sent Events, streaming responses, and observable/promise-based ...

1Valet

Senior Full-Stack Developer

Toronto, ON · Remote

NET (C#) backend services, APIs, and integrations Work with MS/Azure SQL for data modelling ... Full-Stack Developer Strong hands-on experience with: Angular .NET / C# (Web APIs, services) MS ...

Big Viking

Senior Full Stack Engineer, AI

Toronto, ON · On-site

Data models, APIs, queues, orchestration layers, and UI surfaces that support repeatable workflows ... Candidates with strong full stack engineering experience, production AI or agentic workflow ...

New

Pinterest

Software Engineer II, Full Stack

Toronto, ON · On-site

We are looking for inquisitive, well-rounded Full-stack engineers to join our Core or Monetization ... Javascript, React, API, storage, caching and data processing * Experience in following best ...

Mattermost

Staff Full Stack Engineer

Toronto, ON · On-site +1

CA$195K - CA$238K/yr

We are seeking a Staff Full Stack Engineer to set the technical direction for and scale Mattermost ... S. based employees working on covered technical data. For more information, visit the Bureau of ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Toronto, ON

Full Stack Data Engineer information

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Toronto, ON?

For Full Stack Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Full Stack Data Engineer jobs in Toronto, ON are:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Full-Stack AI Engineer

Toronto, ON • Hybrid

Appnovation Technologies
See more jobs at Appnovation Technologiesexternal

Full-time

Medical

Posted 16 days ago

Job description

About the Role

As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias toward frontend development, you specialize in the critical early stages-from concept through pre-totype to prototype-where design systems meet AI-augmented development. You're an expert at leveraging tools like v0.dev, bolt.new, and Lovable to rapidly generate components, then building out the complete stack to meet enterprise standards for accessibility, performance, responsive design, and scalability. You must be able to think fast, work outside the box, and have a passion for pushing the boundaries of what AI can achieve. You will join a team that thrives on experimentation, moving at a rapid pace from initial concepts through prototypes to production-ready applications.

Key Responsibilities

  • Rapidly transform concepts into interactive prototypes using v0.dev, bolt.new, Lovable, and similar AI design tools.
  • Build full-stack applications from prototype to production, with emphasis on frontend excellence and solid backend foundations.
  • Ensure all components align with existing design systems (design tokens, color palettes, typography, spacing) and brand guidelines.
  • Develop production-ready UI components using modern frameworks (React.js, Vue.js, Nuxt.js) with best practices for accessibility, performance, and responsive design.
  • Design and implement RESTful APIs and backend services using platforms like Supabase to support frontend functionality.
  • Work with databases (SQL and NoSQL) to manage application data efficiently.
  • Implement authentication, caching strategies, and optimize application performance across the stack.
  • Collaborate with UX Designers, AI Builders, and Innovation Leads throughout the development lifecycle.
  • Utilize GitHub Spec-kit and/or Open Spec to streamline development workflows and maintain specification standards.
  • Leverage Figma and design system tooling to maintain component libraries and streamline design-dev handoff.
  • Document design decisions and technical implementation in Jira as part of the ticket-driven workflow.

Qualification

  • 4+ years in full-stack development with strong frontend expertise in modern UI frameworks (React.js, Vue.js, Nuxt.js). Bonus points if you have experience working in a startup or rapid prototyping environment.
  • Proven experience with PHP and Python.
  • Desired experience with NodeJS and Express.
  • Proven hands-on experience with AI design tools such as v0.dev, bolt.new, Lovable, or similar platforms.
  • Experience with Spec driven development like GitHub Spec-kit and Open Spec.
  • Experience with workflow automation platforms such as N8N.
  • Strong track record of delivering production-grade full-stack applications.
  • Solid understanding of backend development, including API design (REST, GraphQL), server-side logic, and database management.
  • Experience with platforms like Supabase for rapid backend development and both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
  • Proficiency with authentication mechanisms (OAuth, JWT) and security best practices.
  • Understanding of caching strategies, performance optimization, and scalability patterns.
  • Deep understanding of design systems, design tokens, and component-driven development.
  • Expert-level proficiency with Figma, including design system management and component libraries.
  • Experience with CSS frameworks (e.g. TailwindCSS) and modern styling approaches.
  • Strong collaboration and creative problem-solving skills.
  • Experience with TypeScript and modern JavaScript/ES6+ features.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and deployment workflows.
  • A portfolio showcasing full-stack applications you've built, including work with design systems and AI design tools.
  • Strong attention to detail and a passion for innovation.
  • Ability to work in a fast-paced and dynamic environment.

What Appnovation Offers

  • Challenging and rewarding work with real impact
  • Growth opportunities for personal and professional development
  • Exposure to exciting projects and high-profile clients
  • Supportive work environment with access to company leaders
  • Hybrid working model

Here are a few more reasons why you should apply:

  • Work-life Balance
  • Lots of opportunities for personal and professional growth
  • Health Benefits Package
  • Mental Health Support
  • Personal Days Off
  • Fertility and Menopause Leave
  • Fitness Allowance
  • D,E&I Initiatives
  • And much more...
 

Apply