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

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 ...

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 ...

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 ...

Senior Full Stack Engineer

Toronto, ON ยท Remote

$125K - $155K/yr

Description: Our client is seeking a Senior Full-Stack Engineer to play a key role in designing ... Build scalable APIs, data models, and backend services that support high-performance applications ...

We protect how people, data, and AI agents connect across email, cloud, and collaboration tools ... full-stack Software Engineer III on our Satori AI Platform team, you will be building the ...

We protect how people, data, and AI agents connect across email, cloud, and collaboration tools ... full-stack Software Engineer III on our Satori AI Platform team, you will be building the ...

Showing results 21-40

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 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:

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.

Software Engineer, Full Stack

Basetwo

Toronto, ON โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life

Re-posted 7 days ago


Job description

Basetwo provides manufacturing engineers with a low code AI platform that helps them troubleshoot and optimize their production processes to increase efficiency and reduce waste. Manufacturing engineers can use the Basetwo platform to:

  • Improve their understanding of their plant
  • Make better decisions in real-time
  • 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 maintain a close working relationship with our product and design teams to bring about the best-in-class experience for our users and then implement them in a modular, scalable manner.

What You'll Do

  • Spec and build product features that are beautiful and earn the trust of our customers through predictability and reliability.
  • Work at all levels of the stack, from AWS, Python and Postgres to React, HTML and CSS to build and maintain end to end features.
  • Participate in regular design meetings
  • Build tools to automate processes and increase productivity for your team
  • Advocate for best practices to other engineers

Requirements

What You'll Need

You are excited about working with the latest JS frameworks and always eager to learn and try new things. You take the initiative to propose changes and improvements and can communicate your ideas in the right way. You have a strong bias towards elegant and simple solutions that drive direct value to the users.

  • 5+ years of software development experience with modern full-stack web development.
  • Fluent in one or more backend and frontend technologies and have an interest working with JavaScript, React and Python
  • Knowledge of HTML, CSS, and CSS frameworks
  • Production experience with SQL and database design using PostgreSQL, MySQL or similar
  • Strong knowledge of service oriented architectures
  • Strong sense of ownership and focus on long-term usability and extensibility

Bonus:

  • Experience working with AWS
  • Proficient in React and Python
  • Have a startup mentality: team player, self-motivated, high-integrity, pragmatic, resourceful, can execute under pressure

Benefits

Benefits
  • Extended Healthcare Plan (Medical, Disability, Dental & Vision)
  • Work From Home - Flexible hours
  • Stock Option Plan
  • Group Life - AD&D - Critical Illness Insurance
  • Co-working Space available in Toronto & Vancouver