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Full Stack Data Engineer Jobs in Ontario (NOW HIRING)

Adaria Vending Services Limited

Full Stack Software Engineer Adaria Technology Innovations - Concord, ON (On-site) Adaria Technology Innovations is looking for a Full Stack Software Engineer to join our growing team in Concord ...

Canada Coaster

Full Stack Engineer

Dundas, ON · On-site

As Full Stack Engineer, you'll be reporting to the IT Manager, and be part of the IT team that is responsible for maintaining and extending current systems along with the development of new modules ...

Finlink Group

Staff Full-Stack Engineer - .NET, React & AI Location: Vaughan Set-up: In-Office Are you a highly ... select the appropriate data store based on workload. * Experience building event-driven ...

Finlink Group

Staff Full-Stack Engineer - .NET, React & AI Location: Vaughan Set-up: In-Office Are you a highly ... select the appropriate data store based on workload. * Experience building event-driven ...

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Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Ontario

Full Stack Data Engineer information

See Ontario salary details

$80.5K

$118.3K

$174K

How much do full stack data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for full stack data engineer in Ontario is $118,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $122,500.00 per year, depending on experience, location, and employer.

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 Ontario?

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

What job categories do people searching Full Stack Data Engineer jobs in Ontario look for?

The top searched job categories for Full Stack Data Engineer jobs in Ontario are:

What cities in Ontario are hiring for Full Stack Data Engineer jobs?

Cities in Ontario with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,337 per year, or $56.9 per hour.

Full Stack Software Engineer

On-site

Adaria Vending Services Limited
See more jobs at Adaria Vending Services Limitedexternal

Full-time

Re-posted 19 days ago

Job description

Full Stack Software Engineer

Adaria Technology Innovations – Concord, ON (On-site)

Adaria Technology Innovations is looking for a Full Stack Software Engineer to join our growing team in Concord, Ontario. In this role, you will help design, build, deploy, and support software systems that power the future of unattended retail and connected payment technologies.

You’ll work across the full development lifecycle — from requirements gathering and architecture design to deployment and ongoing support — while contributing clean, scalable, and testable code in a collaborative engineering environment.

We’re looking for someone with strong technical fundamentals, curiosity, and a passion for solving real-world problems through software.

What You’ll DoDesign & Develop
  • Design, develop, test, and deploy scalable full stack applications and services
  • Build modern web applications using React, Vite, and C#/.NET
  • Develop and maintain APIs, backend services, and cloud-based infrastructure on AWS
  • Translate business and customer requirements into technical solutions
  • Write clean, maintainable, and well-documented code
  • Evaluate system architecture, technical constraints, and future scalability
  • Participate in code reviews, testing, debugging, and quality assurance processes
  • Contribute to continuous improvement of development practices and workflows
Collaborate & Support
  • Work closely with customers, project stakeholders, and internal engineering teams
  • Communicate technical concepts clearly to both technical and non-technical audiences
  • Troubleshoot issues and provide ongoing system maintenance and support
  • Assist in delivering projects on time and within scope
  • Collaborate in an Agile development environment
Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field preferred
  • 2+ years of professional software development experience
  • Experience developing applications using:
    • C# / .NET
    • React
    • Vite
    • AWS cloud services
  • Experience building RESTful APIs and modern web applications
  • Familiarity with Git version control, CI/CD pipelines, and deployment workflows
  • Strong problem-solving and analytical skills
  • Excellent communication and time management abilities
Nice-to-Have Skills
  • Experience with unattended retail, IoT, or embedded systems
  • Knowledge of vending industry protocols such as MDB and DEX
  • Familiarity with remote telemetry platforms
  • Experience with:
    • Docker or containerized deployments
    • PostgreSQL, SQL Server, or NoSQL databases
    • Jira and Agile/Scrum workflows
  • Understanding of scalable cloud architecture and distributed systems
Why Join Adaria?

Adaria is transforming unattended retail by integrating smart payment technology, mobile connectivity, and intelligent software into every machine we touch.

This is an opportunity to work on technology that directly impacts how consumers interact with physical retail in a rapidly evolving digital environment. You’ll join a team that values innovation, ownership, and practical problem-solving while helping redefine convenience for the modern consumer.

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