1

Full Stack Data Engineer Jobs in Ontario (NOW HIRING)

\n \n \n \n \n The successful Senior Full Stack Developer will assume ownership for a diversity of greenfield projects and mentor junior developers. \n \n \n \n \n \n This role will involve adding new ...

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... select the appropriate data store based on workload. * Experience building event-driven ...

New

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... select the appropriate data store based on workload. * Experience building event-driven ...

New

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... select the appropriate data store based on workload. * Experience building event-driven ...

New

Data and Performance at Scale Design and optimize relational data models and SQL queries that ... in full stack or backend-heavy roles. * Deep expertise in C# and ASP.NET, with a strong track ...

We are seeking a talented Full Stack Engineer to design, build, and maintain scalable applications ... You will work across the entire technology stack -front-end, back-end, infrastructure, and data ...

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... select the appropriate data store based on workload. * Experience building event-driven ...

New

You will have hands on commercial experience as a Full Stack engineer working with the following: \n \n \n * Core Java & Java EE \n * JavaScript \/ TypeScript \n * ReactJS OR VueJS \n * CSS4 & HTML5 ...

Showing results 41-60

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 Aug 21, 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:

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.

Staff Full-Stack Engineer .NET, React & AI

Finlink Group

Maple, ON • On-site

Full-time

Medical, Dental, Vision

Posted yesterday

New


Job description

Staff Full-Stack Engineer – .NET, React & AI

Are you a highly experienced full-stack engineer who thrives on solving complex technical challenges and delivering production-ready solutions at speed? We are seeking a Staff Full-Stack Engineer – .NET, React & AI to play a key role in building an AI-driven engineering platform where innovation, ownership, and technical excellence are at the heart of everything.

The successful candidate will be responsible for designing, building, and delivering product features end-to-end while helping shape a highly scalable, AI-centric platform that powers multiple brands from a shared technology foundation.

About the Role

As a Staff Full-Stack Engineer – .NET, React & AI, you will take ownership of product delivery from concept through to production. You'll work across the full technology stack, leveraging AI coding agents and modern engineering practices to accelerate delivery without compromising quality. This role combines hands-on software development, technical leadership, systems architecture, and platform engineering in a fast-paced environment where autonomy and accountability are highly valued.

Key Responsibilities
  • Own the end-to-end delivery of product features, including design, development, testing, verification against acceptance criteria, and production deployment.
  • Build and maintain third-party and B2B integrations, delivering customer- and brand-specific functionality on top of a shared, scalable platform.
  • Leverage AI coding agents and automated verification tools to improve development speed while maintaining engineering quality standards.
  • Design, build, and operate highly available, high-performance distributed systems.
  • Establish technical patterns, mentor through example, and remove technical roadblocks across multiple concurrent workstreams.
  • Monitor production environments, investigate issues, and continuously improve platform reliability, observability, and deployment processes.
Skills & ExperienceTechnical Expertise
  • Extensive commercial experience delivering production-grade, full-stack applications.
  • Strong expertise in .NET / C#, RESTful API development, and Next.js / React, including server-side rendering and real-time streaming using Server-Sent Events (SSE).
  • Proven experience designing and operating highly available, high-throughput systems at scale.
  • Hands-on experience with MongoDB, PostgreSQL, and Redis, with the ability to select the appropriate data store based on workload.
  • Experience building event-driven architectures using Apache Kafka or similar event hub technologies, including producer/consumer patterns, schema design, and real-time data processing.
  • Demonstrated experience designing and delivering third-party and B2B API integrations.
  • Strong understanding of API security, including OAuth authentication, HMAC request signing, idempotency, replay protection, and audit logging.
  • Practical experience using AI-assisted development tools and coding agents to improve engineering productivity.
  • Experience with production monitoring, observability, CI/CD pipelines, and issue triage using tools such as Sentry or equivalent.
Delivery & Leadership
  • Proven ability to deliver high-quality software within demanding timelines while balancing speed and quality.
  • Comfortable managing multiple priorities across concurrent workstreams.
  • Demonstrated ownership of projects from ambiguous requirements through to successful production delivery.
  • A proactive, solutions-focused mindset with the confidence to make informed decisions, navigate uncertainty, and independently drive outcomes.
What's on Offer
  • Exposure to cutting-edge AI and automation technologies that are reshaping modern engineering and business operations.
  • The opportunity to work on genuinely challenging projects using modern tools and technologies.
  • A collaborative, high-performing environment where innovation, accountability, and technical excellence are recognized and rewarded.
  • Clear opportunities for professional growth and career progression as the organization continues to scale.
  • Competitive salary with a discretionary bonus.
  • Comprehensive health benefits, including extended healthcare, dental, and vision coverage.
  • On-site leisure facilities to help you recharge throughout the day.
  • Regular company events that celebrate success and foster team connection.
  • On-site parking for added convenience.

If you're an engineer who enjoys taking ownership, solving complex problems, embracing emerging AI technologies, and building systems that operate at scale, this is an opportunity to make a meaningful impact while working alongside talented professionals who value innovation, collaboration, and continuous improvement.