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Full Stack Data Engineer Jobs in Ontario (NOW HIRING)

Quantiphi, Inc.

Full Stack Developer

Toronto, ON · Remote

... and data engineering practices, and cutting-edge applied AI research. Our work is rooted in ... Role: Full Stack Software Developer Experience Level: 5-10 yrs Work Location: US East/Canada ...

hireVouch

Full Stack Engineer

Toronto, ON

Full Stack Engineer We are seeking a skilled Full Stack Engineer to join our dynamic team, focusing ... Utilize PostgreSQL (backend) and Firestore (web app) for effective data modeling and queries.

Machina Labs

Full Stack Engineer

Chatsworth, ON · On-site

CA$130K - CA$150K/yr

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems ... Background in building real-time data visualization or monitoring dashboards. * Interest in the ...

Td

Sr. Full Stack Data Science Engineer

Toronto, ON

CA$154K - CA$199K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business process owners. * Provide subject-matter expertise, mentorship, and guidance on advanced analytics and ...

TaliPay, Inc.

Full Stack Product Engineer

Toronto, ON · On-site

As a Full Stack Product Engineer, you will be responsible for developing, co-designing and ... Must be able to write data migrations to change the database system while still maintaining ...

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myAbode Inc

Senior Full Stack Engineer

Toronto, ON · On-site

Role Overview We're looking for a Senior Full Stack Engineer who is excited to build products in a ... The data exists. The intent exists. The technology exists. And we're the team doing it. We're not ...

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 ...

TAME Search Inc.

Full Stack Developer

Toronto, ON

Our Client is a data management and risk assessment startup, looking for a dedicated Full Stack Developer to join an experienced team of engineers and data analysts who are helping shape the future ...

Invictus Direct

Senior Full Stack Engineer

Toronto, ON · 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 ...

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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 ...

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Showing results 1-20

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 Jul 1, 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 engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 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.
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:
Full Stack Data Engineer jobs near you
Full Stack Engineer

Full Stack Engineer

ZoomInfo Technologies LLC

Toronto, ON • Remote

Other

Posted 11 days ago

Job description

As a Full Stack Engineer on the Conversation Intelligence team, you'll be at the heart of Chorus.ai, ZoomInfo's Conversation Intelligence platform. Chorus processes and analyzes a tremendously large set of sales calls to surface insights that help salespeople perform at their highest level and match the best in the industry. We generate deal insights, risk signals, and next-step recommendations that make our platform an indispensable tool for any data-driven sales team. You will own customer-facing product areas - from AI-powered tooling to rich data visualizations and charting experiences - working across the full stack and architecting solutions capable of handling millions of customer requests per day. 

Frontend-heavy or backend-heavy, it doesn't matter - as long as you're great at what you do, willing to learn, and comfortable taking on basic tasks outside your primary discipline when needed, there's meaningful work for you here. You'll be surrounded by incredibly smart, talented, and motivated engineers who will push you to define your new best, all working toward ambitious goals that actually move the needle.

What You'll Do:
  • Design, prototype, and deliver customer-facing features across the full stack - from responsive, polished UI components to robust REST APIs and backend services
  • Build and iterate on AI-powered tools that make Chorus's vast dataset of sales conversations more digestible and actionable for our users
  • Provide technical leadership - contribute to architectural decisions, conduct meaningful code reviews, and help raise the bar for engineers around you
  • Work with engineers, designers, and Product Managers to break down roadmap initiatives into well-scoped, executable work
  • Test, document, and maintain a codebase that is an example to our engineers and supports the scale of the business
What You Bring:
  • 5-10 years of relevant software engineering experience building production web applications
  • Strong proficiency in either backend (Python, Node.js) or frontend (React, Angular) development as your primary discipline
  • Working knowledge of - or genuine eagerness to learn - the other side of the stack: backend services and APIs, or frontend frameworks and UI development
  • Hands-on experience with relational and NoSQL databases: MySQL, MongoDB, DynamoDB
  • Familiarity with search technologies: Elasticsearch and/or Solr
  • Experience with RESTful API design and backend service development
  • Strong interpersonal and communication skills; highly responsible, enthusiastic, and thorough
  • Ability to take end-to-end ownership - from problem framing through to production delivery

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