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Full Stack Data Analyst Developer Jobs in Toronto, ON

Scribendi is seeking a Senior Full-Stack Engineer to build AI-driven products that empower researchers worldwide. You will work across the full stack to deliver scalable, high-performance ...

Staff Software Developer, Full Stack

Toronto, ON ยท Hybrid

CA$164K - CA$222K/yr

Strong experience with Databases design (SQL, NoSQL) and analytics. * Prior working experience in ... Ability to work collaboratively with cross-functional teams, including data scientists, product ...

Collaborate with DevOps teams to deploy and maintain web applications in production environments ... Must be able to write data migrations to change the database system while still maintaining ...

Associate Java Full-Stack Developer

Toronto, ON ยท Hybrid

CA$85K - CA$100K/yr

Associate Full-Stack Developer- Java This role is eligible for our hybrid work model: Two days in ... Implement SQL composition skills that collects and queries data for investigation and analysis in ...

This role spans both modern full-stack development and Mainframe-based payment processing, offering ... Participate in technical analysis and solution design under senior guidance, contributing to sprint ...

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 ...

Full-Stack Software Engineer

Toronto, ON ยท On-site +1

CA$130K - CA$160K/yr

Experience with relational data modeling and SQL (Postgres preferred). You know what an index does ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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 ...

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 ...

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Full Stack Data Analyst Developer information

See Toronto, ON salary details

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How much do full stack data analyst developer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for full stack data analyst developer in Toronto, ON is $48.71, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $58.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack Data Analyst Developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What is a Full Stack Data Analyst Developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a Full Stack Data Analyst Developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.
What job categories do people searching Full Stack Data Analyst Developer jobs in Toronto, ON look for? The top searched job categories for Full Stack Data Analyst Developer jobs in Toronto, ON are:

Senior Full Stack Developer

Scribendi

Toronto, ON โ€ข On-site

Full-time

Posted yesterday


Job description

Scribendi is seeking a Senior Full-Stack Engineer to build AI-driven products that empower researchers worldwide.

You will work across the full stack to deliver scalable, high-performance applications and help develop agentic AI systems and intelligent collaboration tools that accelerate scientific discovery.

Strong engineers come in many forms, and this role involves a high degree of ownership, ambiguity, and high standards. If you are motivated by purpose, excited by modern technology, and thrive in an environment that values autonomy and excellence, we would love to meet you.

Our mission is to use technology to accelerate research, improve collaboration, and advance scientific discovery worldwide. Our goal is to build tools that meaningfully improve the human experience.

This posting is for an existing vacancy. Please note that this role requires regular in-person meetings.

How You Work

  • Own the delivery of features end to end across the stack, working collaboratively while remaining accountable for outcomes.
  • Thrive in product and technical ambiguity, solving complex problems that require sound judgment and thoughtful system design.
  • Balance speed and quality, moving with urgency while maintaining high engineering standards.
  • Take on meaningful responsibility, actively seek feedback, and continuously grow your technical and professional skills.
  • Collaborate and communicate clearly with engineers, product, and other stakeholders to ensure alignment and effective execution.
  • Build and scale forward-looking AI-driven platforms that support and accelerate scientific discovery.
  • Look for leverage by automating, abstracting, and improving systems so the team moves faster over time.

Requirements

  • Minimum 5 years of full-stack production experience with modern web technologies such as React, Next.js, Node.js, PHP, or Python, and MySQL or Postgres (or similar technologies).
  • Solid understanding of architecture, scalability, and performance.
  • Experience integrating AI APIs and intelligent workflows into real applications.
  • Demonstrated initiative, with experience leading and delivering small to large projects end to end.
  • High ownership, high output, and strong attention to code quality.
  • Strong coding skills, with an emphasis on building understandable and maintainable software while collaborating effectively with others.
  • Strong communication skills, both written and verbal, evident in the quality of technical specifications, discourse, and feedback.
  • Curious, adaptable, and motivated to continuously improve.

Why Join Us

Our engineering culture is built on a simple belief: a small, talented team operating efficiently can build exceptional software without working 65-hour weeks.

We believe engineers do their best work when they have space to think, autonomy to make decisions, and clarity of purpose. We create an environment that supports focus, ownership, and a sustainable pace.

We do this through:

  • No micromanagement. Engineers own decisions and outcomes.
  • Natural collaboration and deliberate communication.
  • Investing in tools and abstractions that provide leverage.

About the Company

Scribendi is a global leader in academic and professional editing, helping researchers and professionals communicate complex ideas with clarity and impact. Since 1997, we've worked with clients across disciplines to support meaningful research and thought leadership. We act as thinking partners in the academic process, offering critical feedback, intellectual engagement, and expert insight to elevate our clients' work. In 2018, Scribendi launched Scribendi.ai, our AI and machine-learning brand, to develop tools to improve our customer experience and enhance the skills of our human editors.

In 2023, Scribendi was acquired by the Japanese corporation M3, Inc. via its subsidiary Edanz. Since 1995, Edanz and its team of expert editors and research consultants have helped thousands of researchers all over the world publish successfully in international journals.

Together, Scribendi and Edanz serve a global network of researchers, institutions, and organizations that value credibility, clarity, and academic expertise.

While Scribendi uses AI-enabled tools to help screen and assess applicants, all hiring and interview decisions are ultimately made by human reviewers. Scribendi is committed to equal opportunity employment. If you require accommodation during the recruitment and selection process, please let us know.

Salary range: 85,000-125,000 per year

Benefits