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Entry Level Software Engineer Internship Jobs in Ontario

FW Engineer

Kanata, ON ยท On-site

As an Early Career Firmware Engineer, you'll be part of an agile Scrum team developing software ... Mentor interns and co-ops.

Tasks will include utilizing software for building information modeling, computer-aided drafting ... This individual may also delegate basic and fundamental tasks to entry-level engineers and ...

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

New

University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst * Strong hands-on SQL and ideally dbt ...

New

... software engineers who want to help build it. Where you might join depends on your strengths and ... If you're still studying or haven't yet graduated, we'd love you to apply to our internship ...

Mobile Developer (Entry Level)

Toronto, ON ยท Hybrid

CA$85K - CA$95K/yr

About The Role As an entry level Mobile Developer you'll be tasked with working on either iOS or ... Working within the software development team, your duties will require you to assist in the ...

Director, Support

Waterloo, ON ยท On-site +1

CA$85K - CA$104K/yr

Software Developer At GoldCare, we're on a mission to make healthcare smoother and smarter ... Internship, co-op, or capstone project experience involving databases or backend systems is an ...

Showing results 41-60

Entry Level Software Engineer Internship information

See Ontario salary details

$23K

$68.5K

$133K

How much do entry level software engineer internship jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level software engineer internship in Ontario is $68,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $81,500.00 per year, depending on experience, location, and employer.

What is an entry level software engineer internship?

An Entry Level Software Engineer Internship is a temporary position designed for students or recent graduates to gain hands-on experience in software development. Interns typically work under the guidance of experienced engineers, assisting with coding, debugging, testing, and documentation. This role helps build technical skills, familiarity with industry tools, and teamwork experience. It can also serve as a pathway to full-time employment.

What are the key skills and qualifications needed to thrive in the entry level software engineer internship position, and why are they important?

To thrive as an Entry Level Software Engineer Intern, you need a solid understanding of programming fundamentals (such as data structures, algorithms, and basic coding), often demonstrated through coursework or personal projects. Familiarity with development tools like Git, integrated development environments (IDEs), and commonly used languages (like Python, Java, or JavaScript) is typically required, and exposure to version control systems is valuable. Strong problem-solving abilities, eagerness to learn, teamwork, and effective communication are important soft skills to stand out in this role. These combined skills enable interns to quickly contribute to projects, collaborate productively with experienced engineers, and gain the most from their internship experience.

What types of projects do entry level software engineer interns typically work on during their internships?

Entry Level Software Engineer Interns often contribute to real-world projects under the mentorship of senior engineers, which might include bug fixes, feature enhancements, or developing new application components. You may participate in code reviews, collaborate in agile development sprints, and help with software testing or documentation. The projects are designed to match your skill level while also providing hands-on learning and exposure to industry-standard development processes. This experience helps interns build a strong foundation for future full-time roles and understand how software teams operate in a professional environment.

What are the most commonly searched types of Software Engineer Internship jobs in Ontario? The most popular types of Software Engineer Internship jobs in Ontario are:
What job categories do people searching Entry Level Software Engineer Internship jobs in Ontario look for? The top searched job categories for Entry Level Software Engineer Internship jobs in Ontario are:
What cities in Ontario are hiring for Entry Level Software Engineer Internship jobs? Cities in Ontario with the most Entry Level Software Engineer Internship job openings:
Infographic showing various Entry Level Software Engineer Internship job openings in Ontario as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $68,453 per year, or $32.9 per hour.

AI Integration & Data Engineer (Vibecoding) - Master-Level Internship

Vosyn

Etobicoke, ON โ€ข On-site

$32/hr

Contractor

Re-posted 22 days ago


Job description

About Us:

At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly aunicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.

About the Role:

We are seeking a capable, detail-driven AI Integration & Data Engineer Intern to own the connective tissue of every project: the data plumbing and the integrations into the systems a client already runs. This role is ideal for a Master's level student who uses AI coding tools to move fast but has the engineering depth to handle the part those tools are worst at bespoke integration with messy, real-world data. You will connect to client databases, APIs, and SaaS systems; extract, clean, transform, and move data so it is usable by AI features; and build the pipelines that feed the agents and retrieval systems your teammates create. More than half the real work of any AI project lives here, and it is the difference between a demo and something that runs in production.

Tools & Tech Stack:

AI-native IDEs / editors: Cursor, Windsurf, GitHub Copilot; agentic CLI coders (Claude Code, Aider)

Back-end: Node.js and/or Python

Databases & BaaS: PostgreSQL, Supabase, Firebase; familiarity with SQL

Data movement: APIs and webhooks, ETL/data pipelines, data cleaning and transformation

Integration & automation glue: MCP (Model Context Protocol), Zapier, Make, or n8n where useful

Version control & documentation: Git / GitHub, Notion

Key Responsibilities:

Connect to client systems - databases, APIs, CRMs, and other SaaS tools - and get data reliably out of and into them.

Extract, clean, transform, and move data so it is structured and usable by AI features, including retrieval and agentic workflows.

Build and maintain data pipelines that feed the Applied AI Engineer's RAG and agent systems with current, correct data.

Use AI coding tools to accelerate integration work, while applying real engineering judgment to the bespoke, messy parts those tools handle poorly.

Handle the practical realities of client data: undocumented schemas, inconsistent formats, partial records, and access constraints.

Apply data-handling, security, and privacy best practices throughout, especially with client data.

Collaborate with the Builder and the Applied AI Engineer to ensure data flows cleanly end to end, and document integrations and pipelines in Notion so they are repeatable and maintainable.

About You:

Currently enrolled or recently graduated from a Master's program in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. Master's program enrollment or completion is mandatory.

Solid back-end and data fundamentals: Python and/or Node.js, plus comfort with SQL and relational databases.

Demonstrated experience using AI coding tools (Cursor, Copilot, Claude Code, Windsurf, or similar) as a core part of how you build.

Hands-on experience moving data between systems - working with APIs, building simple pipelines, or cleaning and transforming real datasets.

Ability to read, evaluate, and improve AI-generated code rather than accepting it blindly, particularly for integration logic.

Understanding of databases, APIs, and asynchronous request handling.

Comfort working with incomplete, messy, or undocumented data and making sensible assumptions.

Awareness of data security and privacy best practices.

Excellent verbal and written communication skills within a cross-functional team

environment.

New graduates are encouraged to apply.

We believe exceptional talent often emerges from diverse paths. If you possess a profound curiosity, a genuine passion for continuous personal and professional growth, and a strong desire to apply your unique abilities to create significant impact within our team, we strongly encourage you to apply even if your background doesn't align perfectly with every single qualification.

Employment Type: CONTRACTOR