ZipRecruiter

Log In

1

Data Engineering Internship Jobs in Toronto, ON (NOW HIRING)

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or a related field * Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

Wand

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ...

CRB

Mechanical Engineer Intern - Fall

Toronto, ON · On-site

Mechanical Interns focus on the design and engineering of HVAC, mechanical utility, plumbing, fire ... Strong problem-solving skills with the ability to analyze complex data sets and develop actionable ...

previous pagenext page

Showing results 21-40

All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in Toronto, ON

Data Engineering Internship information

See Toronto, ON salary details

$9

$42

$93

How much do data engineering internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data engineering internship in Toronto, ON is $42.02, according to ZipRecruiter salary data. Most workers in this role earn between $16.75 and $67.90 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.
What are the most commonly searched types of Data Engineering jobs in Toronto, ON? The most popular types of Data Engineering jobs in Toronto, ON are:
What are popular job titles related to Data Engineering Internship jobs in Toronto, ON? For Data Engineering Internship jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Engineering Internship jobs in Toronto, ON look for? The top searched job categories for Data Engineering Internship jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Engineering Internship jobs? Cities near Toronto, ON with the most Data Engineering Internship job openings:
Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 4% Internship, 88% Full Time, 4% Part Time, and 4% Contract. Highlights an 79% In-person, 17% Hybrid, and 4% Remote job distribution, with an average salary of $87,393 per year, or $42 per hour.

Associate AI Engineer

ShyftLabs

Toronto, ON • Hybrid

CA$60K - CA$80K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 hours ago

Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we're growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.

The Opportunity

ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing engineering team. This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at the intersection of AI/ML and backend software development.

In this role, you'll help design and build AI-powered features that are integrated directly into real-world applications and data platforms. You'll work closely with experienced engineers, product managers, and architects to develop scalable backend services, integrate AI tools and APIs, and contribute to production-ready systems used by enterprise clients.

This is a hands-on engineering role with strong mentorship and learning opportunities, ideal for someone who enjoys both software development and applied AI technologies.

What You'll Do

  • Assist in building and integrating AI-powered features into backend applications and workflows

  • Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences

  • Develop and maintain backend APIs, microservices, and integrations using modern development frameworks

  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

  • Support the development of scalable data pipelines and workflows for AI-enabled applications

  • Participate in testing, debugging, monitoring, and improving production systems

  • Contribute to technical documentation, API specifications, and architecture discussions

  • Learn and apply best practices in software engineering, cloud development, and AI integration

  • Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability

  • Stay current with emerging AI/ML technologies, tools, and engineering practices

What You Bring

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or a related field

  • Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development

  • Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn

  • Understanding of backend development concepts such as APIs, microservices, and databases

  • Familiarity with JavaScript/TypeScript or Node.js is considered an asset

  • Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects

  • Interest in AI/ML technologies, including LLMs and intelligent automation tools

  • Strong problem-solving skills and willingness to learn new technologies quickly

  • Good communication and collaboration skills in a team environment

  • Understanding of software development fundamentals, including testing, version control, and Agile development practices

Nice to Have

  • Experience working on personal, academic, or hackathon projects involving AI or data platforms

  • Familiarity with tools such as Docker, Git, Kafka, or cloud deployment workflows

  • Exposure to data engineering, ETL pipelines, or analytics systems

  • Interest in scalable distributed systems or event-driven architectures

  • Contributions to open-source projects, technical clubs, or developer communities

Salary Range
  • $60,000 - $80,000 (CAD)
Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
-Downtown Toronto Office: Work in the heart of the city.
-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
apply for this job

Apply