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

Our intern program would suit candidates with interest across engineering -- from the hardware ... Applying programming, hardware, AI/ML, data, simulation or other engineering tools. * Solving ...

As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts ... Assisting in ASIC bring-up and support activities for our latest data center/AI, gaming graphics ...

Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to ... Collaborate with data engineers, product owners, quality engineers and other stakeholders to ...

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Data Engineering Intern information

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$9

$42

$92

How much do data engineering intern jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data engineering intern in Toronto, ON is $42.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.75 and $67.68 per hour, depending on experience, location, and employer.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

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

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

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 cities near Toronto, ON are hiring for Data Engineering Intern jobs?

Cities near Toronto, ON with the most Data Engineering Intern job openings:

Infographic showing various Data Engineering Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $87,962 per year, or $42.3 per hour.

Intern Program - Engineering Pathways

Toronto, ON • Hybrid

ARM
IT Services • 5 - 10K employees

Full-time, Internship

Posted 11 days ago


Job description

Arm technology powers billions of devices, and our goal is to find students who want to help build what comes next! Our intern program would suit candidates with interest across engineering — from the hardware inside the chip to the software and tools that bring it to life.

What you could be doing?

Internships span several areas, with some projects crossing more than one:

Hardware & Chip Design — Work with digital logic, RTL, FPGA, circuits, physical design or semiconductor technology.

Testing & Validation — Test and debug technology through simulation, automation, test environments or lab work.

Systems & Performance — Explore architecture, workloads and system behavior through modeling, simulation and benchmarking.

AI & Machine Learning — Develop or optimize AI/ML solutions and apply technologies such as LLMs and agentic AI.

Software & Tools — Build software, automation and engineering tools using C/C++, Python, Linux, embedded systems or CI/CD.

Technical Enablement — Help developers and partners succeed with Arm through coding, technical problem-solving, research and communication.

Technical Product & Programs — Help shape and deliver technical products and programs through strategy, data, planning, customer insights and cross-functional coordination.

We are looking for individuals who:


Are currently enrolled in a Bachelor's, Master's or PhD program in Electronic Engineering, Computer Engineering, Computer Science, Software Engineering, Data Science, or another relevant technical or quantitative field. Some opportunities may require a specific degree level, area of study or technical background.

We're interested in students who enjoy technology, problem-solving, collaboration and continuous learning. Relevant experience can come from coursework, labs, research, personal projects, hackathons, student organizations, previous internships or other hands-on work.

Qualities that will help your application stand out:


Experience in every area isn't expected. We're interested in examples of:

  • Building, testing, debugging, analyzing, modeling or improving something technical.
  • Applying programming, hardware, AI/ML, data, simulation or other engineering tools.
  • Solving problems, learning new technology and collaborating effectively with others.


As part of the application, we'll ask about interests, experience and technologies used. We'll review those responses alongside the resume to match candidates with available opportunities.

We encourage early applications as we review them on a first come/first served basis.

Arm internships require you to be currently enrolled in a college or university degree program and returning to your studies after completing your internship.

Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the internship is based, without relying on sponsorship by Arm, for the full duration of the internship.

In Return:


Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration. #getreadytogrow

#LI-AB1

#A102, #A103, #A105, #E102, #H101, #M101, #P102, #P103, #P104,#S104, #T101, #V1

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.

This is a non-exempt hourly role which will be paid at an hourly rate based on the number of hours worked. Pay rates vary by location and educational level.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Internship