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Data Engineering Intern Jobs in Ontario (NOW HIRING)

As an Electrical Intern, you will work alongside our electrical engineering team on real spacecraft ... with limited data. * Experience in a nimble, technical engineering role, with a scrappy ...

As an Electrical Intern, you will work alongside our electrical engineering team on real spacecraft ... with limited data. * Experience in a nimble, technical engineering role, with a scrappy ...

Develop software tools to assist in the design of Optical Network with goal of maximizing data ... Enrolled in a Computer Science, Engineering, Mathematics or Physics program * Strong Python ...

Intern Orientation * Online Onboarding Curriculum * Buddy Program for mentorship and guidance Hands ... Data Modeling & Engineering: Build and maintain robust semantic models for both BI and AI ...

About Marvell Marvell's semiconductor solutions are the essential building blocks of the data ... Currently pursuing a Master's or PhD in Electrical Engineering or a related field. * Coursework or ...

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Data Science, Software Engineering, or a related field. * Strong programming skills in Python.

Your Team, Your Impact Central Engineering works directly with the Optical Digital Signal Processing (ODSP) group to design physical layer ICs for high-speed fiber optic data communication, such as ...

Showing results 21-40

Data Engineering Intern information

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 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 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 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 are the most commonly searched types of Data Engineering jobs in Ontario? The most popular types of Data Engineering jobs in Ontario are:
What cities in Ontario are hiring for Data Engineering Intern jobs? Cities in Ontario with the most Data Engineering Intern job openings:
Infographic showing various Data Engineering Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Robotic Process Engineer, Intern

Machina Labs

Chatsworth, ON

CA$20 - CA$35/hr

Internship

Re-posted 25 days ago


Job description

About Machina Labs
 
Engineering moves at software speed. Manufacturing doesn't. Yet.
 
Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.
 
Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.
 
If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.    

The Role

As a Robotics Process Engineer Intern at Machina Labs, you will help enable RoboForming, our robotic incremental sheet metal forming process, by supporting CAD manipulation, robot tool path generation, process optimization, and data analysis. You will work with cutting-edge systems and internal tools to convert digital designs into robotic action, analyze forming and scan data, and help iterate on process strategies using real-world engineering feedback. This role is hands-on, highly collaborative, and ideal for individuals interested in digital tooling, advanced robotics, and manufacturing automation. This role will report into our Federal Aerospace & Defense Vertical.
What You'll Do
  • Assist in generating and modifying CAD models for compatibility with RoboForming processes.
  • Support the conversion of CAD designs into robot tool paths using our internal software stack.
  • Analyze process data and 3D scan results to assess part quality, suggest improvements, and document findings.
  • Design and execute experiments (DOE) aimed at optimizing forming techniques and tool path strategies.
  • Work closely with product managers, engineers, and team members to improve process workflows, and participate in technical discussions to support project goals.
  • Operate autonomously, make informed decisions, and refine approaches based on real-world feedback under mentorship from experienced engineers.
  • Document processes, results, and analyses to support ongoing improvement efforts.
What We're Looking For
  • Actively pursuing a Bachelor's or advanced degree in Mechanical, Manufacturing, Industrial, Aerospace Engineering, or a related field.
  • Expected to complete or have completed final degree within one year of the internship's end. 
  • Some experience in a manufacturing, robotics, or prototyping environment (internships, research projects, or coursework welcome).
  • Proficiency in CAD software (e.g., SolidWorks, Fusion 360, Rhino) through academic projects or prior work.
  • Familiarity or coursework in CAM, tool path generation, or basic robot programming.
  • Foundational data analysis skills (MATLAB, Python, advanced Excel, or similar tools).
  • Willingness to work on open-ended problems, make rapid decisions, and adapt quickly in a fast-paced environment.
  • Attention to detail, ability to follow instructions, and commitment to safety.
  • Good written and verbal communication skills; able to collaborate with interdisciplinary teams.
Preferred Qualifications
  • Experience in surface modeling via CAD coursework or projects.
  • Exposure to industrial robots (FANUC, KUKA, ABB, etc.) from labs or classes.
  • Familiarity with 3D scanning or inspection tools.
  • Experience with Python scripting, automation tools, or coding basics.
  • Exposure to CNC machining, additive manufacturing, or digital manufacturing coursework.
  • Experience working in a production or team environment.
  • Understanding of safety, especially in engineering labs or manufacturing facilities.
$20 - $35 an hour

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. 

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. 

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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