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Data Engineer 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 ...

Developer Relations Intern

Toronto, ON · Remote

CA$8 - CA$16/hr

Role Summary We are looking for a passionate Developer Relations Intern to join our global DevRel ... If you would like more information about how your data is processed, please contact us. apply for ...

We are looking for a skilled and driven IT Developer Intern to join our team. This role is perfect ... Work with data structures (e.g., arrays, linked lists, trees, graphs) and implement algorithms for ...

Analyze supply chain data and prepare reports on key performance metrics. Coordinate with suppliers ... Engineering, or a related field. Proficiency in Microsoft Excel; familiarity with Power BI, ERP ...

Showing results 21-40

Data Engineer Intern information

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

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

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What are the most commonly searched types of Data Engineer jobs in Toronto, ON?

The most popular types of Data Engineer jobs in Toronto, ON are:

What job categories do people searching Data Engineer Intern jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Intern jobs in Toronto, ON are:

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

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

Infographic showing various Data Engineer 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.

Data Analyst Intern (Winter/January 2027, 8+ Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 5 days ago


Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst Intern who will work to help utilize vast datasets to draw meaningful insights and solve business problems. This internship position will analyze and mine business data to identify correlations and discover patterns from various data points. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Analyst Intern your key area of responsibility will be to assist with the design and maintenance of data systems and databases using statistical tools to interpret data sets. On a typical day, you will work closely with your direct supervisor, other interns in the same department, as well as other teams within the business. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and others.

The opportunity:
  • 8+ month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Collaborate globally with colleagues from the Business Transformation team and other functions of the business to drive results.
  • Build and review statistical, predictive and machine learning models to drive sourcing accuracy.
  • Ensure data quality throughout all stages including data sourcing/collection, generation, normalization, and transformation.
  • Use SQL and Python to interact with Geotab's big data infrastructure.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions.
  • Build compelling stories from data and present them to different types of technical and non-technical stakeholders.
  • Make recommendations for new metrics, techniques, and strategies to improve Geotab's product suite.
  • Promote data-driven decision-making across the team, using tools such as SQL, and Google Sheets.
  • Provide leaders with insights and visualizations in order to make data decisions to provide the most consistent and usable data for all teams across the company.
What you'll bring to the role:
  • Degree in Computer Science, Engineering, Mathematics, or a related field of study in progress.
  • Some experience as a Data Analyst or pursuing a career path in Data Analytics/Data Science.
  • Technical experience using SQL, Python or Google BigQuery is an asset.
  • Some knowledge of data mining/data warehousing, data modeling, statistical analysis, database management, reporting, and data analysis.
  • Experience with developing machine learning models and in feature engineering is an asset.
  • Some knowledge of data visualization tools (e.g. Superset, Tableau).
  • Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
  • Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.Â