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Data Engineering Intern Jobs in Ontario (NOW HIRING)

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Developer Relations Intern

Toronto, ON · Remote

CA$8 - CA$16/hr

... engineering, marketing) to improve the BNB Chain developer experience * Advocate for BNB Chain ... If you would like more information about how your data is processed, please contact us. apply for ...

Vosyn

IT Developer - Master-Level Internship

Etobicoke, ON · On-site +1

$32/hr

... Intern, you will work closely with our engineering team to design, develop, and maintain the ... Work with data structures (e.g., arrays, linked lists, trees, graphs) and implement algorithms for ...

Magna

Engineering Co-Op Student

Woodbridge, ON · On-site

CA$25/hr

Trial coordination, data analysis, and follow up * Coordination of outside vendors (sub-contracted ... Provide Engineering support to other departments as directed by the Engineering Manager or ...

Trend Micro

Malware Research Intern

Toronto, ON

... technical data feeds, research products, and engineering services. As a Malware Research Intern ... you will be learning skills required for threat hunting, analysis of malware samples, and detection ...

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All JobsData Engineering Intern JobsData Engineering Intern Jobs in Ontario

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:
Data Engineering Intern jobs near you
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.

Product Verification Engineer Intern (12 months)

Ciena

Ottawa, ON

CA$25 - CA$34/hr

Full-time

PTO

Re-posted 21 days ago

Job description

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact.

Help shape the next generation of adaptive networking platforms through hands-on system validation and automation within Ciena's Product Verification organization. This role contributes directly to the quality, reliability, and performance of next-generation optical networking products used by global service providers and content operators. The position offers practical exposure to system testing, software automation, and cross-functional engineering collaboration in an onsite lab environment.
How you will make an impact:
  • Execute system-level tests to validate performance, reliability, and functional behavior of next-generation networking products.
  • Develop and maintain Python-based automation to improve test coverage, repeatability, and efficiency.
  • Build and configure telecommunications network environments to support system testing and analysis.
  • Investigate product behavior by collaborating with hardware, software, and systems engineering teams.
  • Analyze test results to identify defects and contribute to root-cause investigations.
  • Document test outcomes and produce reports used across engineering organizations.
  • Collaborate with Product Verification teams across system, management, and northbound interface layers.
The must haves:
  • Education: Currently pursuing or recently completed a degree in Engineering, Computer Science, Information Technology, or a related field.
  • Demonstrated interest in networking, system testing, or test automation.
  • Application of programming or scripting through coursework, projects, or industry exposure, including Python.
  • Execution of test procedures with critical evaluation of results.
  • Written and verbal communication applied within collaborative technical teams.
  • Attention to detail aligned with quality-focused engineering environments.
Nice to haves:
  • Exposure to test automation frameworks or Jupyter Notebooks.
  • Understanding of basic network protocols or laboratory test equipment.
  • Background in telecommunications networks or fiber-optic communications.
  • Experience with large language models or generative AI, including prompt design, fine-tuning, evaluation, or small application development.
  • Knowledge of MLOps concepts such as data pipelines, model deployment, containerization, or CI/CD practices.
Pay Range:
The hourly pay range for this position is $25.00 - $34.00

Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available.


In addition to competitive compensation, Ciena offers students access to the Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation pay as required by applicable laws.
At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is anEqual Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

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