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Quality Control Intern Jobs in Markham, ON (NOW HIRING)

Environics Analytics

Data Development Intern

Toronto, ON · On-site

$30/hr

Role Objective: The Data Development Intern plays a central role in building, maintaining, and ... Build automated QC checks and validation logic to catch anomalies and inter-vintage inconsistencies ...

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

Process & Quality Assurance: Documenting the data processing steps for Reports, manage testing and ... control processes for Power BI reports. * Analyzing company datasets for usability and propose ...

TalentSphere

Architect or Project Lead

Toronto, ON · Hybrid

Licensed Architect, Intern Architect, Architect, OAA Project Manager, Project Lead, Design ... Apply QA/QC through project phases * Support project delivery from early design through ...

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Quality Control Intern information

What does a quality control intern do?

A Quality Control Intern assists in monitoring and ensuring the quality of products or services within an organization. Their responsibilities typically include conducting inspections, testing materials or products, reporting defects, and helping to maintain documentation for quality standards. They work under the supervision of experienced quality control professionals and gain hands-on experience with quality assurance processes, tools, and industry regulations. This role helps interns develop critical thinking and problem-solving skills while learning about the company's quality management systems.

What are the key skills and qualifications needed to thrive as a quality control intern?

To thrive as a Quality Control Intern, you typically need attention to detail, basic knowledge of quality assurance principles, and coursework or a degree in a relevant field such as science or engineering. Familiarity with laboratory equipment, data analysis software, and quality management systems like ISO standards is often required. Strong communication, problem-solving abilities, and a willingness to learn help interns excel in team environments and adapt quickly. These skills are important to ensure products meet standards, minimize errors, and maintain a company's reputation for quality.

What types of projects or tasks can a quality control intern expect to be involved with during their internship?

As a Quality Control Intern, you will typically participate in tasks such as inspecting products or materials for defects, conducting tests to ensure compliance with quality standards, and assisting in the documentation and analysis of quality data. Interns often work closely with quality engineers and production teams to identify process improvements and support corrective action efforts. This hands-on experience provides valuable exposure to industry regulations, testing protocols, and problem-solving within a team-oriented environment.

What is the difference between Quality Control Intern vs Quality Assurance Intern?

AspectQuality Control InternQuality Assurance Intern
CredentialsTypically pursuing or recent graduate in related fieldTypically pursuing or recent graduate in related field
Work EnvironmentHands-on inspection, testing, and sampling in manufacturing or lab settingsProcess documentation, compliance checks, and improvement planning
Employer & Industry UsageManufacturing, food production, pharmaceuticalsManufacturing, software, healthcare industries

Both roles involve quality-related tasks but differ in focus. Quality Control Interns primarily perform testing and inspection to identify defects, while Quality Assurance Interns focus on developing and maintaining quality systems and processes. Understanding these differences helps candidates target their skills and career goals effectively.

How to get into quality control intern with no experience?

To become a quality control intern with no experience, focus on developing attention to detail, basic knowledge of quality standards, and familiarity with inspection tools. Gaining relevant skills through online courses or certifications in quality management can improve your chances, and applying to entry-level positions or internships that offer training can provide practical experience.

What are the most commonly searched types of Quality Control jobs in Markham, ON?

The most popular types of Quality Control jobs in Markham, ON are:

What job categories do people searching Quality Control Intern jobs in Markham, ON look for?

The top searched job categories for Quality Control Intern jobs in Markham, ON are:

What cities near Markham, ON are hiring for Quality Control Intern jobs?

Cities near Markham, ON with the most Quality Control Intern job openings:

Quality Control Intern jobs near you
Infographic showing various Quality Control Intern job openings in Markham, ON as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Data Development Intern

Environics Analytics

Toronto, ON • On-site

$30/hr

Full-time, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Role Objective:

The Data Development Intern plays a central role in building, maintaining, and modernizing the data infrastructure that powers Environics Analytics' core demographic and behavioural data products. The Data Development team works across a wide range of data sources, including Statistics Canada, IRCC, CRA, and third-party survey data, applying rigorous ETL, quality control, and modeling pipelines to produce market-ready outputs from national to small-area geographies.


You'll design and implement automated data pipelines in SQL and Python, support the migration of legacy workflows to modern architecture (including the team's move to Snowflake), and contribute to quality control systems that ensure the accuracy and consistency of our data products across vintages. This is a hands-on role with real ownership of production code, and strong performers will be well positioned for a full-time Data Engineer role on the team.


What You'll Do:

  • Design, build, and maintain automated data pipelines for ETL, modelling, and quality control across demographic data products.
  • Help migrate and refactor legacy workflows into SQL (T-SQL) and Python, improving scalability, maintainability, and version control.
  • Develop stored procedures, temp table-based workflows, and batch scripts to support large-scale data transformation.
  • Build automated QC checks and validation logic to catch anomalies and inter-vintage inconsistencies early in the pipeline.
  • Collaborate with data developers, Research Associates, and Technical Leads to translate data product methodology into reliable, repeatable code.
  • Present design approaches before building, validate results after, and participate in code reviews.
  • Use Azure DevOps and Git for version control and work item tracking; maintain documentation on SharePoint.
  • Investigate and prototype new tools, libraries, or pipeline architectures, including Snowflake-native approaches, that improve team efficiency or product quality.
  • Use AI coding tools (e.g., GitHub Copilot) as a core part of daily development to accelerate scripting, refactoring, and code review.
  • Apply AI-assisted approaches to documentation and QC, such as generating test cases, drafting validation logic, or summarizing pipeline behaviour.
  • Critically evaluate AI-generated code and output, verifying correctness and understanding the underlying SQL/Python well enough to own what ships.


What You'll Learn:

  • Practical, production experience in data engineering, automation, and AI-assisted development.
  • Exposure to large-scale demographic, financial, and behavioural datasets.
  • Insight into the full product development lifecycle at a leading data and analytics firm.
  • Modern cloud data warehousing (Snowflake) alongside traditional SQL Server workflows.
  • Agile development, version control, and code review practices.
  • Best practices in quality control and data integrity at scale.


Qualifications:

Education

Enrolled in or recently completed a graduate program (Master's) in Computer Science, Data Science, Statistics, Geography, Engineering, or a related quantitative field. Undergraduate candidates with strong relevant experience will also be considered.

Experience

  • Prior experience (coursework, research, co-op, or work) in data engineering, data analysis, or software development.
  • Comfort working with large-scale structured datasets (millions of rows across related tables).

Technical Skills

  • Strong SQL, including window functions and set-based transformation logic; T-SQL experience is a plus.
  • Proficiency in Python for data processing and automation, including pandas.
  • Experience building or contributing to multi-step ETL pipelines.
  • Comfort working in VS Code, Jupyter Notebook, and/or SQL Server Management Studio.
  • Experience with Git and a willingness to learn Azure DevOps.
  • Comfort using AI coding tools (e.g., GitHub Copilot) as part of your regular workflow.

Bonus Skills

  • Familiarity with Snowflake or other cloud data warehousing.
  • Familiarity with ETL processes and APIs.
  • Exposure to geospatial data or Canadian census geographies (e.g., DA, CT, CSD, CMA).
  • Familiarity with dashboards, data visualization, or statistical concepts (imputation, aggregation, index construction).
  • Exposure to workflow orchestration tools (e.g., Airflow) or distributed computing (e.g., Dask).

Personal Attributes

  • Strong problem-solving skills and eagerness to learn; comfortable identifying root causes and proposing systematic fixes.
  • Detail-oriented, with good documentation and communication habits.
  • Collaborative and open to feedback; comfortable working in a multidisciplinary team of researchers and data professionals.
  • Able to clearly communicate technical findings to both technical and non-technical stakeholders.


About Environics Analytics

Environics Analytics (EA) is a marketing services company that specializes in geodemographic-based segmentation, site evaluation modelling, and custom analytics.

EA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require any accommodation to participate in the hiring process, please note the request in your application. We welcome people of all abilities.


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