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Data Engineering Intern Jobs in British Columbia

About Marvell Marvell's semiconductor solutions are the essential building blocks of the data ... If you picture Marvell as a wheel, Central Engineering is the center hub providing IP to be used by ...

You'll work with point-cloud data, field measurements and technical information to build accurate ... AutoCAD/Revit, GIS/CAD tools, Python/SQL, JavaScript, or common programming frameworks). * Strong ...

You'll work with point-cloud data, field measurements and technical information to build accurate ... AutoCAD/Revit, GIS/CAD tools, Python/SQL, JavaScript, or common programming frameworks). * Strong ...

We partner with them by embedding expert data science, engineering, and AI talent directly into ... Intern to join our Vancouver team. This is a hands-on research and engineering role for someone ...

We partner with them by embedding expert data science, engineering, and AI talent directly into ... As an intern, you'll work alongside seasoned marketing and business development professionals and ...

We partner with them by embedding expert data science, engineering, and AI talent directly into ... As an intern, you'll work alongside seasoned marketing and business development professionals and ...

Use programming tools to identify health trends and disparities in care access. * Build clear ... The ability to explain data clearly, both verbally and in written reports. Working knowledge on ...

... the student-intern will perform tasks related to their specific area of study and the Intern ... Developing session plans and co-facilitating WCA programming activities with groups of Club members.

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Data Engineering Intern information

See British Columbia salary details

$9

$44

$97

How much do data engineering intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data engineering intern in British Columbia is $44.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $70.91 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 British Columbia?

The most popular types of Data Engineering jobs in British Columbia are:

What cities in British Columbia are hiring for Data Engineering Intern jobs?

Cities in British Columbia with the most Data Engineering Intern job openings:

Infographic showing various Data Engineering Intern job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,170 per year, or $44.3 per hour.

Platform Applications Engineer Intern (8-month Co-Op)

Astera Labs Early Career

Vancouver, BC

Internship

Re-posted 6 days ago


Job description

 

At Astera Labs, we design cutting-edge connectivity solutions that power the world's largest cloud service providers, server, and networking OEMs. As a Platform Application Engineer Intern, you'll play a pivotal role in building and supporting the platforms that enable these products to thrive in real-world deployments through.

You'll create and maintain tools that make our products seamless to integrate, highly debuggable, and delightful to use for both customers and internal engineering teams. Your work will span software, systems, and silicon - developing automation, diving into labs with state-of-the-art equipment, and collaborating closely with customers to solve the toughest technical challenges. Beyond execution, you'll influence product direction by driving innovation, providing feedback to design teams, and streamlining validation and deployment processes.

This is a high-impact, hands-on role at the intersection of hardware and software, where curiosity, creativity, and technical depth come together to define the next generation of datacenter infrastructure.

Basic Qualifications 

  • Pursuing a Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or Computer Science
  • Experience in software development with C, C++, C#, and/or Python.
  • Entrepreneurial mindset with a customer-first attitude and a bias toward action
  • Excellent written and oral communication

Required Experience  

  • Comfort working with software/firmware associated with semiconductor products, such as; Firmware development with C-language, scripting with Python or other equivalent programming languages.
  • Hands-on experience building, configuring, and troubleshooting computer systems, with a fundamental understanding of core components such as CPUs, GPUs, memory, storage, motherboards, PCIe devices, and how these components interact at the platform level.

Preferred experience 

  • Firsthand experience with lab equipment such as protocol analyzers/exercisers, high-speed oscilloscopes, or BERTs.
  • Triaging complex customer reported issues which require taking into account multiple layers of conditions; for instance, silicon, firmware, hardware board design, and system environment. 
  • Development/support for PCIe or Ethernet Switch or Retimer products. 
  • PCIe compliance testing methodology and troubleshooting. 
  • Understanding of Data Center systems like Servers, JBOGs/JBODs, Networking switches/routers/interconnects etc.