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Data Engineering Intern en Shyftlabs

Shyftlabs · Toronto, Canadá · Hybrid

Python

MongoDB

SQL

NoSQL

Docker Container Platforms

AWS

Microsoft Excel

Elasticsearch

Cloud

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Position Overview

At ShyftLabs, we live and breathe data and we want you to, too. We help Fortune 500 companies unlock massive growth with cutting-edge digital solutions.

We're not just looking for interns, we're looking for the next generation of data engineers. If you’re excited by the idea of building scalable data pipelines, optimizing cloud infrastructure, and enabling smarter business decisions through data, this opportunity is for you. You’ll collaborate closely with experienced engineers to design, develop, and deliver data solutions that make a real impact.

This internship will last between 4 to 12 months, giving you hands-on experience with real-world data engineering challenges in a fast-paced, innovation-driven environment.


Position OverviewAt ShyftLabs, we live and breathe data and we want you to, too. We help Fortune 500 companies unlock massive growth with cutting-edge digital solutions.We're not just looking for interns, we're looking for the next generation of data engineers. If you’re excited by the idea of building scalable data pipelines, optimizing cloud infrastructure, and enabling smarter business decisions through data, this opportunity is for you. You’ll collaborate closely with experienced engineers to design, develop, and deliver data solutions that make a real impact.This internship will last between 4 to 12 months, giving you hands-on experience with real-world data engineering challenges in a fast-paced, innovation-driven environment.

What you'll be doing
  • Collaborate with Data Engineers, Analysts, and Product Managers to design and implement end-to-end, cloud-based data solutions.
  • Assist in developing and maintaining ETL pipelines using modern data engineering tools and best practices.
  • Support the creation of reliable, scalable, and secure data workflows across cloud environments (AWS, GCP, or Azure).
  • Contribute to data quality, reliability, and automation initiatives to enhance existing processes.
  • Participate in source control, testing, and CI/CD practices to support agile data delivery.
  • Engage in team meetings, sprint reviews, and design discussions to gain exposure to the full data lifecycle.


    • What you bring
  • Currently pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or a related field.
  • Strong understanding of Python and SQL for data manipulation and automation.
  • Familiarity with cloud technologies (AWS, GCP, or Azure) and data pipeline concepts.
  • Exposure to tools such as Databricks, Airflow, or Hadoop is an asset.
  • Knowledge of data warehousing and ETL processes.
  • Enthusiastic about learning new technologies, solving problems, and collaborating in a team environment.
  • Excellent communication skills and a proactive, detail-oriented mindset.


    • Nice to have
  • Experience with Docker or containerization.
  • Familiarity with NoSQL databases (e.g., MongoDB, Elasticsearch).
  • Interest or prior exposure to the retail or analytics industry.
  • Experience working with large-scale data processing tools like Apache Spark.


    • What We Offer
    -Real-world experience building data-driven products at scale.
    -Close collaboration with experienced engineers and mentors committed to your professional growth.
    -Hybrid work environment: 3 days per week in our downtown Toronto office.
    -Access to learning and development resources to support continuous skill building.
    -Opportunity to be considered for a full-time role upon successful completion of the internship.

    Inclusion at ShyftLabs
    We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

    ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.
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