Data Engineering Co-Op

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineering Co-Op based in Canada.

This opportunity is designed for a motivated data engineering student looking to gain hands-on experience in a global technology environment. You will contribute to building scalable data pipelines, improving data workflows, and supporting cloud-based analytics solutions. The role offers exposure to modern data engineering practices, including data architecture, automation, and performance optimization. Working alongside experienced professionals, you will help solve complex technical challenges and improve data-driven capabilities. This position combines learning, innovation, and practical engineering experience while contributing to solutions that support safer communities. If you are passionate about data, technology, and building efficient systems, this Co-Op opportunity provides an excellent foundation for your future career.

Accountabilities:: As a Data Engineering Co-Op, you will support the development and maintenance of scalable data infrastructure while gaining practical experience with modern engineering tools and processes. You will collaborate with technical teams to improve data accessibility, reliability, and performance.

Assist in designing, developing, and maintaining scalable data pipelines using Python, SQL, and cloud-based technologies.

Support data manipulation, transformation, querying, and integration from multiple data sources.

Help build and maintain cloud-based data architectures and workflows.

Assist with integrating REST APIs and external systems for efficient data ingestion and connectivity.

Work with workflow orchestration tools such as Apache Airflow to support automated data processes.

Learn and apply best practices in data engineering, including governance, security, and performance optimization.

Document workflows, architecture components, technical decisions, and engineering processes.

Identify opportunities to automate data processes and improve operational efficiency.

Monitor and troubleshoot data pipeline performance, failures, and production issues using logging and observability tools.

Collaborate with team members to resolve technical challenges and continuously improve data solutions.

Requirements:

The ideal candidate is a technically curious and detail-oriented student who is eager to develop their data engineering skills while contributing to real-world technology solutions.

Currently enrolled in an undergraduate degree program in Computer Science, Data Engineering, Information Systems, or a related technical field at a Canadian university.

Expected graduation date of December 2026 or later.

Strong interest in data engineering, cloud technologies, and scalable data systems.

Proficiency in Python, including experience with data manipulation libraries such as pandas, JSON, and requests.

Knowledge of APIs, including REST, SOAP, and authentication methods such as OAuth2 or KeyPair Authentication.

Familiarity with SQL and data warehouse technologies such as Snowflake or BigQuery.

Experience or coursework involving cloud platforms such as AWS, Azure, or Google Cloud Platform.

Understanding of data security, privacy standards, and responsible handling of sensitive information.

Strong problem-solving skills with excellent attention to detail.

Ability to work independently while collaborating effectively within a team environment.

Familiarity with CI/CD pipelines and data engineering workflows is an asset.

Exposure to Snowflake features such as Snowpipe, staging/loading data, external functions, or user-defined functions is considered an advantage.

Benefits:

Full-time Co-Op opportunity with hands-on experience in data engineering.

Remote work opportunity available in Canada.

Opportunity to work with modern cloud-based technologies and large-scale data systems.

Exposure to real-world data engineering practices, automation, and analytics solutions.

Mentorship and collaboration with experienced technology professionals.

Opportunity to develop technical skills in Python, SQL, APIs, cloud platforms, and data architecture.

Inclusive and collaborative work environment focused on innovation and continuous learning.

Valuable experience to support future career opportunities in data engineering and technology.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1