About the role

Data Engineering Intern at Boeing Vancouver developing scalable data pipelines with Python and Spark. Collaborating with multidisciplinary teams and gaining exposure in the Aerospace industry.

Responsibilities

Work directly with an assigned mentor or a buddy.
Design and implement robust, highly performant, and scalable streaming data pipelines using Python and Spark.
Define, enforce, and measure data quality as part of the data pipelines.
Work with cross-functional teams to solve their complex data problems.
Foster the creation of a data-driven culture, data stewardship, related competencies, and data literacy across the organization.
Generate ad-hoc data analysis.
Report status and progress to Manager and Team Lead.
Stay up to date on all new Spark/Databricks features and functionalities and find ways to introduce them to the organization.

Currently enrolled as a full-time student with an accredited university or college with studies in Computer Science or similar technical discipline.
Must be at least a 2nd year or higher student with studies in a relevant program.
Experience with data engineering and data processing tools.
Experience with Python.
Experience with relational and non-relational database technologies.
Willing and able to work 40 hours per week during the internship.
Provide consent to Canadian Government Controlled Goods Program (CGP) assessment and willing and eligible to work on government and defense-related programs.
Must be legally able to work in Canada.
Individuals must not pose a risk for safeguarding of controlled goods.
Must be eligible to handle US export-controlled data.