Data Engineering Intern
About The Position
Boeing Vancouver is seeking a Data Engineering Intern for our internship program. The Data Engineering intern will be reporting to the AI & Analytics Manager. This is a full-time internship opportunity that is based at our office in Richmond, British Columbia and is up to 8 months in length, starting in early September 2026. As a Data Engineering Intern, you will bring a keen enthusiasm for AI, machine learning, and data analytics. You will be embedded in a multidisciplinary data science team to develop and support advanced analytics applications. You will assist the data science team in converting industry-leading analytics initiatives into product platforms, which in turn support diverse and interesting customer aircraft programs. The Data Engineering Intern will assist in designing, implementing, and managing data pipelines that meet business requirements. This includes defining data models, data contracts, data quality requirements, and model features. Candidates should have a solid understanding of fundamental software development standards and practices, cloud infrastructure, and security practices. However, to excel in this role, they must also demonstrate professional curiosity, a love for learning, a passion for problem-solving, and a resourceful, get-it-done attitude.
Requirements
- 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.
Nice To Haves
- Experience with Apache Spark and/or Databricks.
- Experience with cloud (Azure preferred).
- Experience in collaborative development environments and version control (e.g., GitLab).
- Experience in production-quality software development.
- Experience working within Agile/Lean frameworks.
- Previous internship experience.
- Graduates are ineligible unless continuing in post graduate studies.
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.
Benefits
- Have the opportunity to take part in impactful business projects.
- Network with experienced professionals.
- Engage in a strong student network.
- Gain valuable exposure in the Aerospace industry.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
