Richmond, British Columbia
Job ID JR2025466312 Category Engineering Role Type Hybrid Post Date Aug. 06, 2025

JOB DESCRIPTION

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Vancouver is seeking a Data Engineer, reporting to the Senior Manager of Data Science & Analytics working out of the Richmond, BC office. The Data Engineer will be primarily assigned to the Tech Ops Analytics portfolio.
This role will help Boeing transform our industry through the application and continuous improvement of advanced analytics and machine learning in the aviation domain. The position will be embedded in a multi-disciplinary data science team producing industry-leading insights, and will use their data management, software development and infrastructure skills to help build bigger, faster, and better cloud-based tools and pipelines. They will be broadly responsible for the design, implementation and support of data pipelines, including the data models, data contracts, and model features.
This is a challenging role, requiring versatile problem-solver with keen conceptual mind, ontological thinking, an understanding of data science and valuable data features, as well as computational load and performance. They will work closely with aviation engineers and data scientists in a problem-solving role, helping bridge the gap from data into working data science models. Although primarily responsible for data management, the Data Engineer must be a versatile team player, and may be called upon to assist in back-end development, cloud deployment, and even data science from time to time. They must be able to adapt, find the knowledge they need, learn, and make decisions as needs arise.

Position Responsibilities:

• Support team data science modeling and problem-solving efforts.
• Propose data engineering solutions to support different modeling strategies.
• Design, build and support healthy, automated, and repeatable data ingestion and processing pipelines.
• Raw data ingestion, cleansing, and data contracts.
• Design data models and data contracts.
• Monitor and maintain data quality, integrity, consistency.
• Help design and build scalable, reliable, and high-performance systems and environments.
• Effectively contribute to building the overall knowledge and expertise of the technical team.
• Participate in work and code reviews with the team.
• Take part in implementation and support of continuous integration and continuous delivery (CI/CD).
• Work on systems to monitor system health, data quality and scientific performance.
• Implement data access-control for compliance with data governance policies.
• Contribute to technical documentation.
• Collaborate with developers, data analysts, data scientists and organizational leaders to identify opportunities for process improvements.
• Exhibit sound judgment, keen eye for details and tenacity for solving difficult problems.

Basic Qualifications (Required Skills/Experience):

• Minimum 3-year Cloud deployment experience (Azure preferred).
• Minimum 3 years’ experience in relational and non-relational database technologies.
• Minimum 3-years’ experience supporting data science and analytics projects and/or infrastructure.
• Must be proficient in Python.
• A technical degree/diploma in a related field of study.
• Individual must not pose a risk for safeguarding controlled goods.
• Must be legally able to work in Canada.

Preferred Qualifications (Education/Experience):

• Experience working with Large Language Models (LLM) and Natural Language Processing (NLP) technologies.
• Experience working with graph databases, knowledge graphs, and their languages (e.g. GraphQL, Cypher).
• Experience designing and implementing data quality monitoring solutions.
• Expertise in data modeling principles/methods.
• Experience with development, deployment and version control tools.
• Experience with production-level Software Development.
• Experience in DevOps technologies (e.g. CI/CD, Docker) and practices.
• Experience with cloud-deployed APIs and micro-services is an asset.
• Experience in pipeline software is an asset.

Additional Information:
This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.
Applications for this position will be accepted until Aug. 14, 2025
Export Control Requirements: This is not an Export Control position.

• Support team data science modeling and problem-solving efforts.
• Propose data engineering solutions to support different modeling strategies.
• Design, build and support healthy, automated, and repeatable data ingestion and processing pipelines.
• Raw data ingestion, cleansing, and data contracts.
• Design data models and data contracts.
• Monitor and maintain data quality, integrity, consistency.
• Help design and build scalable, reliable, and high-performance systems and environments.
• Effectively contribute to building the overall knowledge and expertise of the technical team.
• Participate in work and code reviews with the team.
• Take part in implementation and support of continuous integration and continuous delivery (CI/CD).
• Work on systems to monitor system health, data quality and scientific performance.
• Implement data access-control for compliance with data governance policies.
• Contribute to technical documentation.
• Collaborate with developers, data analysts, data scientists and organizational leaders to identify opportunities for process improvements.
• Exhibit sound judgment, keen eye for details and tenacity for solving difficult problems