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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 Manager of Data Science & Analytics working out of the Richmond, BC office. 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 and applications. 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.
Job Responsibility
Support team data science modeling, analytical applications, 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
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
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 for Secret Level II security clearance
Must be eligible to handle US export-controlled data
Nice to have
Experience working with Databricks
A technical degree/diploma in a related field of study
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
Active Secret Level II
Experience in pipeline software is an asset
What we offer
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations