Data Engineer

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.

At Boeing Digital Services, you’ll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency.

Boeing Vancouver is seeking a Data Engineer - Data & AI Platform, reporting to the Data & AI Platform Manager. The role is based out of the Richmond BC office.

As a Data & AI Platform Cloud DevOps / DataOps Engineer at Boeing, you will work as an DevOps with limited supervision to build and maintain our cloud environments, data pipelines, and manage Databricks in an Azure Cloud Platform. This position requires working closely with a team to ensure high availability and redundancy of all systems. The position will involve improving our build and data pipelines and ensuring successful delivery of new releases, developing infrastructure code, SRE-related tasks, and ultimately increasing value to the customer. This individual should have a persistent hunger to learn and solve problems in the pursuit of perfection.

Position Responsibilities

• Communicate effectively with other roles and skillsets, including data scientists, developers and product owners
• Help architect, design, and ultimately build scalable, reliable, and high-performance systems and environments
• Evangelize DevOps throughout the work, organization, and interactions with others
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Implement and support continuous integration and continuous delivery (CI/CD)
• maintain repeatable patterns and policies, discoverable automated templates, and policy as code
• Develop cloud infrastructure/platform code
• Implement DevOps and DataOps practices for data pipelines
• Implement systems to monitor system health, data quality
• Monitor health of the application and environment, and act to return system to health when alerted
• Implement access-control and security systems
• Monitor health of the application and environment, and act to return system to health when alerted
• Effectively contribute to building the overall knowledge and expertise of the technical team

Basic Qualifications (Required Skills/Experience)

• 2+ years of experience with Cloud deployment experience(Azure preferred).
• 3+ years of Software Development experience.
• Experience with development, deployment and version controltools (e.g. Gitlab, Atlassian).
• Experience with continuous integration tools (e.g., Jenkins/Gitlab CI/CD).
• Experience using modern database and storage systems (e.g. data mesh, blob storage, knowledge graphs).
• Experience supporting an AI or ML development team.
• 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.

Preferred Qualifications (Education/Experience)

• A technical degree/diploma in a related field of study.
• Experience with modern AI and ML technologies (Databricks Unity Catalog)
• Experience with DevOps practices for data pipelines
• Experience with infrastructure as code (IaC), preferably using Terraform
• Experience with secure system-to-system communication in the cloud
• Knowledge of Platform-as-a-Services offerings like Cloud Foundry & Databricks
• Experience with container orchestration using Kubernetes or similar
• Experience with data models and database design
• Experience operating in a production environment
• Experience with monitoring and logging tools, especially in the context of zero-trust architecture
• Familiarity with static code analysis tools, such as Coverity

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