Boeing Vancouver
Aviation
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Boeing Vancouver. Skills: Data pipelines, Cloud-based tools, Machine learning, Data management. Support team data science modeling. Support analytical applications”
What You'll Achieve.
Produce industry-leading insights; Build bigger tools; Build faster tools; Build better tools; Bridge gap to models; Bridge gap to applications
Industry & Context.
Versatile problem-solver; Keen conceptual mind; Ontological thinking; Computational load; Performance; Problem-solving; Tenacity for solving difficult problems
Consent to CGP assessment, Eligible for Secret Level II security clearance, Eligible to handle US export-controlled data, Must not pose a risk for safeguarding controlled goods
What They're Looking For.
Must Have
Minimum 3-year Cloud deployment experience, Minimum 3 years’ experience in relational and non-relational database technologies, Minimum 3-years’ experience supporting data science and analytics projects, Proficient in Python, Consent to Canadian Government Controlled Goods Program (CGP) assessment, Legally able to work in Canada, Individuals must not pose a risk for safeguarding of controlled goods, Eligible for Secret Level II security clearance, Eligible to handle US export-controlled data
Nice to Have
Experience working with Databricks, Experience working with Large Language Models (LLM), Experience working with Natural Language Processing (NLP) technologies, Experience working with graph databases, Experience working with knowledge graphs, 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, Experience with cloud-deployed APIs, Experience with micro-services, Active Secret Level II, Experience in pipeline software
What You'll Do.
Support team data science modeling
Support analytical applications
Support problem-solving efforts
Propose data engineering solutions
Design automated data ingestion pipelines
Build automated data ingestion pipelines
Support automated data ingestion pipelines
Design repeatable data ingestion pipelines
Build repeatable data ingestion pipelines
Support repeatable data ingestion pipelines
Design data cleansing
Support data cleansing
Design data contracts
Support data contracts
Maintain data quality
Monitor data integrity
Maintain data integrity
Monitor data consistency
Maintain data consistency
Design scalable systems
Build scalable systems
Design reliable systems
Build reliable systems
Design high-performance systems
Build high-performance systems
Contribute to team knowledge
Participate in work reviews
Participate in code reviews
Monitor system health
Monitor scientific performance
Implement data access-control
Contribute to technical documentation
Collaborate with developers
Collaborate with data analysts
Collaborate with data scientists
Collaborate with organizational leaders
Identify process improvements
How You'll Work.
Team & Collaboration
Multi-disciplinary data science team; Aviation engineers; Data scientists; Developers; Data analysts; Organizational leaders
Communication Scope
Technical documentation
Process & Methodology
CI/CD
Full Job Description
Data Engineer **Company:** Boeing Vancouver 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. **_Position Responsibilities_** : * 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
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