Boeing Vancouver
aviation
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Boeing Vancouver. Skills: Data pipelines, Data models, Python, Cloud deployment. Support data science modeling. Support analytical applications”
What You'll Achieve.
Transform industry through advanced analytics; Transform industry through machine learning; Produce industry-leading insights; Build bigger cloud-based tools; Build faster cloud-based tools; Build better cloud-based tools; Build bigger data pipelines; Build faster data pipelines; Build better data pipelines
Industry & Context.
Versatile problem-solver; Keen conceptual mind; Ontological thinking; Computational load and performance; Bridge gap from data; Solve difficult problems
Provide consent to Canadian Government Controlled Goods Program (CGP) assessment, 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, Satisfy Conflict of Interest (COI) assessment process, Ability to obtain and maintain a secret security clearance Level II from the Canadian government
What They're Looking For.
Must Have
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, 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 You'll Do.
Support data science modeling
Support analytical applications
Support problem-solving efforts
Propose data engineering solutions
Design data ingestion pipelines
Build data ingestion pipelines
Support data ingestion pipelines
Design automated pipelines
Build automated pipelines
Support automated pipelines
Design repeatable pipelines
Build repeatable pipelines
Support repeatable pipelines
Design data contracts
Monitor data integrity
Monitor data consistency
Design scalable systems
Build scalable systems
Support scalable systems
Design reliable systems
Build reliable systems
Support reliable systems
Design high-performance systems
Build high-performance systems
Support high-performance systems
Contribute to team knowledge
Participate in code reviews
Monitor system health
Monitor scientific performance
Implement data access-control
Contribute to technical documentation
Identify process improvements
How You'll Work.
Team & Collaboration
Work closely with aviation engineers; Work closely with data scientists; Collaborate with developers; Collaborate with data analysts; Collaborate with data scientists; Collaborate with organizational leaders
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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