Boeing Vancouver

aviation

DataEngineer

$82–145k Richmond, British Columbia, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

aviation
Problems you'll solve

Versatile problem-solver; Keen conceptual mind; Ontological thinking; Computational load and performance; Bridge gap from data; Solve difficult problems

Eligibility Requirements

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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