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 Engineering, AI, Analytics, Machine Learning. Support data science modeling efforts. Support problem-solving efforts”

Industry & Context.

Aviation
Problems you'll solve

Versatile problem-solver; Conceptual mind

Eligibility Requirements

Work onsite at Richmond location, Not sponsor visa, Not pose risk, Eligible for US export-controlled data

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, AI/ML and analytics projects, Minimum 2-years of experience with Python, Legally able to work in Canada, Not pose a risk for safeguarding controlled goods, Eligible to handle US export-controlled data

Nice to Have

Experience working with Databricks, Experience working with Unity Catalog, Experience working with Databricks Genie, Technical degree/diploma in related field, Experience working with Large Language Models, Experience working with NLP technologies, Experience working with graph databases, Experience working with knowledge graphs, Experience with GraphQL, Experience with Cypher, Experience designing data quality monitoring solutions, Expertise in data modeling principles, Experience with development tools, Experience with deployment tools, Experience with version control tools, Experience with production-level Software Development, Experience with spec-driven development, Experience with DevOps technologies, Experience with CI/CD, Experience with Docker, Experience with cloud-deployed APIs, Experience with micro-services, Experience in pipeline software

What You'll Do.

Support data science modeling efforts

Support problem-solving efforts

Support sensor data ingestion

Support anomaly detection

Support predictive maintenance tooling

Propose data engineering solutions

Support modeling strategies

Support AI/ML systems

Support agentic systems

Design data ingestion pipelines

Build data ingestion pipelines

Support data ingestion pipelines

Design processing pipelines

Build processing pipelines

Support processing pipelines

Implement delta tables

Implement knowledge graphs

Implement MLOps pipelines

Maintain data quality

Monitor data integrity

Maintain data integrity

Monitor data consistency

Maintain data consistency

Monitor system health

Monitor scientific performance

Design scalable systems

Build scalable systems

Design reliable systems

Build reliable systems

Design high-performance systems

Build high-performance systems

Take part in CI/CD implementation

Take part in CI/CD support

Contribute to technical documentation

How You'll Work.

Team & Collaboration

Multi-disciplinary data science team; Aviation engineers; Data scientists

Full Job Description

Data Engineer **Company:** Boeing Vancouver Boeing Vancouver is seeking a **Data Engineer (AI & Analytics)**, reporting to the Senior Manager of AI & 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. Boeing Vancouver Data Engineers may support multiple products, capabilities or teams as needs arise and priorities dictate. This **Data Engineer** , embedded in the **Schedule Reliability & Intelligence **will primarily support the development of predictive maintenance services and sensor-based analytics tools in support of such products and services as Boeing Aircraft Health Monitoring, Insight Accelerator and Self-Service Analytics. Areas of practice will including anomaly detection, AI-assisted prognostics and the development of orchestrated agentic AI tools. A successful candidate will exhibit interest and proficiency in the handling of big, time-series data sets, unstructured text data, knowledge graphs, data mesh technology and the implementation of AI/ML Ops pipelines. 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. Although primarily responsible for d

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