Data Engineer, Cloud & ML Pipelines (Hybrid Canada)

The Boeing Company; Richmond; Hybrid; CAD 101,000 - 179,000; Full time

Job summary

The Boeing Company in Vancouver requires a Data Engineer to join a multidisciplinary team focused on advanced analytics and scalable data pipelines in a hybrid Richmond, BC setting. You will design data contracts, build pipelines, and support data science workflows with a climate of continuous improvement.

You will work closely with engineers and data scientists, applying Python coding, cloud deployment, and data modeling to deliver reliable, enterprise-grade data products for aviation

Qualifications

• Minimum 4 years’ Cloud deployment experience (Azure preferred).
• Minimum 4 years’ experience with relational and non-relational database technologies.
• Minimum 4 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 to handle US export-controlled data.

Responsibilities

• Leads cross-functional teams to determine, define and deploy complex predictive/prescriptive analytic solutions to meet business objectives.
• Evaluates business objectives and determines stakeholder needs.
• Chooses best-fit methods, defines algorithms, validates and deploys models to achieve business results.
• Performs data preparation and enhancements to models.
• 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, reliable, and high-performance systems and environments.
• Contribute to the overall knowledge and expertise of the technical team.
• Participate in work and code reviews; support CI/CD processes.
• Work on systems to monitor system health, data quality and scientific performance.
• Implement data access-control for governance compliance.
• Contribute to technical documentation.
• Collaborate with developers, data analysts, data scientists and leaders to identify process improvements.
• Exhibit sound judgment and tenacity for solving difficult problems.

Skills

Python

Cloud deployment

SQL/NoSQL

Data pipelines

CGP assessment

Canada work eligibility

US export controls

Education

Technical degree/diploma

Tools

Databricks

LLMs & NLP

Graph databases

GraphQL/Cypher

CI/CD & Docker

Cloud APIs & micro-services

Job description

The Boeing Company in Vancouver requires a Data Engineer to join a multidisciplinary team focused on advanced analytics and scalable data pipelines in a hybrid Richmond, BC setting. You will design data contracts, build pipelines, and support data science workflows with a climate of continuous improvement.

You will work closely with engineers and data scientists, applying Python coding, cloud deployment, and data modeling to deliver reliable, enterprise-grade data products for aviation