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Boeing

Data Engineer

Boeing

. Lead cross-functional teams to determine, define and deploy complex predictive/prescriptive analytic solutions .

Posted 9/23/2026full-timeRichmond • CanadaMid-LevelSenior💰 CA$101,000 - CA$179,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing predictive and prescriptive analytic solutions, with a strong focus on data modeling, data quality monitoring, and cloud deployment. Proficient in Python and experienced in collaborating with cross-functional teams to enhance data science and analytics projects.

Highest-signal resume keywords
Cloud Deployment ExperienceProficient In PythonExperience With DatabricksData Modeling PrinciplesDevOps Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Predictive AnalyticsPrescriptive AnalyticsData PreparationData Engineering SolutionsData Quality MonitoringLarge Language ModelsNatural Language ProcessingGraph DatabasesSoftware DevelopmentCI/CD
Soft Skills
Problem-SolvingCollaborationTechnical Expertise
Tools & Technologies
AzureDockerDatabricksGraphQLCypher
Certifications & Qualifications
Canadian Government Controlled Goods Program Assessment
Industry Keywords
Data GovernanceData ContractsData IntegrityData IngestionMicro-Services

Tech Stack

Tools & technologies
AzureCloudDockerGraphQLPython

About the role

Key responsibilities & impact
  • Lead cross-functional teams to determine, define and deploy complex predictive/prescriptive analytic solutions
  • Evaluate business objectives and determine stakeholder needs
  • Choose methods, define algorithms, validate and deploy models
  • Perform data preparation and enhancements to models
  • Support data science modeling, analytical applications, and problem-solving efforts
  • Propose data engineering solutions for different modeling strategies
  • Design, build and support automated data ingestion and processing pipelines
  • Ingest and cleanse raw data and manage data contracts
  • Design data models and data contracts
  • Monitor and maintain data quality, integrity, and consistency
  • Help design and build scalable, reliable, high-performance systems and environments
  • Participate in work and code reviews
  • Support continuous integration and continuous delivery (CI/CD)
  • Monitor system health, data quality, and scientific performance
  • Implement data access control for compliance with data governance policies
  • Contribute to technical documentation
  • Collaborate with developers, data analysts, data scientists, and organizational leaders on process improvements
  • Provide technical expertise and solve difficult problems

Requirements

What you’ll need
  • Minimum 4-years’ Cloud deployment experience (Azure preferred)
  • Minimum 4 years’ experience in 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
  • Experience working with Databricks
  • A technical degree/diploma in a related field of study (preferred)
  • 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
  • Experience in pipeline software is an asset
  • Successful candidates must satisfy the Company’s Conflict of Interest (COI) assessment process
  • Candidates must be legally authorized to work in Canada
  • This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment
  • Employer will not sponsor applicants for employment visa status

Benefits

Comp & perks
  • Relocation assistance is not a negotiable benefit for this position.