Data Engineer

Boeing

. Help Boeing transform the aviation industry through advanced analytics and machine learning .

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 cloud deployment, particularly with Azure, and proficiency in Python for data science and analytics projects. Capable of designing and implementing data pipelines, ensuring data quality, and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Cloud Deployment (Azure)Python ProficiencyData Pipeline DesignData Modeling PrinciplesDevOps Technologies (CI/CD, Docker)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementMachine LearningData Quality MonitoringRelational Database TechnologiesNon-Relational Database TechnologiesLarge Language Models (LLM)Natural Language Processing (NLP)Graph DatabasesData ContractsAutomated Data Ingestion

Soft Skills

CollaborationProblem-SolvingCommunicationLeadership

Tools & Technologies

DatabricksCI/CDDockerGraphQLCypher

Certifications & Qualifications

Canadian Government Controlled Goods Program (CGP) Assessment

Industry Keywords

Aviation IndustryPredictive AnalyticsPrescriptive AnalyticsData GovernanceControlled Goods

Tech Stack

Tools & technologies

AzureCloudDockerGraphQLPython

About the role

Key responsibilities & impact

Help Boeing transform the aviation industry through advanced analytics and machine learning
Build cloud-based tools and pipelines using data management, software development and infrastructure skills
Design, implement and support data pipelines, including data models, data contracts and model features
Work closely with aviation engineers and data scientists to bridge data into working data science models and applications
Assist with back-end development, cloud deployment and data science as needed
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
Prepare and enhance data for 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 establish data contracts
Design data models and data contracts
Monitor and maintain data quality, integrity and consistency
Help build scalable, reliable and high-performance systems and environments
Contribute to technical team knowledge and expertise
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

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 preferred
A technical degree/diploma in a related field of study preferred
Experience working with Large Language Models (LLM) and Natural Language Processing (NLP) technologies preferred
Experience working with graph databases, knowledge graphs, and their languages (e.g. GraphQL, Cypher) preferred
Experience designing and implementing data quality monitoring solutions preferred
Expertise in data modeling principles/methods preferred
Experience with development, deployment and version control tools preferred
Experience with production-level Software Development preferred
Experience in DevOps technologies (e.g. CI/CD, Docker) and practices preferred
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
This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment

Benefits

Comp & perks

Relocation assistance is not a negotiable benefit for this position