Support team data science modeling 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
Effectively contribute to building the overall knowledge and expertise of the technical team
Participate in work and code reviews with the team
Take part in implementation and support of continuous integration and continuous delivery (CI/CD)
Work on systems to 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 to identify opportunities for process improvements
Exhibit sound judgment, keen eye for details and tenacity for solving difficult problems.

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.
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.

This requisition is for a locally hired position in Canada.
The employer is Boeing Canada.
Candidates must be legally authorized to work in Canada.
Benefits and pay are determined by Canada and are not on Boeing US-based payroll.
This is not an expatriate assignment.

Data Engineer

Key skills