Data Engineer
BoeingCanada,Richmond,CANSenior Manager of Data Science & Analytics working out of the.This role will help Boeing transform our industry through the application and continuous improvement of advanced analytics and machine ...Show more
Data engineer • richmond bc
Senior Manager of Data Science & Analytics working out of the.This role will help Boeing transform our industry through the application and continuous improvement of advanced analytics and machine ...Show more
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Company:
Boeing VancouverBoeing Vancouver is seeking a Data Engineer, reporting to the Senior Manager of Data Science & 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.
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 data management, the Data Engineer must be a versatile team player, and may be called upon to assist in back-end development, cloud deployment, and even data science from time to time. They must be able to adapt, find the knowledge they need, learn, and make decisions as needs arise.
Position Responsibilities:
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.
Basic Qualifications (Required Skills/Experience):
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.
Preferred Qualifications (Education/Experience):
Experience working with Databricks
A technical degree/diploma in a related field of study.
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
Conflict of Interest:
Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.
Additional Information:
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.
Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Salary pay range - $82,000.00 – $145,000.00 CAD
Language Requirements:
Not ApplicableEducation:
Not ApplicableRelocation:
Relocation assistance is not a negotiable benefit for this position.Security Clearance:
This position does not require a Security Clearance.Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.Contingent Upon Award Program
This position is not contingent upon program awardShift: