Job Description

Data Engineer

Company: Boeing Vancouver

Job ID: 00000347832

Date Posted: 2022-10-25-07:00

Location: CAN - Richmond, Canada

Qualifications:

Boeing Vancouver is seeking a Data Engineer, reporting to the Manager of Data Science & Analytics working out of the Richmond, BC office. The Data Engineer will be primarily assigned to the Government Services Analytics portfolio, supporting the ongoing development and deployment of data science cloud services.

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 machine learning team and broader data science group

Implement and support continuous integration and continuous delivery (CI/CD)

Promote test-driven development

Implement systems to monitor system health, data quality and scientific performance

Implement access-control and security systems for compliance with data governance policies

Translate business needs into technical requirements

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.

This position allows telecommuting. The selected candidate will be required to perform some work onsite in Richmond, BC.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

Must be legally able to work in Canada

Must be eligible for authorization under the Canadian Controlled Goods Program and consent to Canadian Government Controlled Goods Program assessment

Individual must not pose a risk for safeguarding of controlled goods

Must be eligible for Secret Level II security clearance

A technical degree/diploma in a related field of study

Minimum 1-year Cloud deployment experience (Azure preferred)

Minimum 3 years' experience with production-level Software Development

Minimum 2 years' experience in relational and non-relational database technologies

Minimum 1-year experience supporting data science and analytics projects and/or infrastructure

Must be proficient in Python

Preferred Qualifications (Education/Experience):

Expertise in data modeling principles/methods including conceptual, logical & physical Data Models

Experience with development, deployment and version control tools (e.g., Eclipse, Git, Jira, VersionOne)

Experience in DevOps technologies (e.g. CI/CD, Docker) and practices is an asset

Proficiency in data quality, test engineering and test development is an asset

Experience with cloud-deployed APIs and micro-services

Experience in pipeline software (e.g., airflow, luigi) is an asset

Experience with monitoring and logging tools

Typical Education and Experience:
Technical bachelor's degree and typically 5 or more years' related work experience or a Master's degree with typically 3 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree, or greater, in a mathematic, scientific or information technology field of study.

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

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.

This position requires the ability to obtain and maintain a secret security clearance Level II from the Canadian government. Requirements to obtain a secret security clearance can be found at:

To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below:

Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.

Relocation: No relocation available

Export Control Requirement: Not an export control position

Safety Sensitive: This is not a safety sensitive position

Contingent Upon Award Program This position is not contingent upon program award

Experience Level: Individual Contributor - 2

Job Type: Regular

Job Code: BEH7I2 (B71)