Lead Data Engineer

The Boeing Company; Richmond; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading aerospace manufacturer in Richmond, Canada is seeking a Lead Data Engineer to deliver innovative flight and maintenance data analytics products. This role involves collaborating with multiple stakeholders in an Agile setting, ensuring effective data analysis and product development. Candidates should have over 8 years of experience in software development, expertise in SQL, Python, and a strong understanding of data pipeline orchestration tools. Engagement in cloud technologies is preferred.

Qualifications

• 8+ years of experience in software development or data analysis.
• 5+ years with SQL, Python, or R for data manipulation.
• Expertise in data pipeline orchestration tools.

Responsibilities

• Collaborate in Agile environment with PO and Product Managers.
• Research and refine complex system requirements.
• Lead activities for validating system functionality.

Skills

SQL

Python

R

Airflow

Azure Data Factory

Cloud development

Tools

Databricks

Spark

Job description

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

At Boeing Digital Services, you’ll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency.

Boeing Vancouver is seeking Lead Data Engineer, reporting to the Software Application Developer - Product Manager, working out of the Richmond BC office.

The Lead Data Engineer will be responsible for delivery of cutting-edge flight and maintenance data analytics products. As part of an integrated product team the Lead Data Engineer will be part of technical team taking responsibilities on Data Analysis, Data Maintenance and Data product development.

This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation, technical strategies and roadmaps for the success of each product and initiative.

Position Responsibilities

• Collaborate with team members, PO, Product Managers, Data Scientists in an Agile environment.
• Research complex or multiple processes, applications, systems and data to identify functional requirements for application or system design.
• Consult with customers to clarify and refine complex requirements.
• Interprets and translates complex requirements into functional specifications.
• Leads and performs activities to develop and execute tests to validate system functionality against specifications.
• Help design and build scalable, reliable, and high-performance systems and environments.
• Participate in work and code reviews with the team.
• Take part in implementation and support of continuous integration and continuous delivery (CI/CD).
• Effectively contributes to building the overall knowledge and expertise of the technical team.
• Think big on the future of our products and work closely with senior developers and tech lead in improving current systems on HA, Scalability, Fault Tolerance, HA, performance and Operation Excellence.
• Apply your knowledge of cloud services and solutions provided by GCP, Azure or AWS

Basic Qualifications (Required Skills/Experience)

• 8+ years of progressive experience in software development and/or data analysis.
• 5+ years of experience with languages like SQL, Python, or R for data manipulation and analysis.
• Expertise in Data pipeline orchestration tools (Airflow, Azure Data Factory).
• Expertise in Database design principles, normalization/denormalization.
• 3+ Working experience with Cloud development.
• 3+ years of experience with production-level Software Development.
• 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)

• Rich domain knowledge on aviation industry; experience on large scale flight data; Maintenance Engineering Data
• Databricks platform experience with Spark ecosystem
• Experience in Data governance frameworks implementation
• Experience in Data quality tools and methodologies