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Boeing Vancouver is seeking a Senior Data Engineer working out of the Richmond, BC office.

Boeing Vancouver is seeking a Senior Data Engineer who can work with limited supervision to serve as the lead for business intelligence and data analytics solutions. They will provide design guidance and implementation for complex end-to-end analytic solutions. 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. 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

System Design:

• Design reliable architected streaming data pipelines

• Design complex tabular models for Power BI reporting (nice to have)

• Perform process/product/component evaluations and make recommendations on implementation details when not specified by existing standards/architecture

• Conduct reviews of processes, code, and database objects

• Document data flows/processes and systems

• Maintain and manage the data strategy and governance for curated/shared data models (datasets)

• Attain and apply understanding of business needs and technical factors to design data architectures that are aligned to strategy and standards

• Support a culture of data stewardship and management

• Collaborate and align practices with Enterprise Architecture

• Continually examine internal process and how Power Platform objects are being utilized and recommend and implement improvements

System Implementation:

• Construct robust and highly performant streaming data pipelines using Python and Spark

• Construct and deploy Tabular models in Azure Analysis Services and Power BI (nice to have)

• Manage and develop data models for reporting in Azure Synapse, MSSQL, and ADLS Data Lake

• Maintain/ensure data dictionary and lineage are kept current

• Employ GIT for tracking code changes in Azure DevOps

• Collaborate with team members to estimate and plan sprints

• Serve as technical expert for challenging issues regarding data

• Contribute to project conceptual and logical designs when no reference architecture exists

Ad-Hoc & Other:

• Generate ad-hoc data analysis utilizing Power BI, R, Python, Excel, and/or other tools.

• Report status and progress to Reporting Manager and Scrum Master

• Conduct training and mentoring of junior BI engineers/developers

• Stay up-to-date on all new Power BI features and functionalities and find ways to introduce them to the organization

• Other duties as assigned

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 to handle US export-controlled data.

• Individual must not pose a risk for safeguarding of controlled goods

• 3+ years of experience as a Data Engineer

• 3+ years of experience with Python

• 3+ years of experience with Spark

• 3+ years of experience with relational and non-relational database technologies

• Must have strong written and verbal communication skills

Preferred Qualifications (Education/Experience):

• A technical degree/diploma in a related field of study

• Experience with cloud deployment services (ie. Azure)

• Experience creating rich visuals using PowerBI or Tableau

• Demonstrated knowledge of Microsoft BI stack

• Demonstrated knowledge of ETL best practices (Performance by design, Delta loads, Control files, parallel bulk loading, etc.)

• Programming experience in C#

• Understanding of M Query (Power Query)

• Experience using XMLA

• Have significant experience in working with very large data sets(>1TB)

• Have experience working within Agile/Lean frameworks

• High degree of expertise in writing DAX expressions

• Ability to produce technical artifacts including use cases, ER diagrams, UML, etc.

• Ability to prepare and deliver presentations to technical audiences

Typical Education and Experience:
Technical bachelor’s degree and typically 9 or more years’ related work experience or a Master’s degree with typically 7 or more years’ or a PhD degree with typically 4 or more years’ related work experience or an equivalent combination of education and experience.

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.

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process.