Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data Engineer building cloud-based data pipelines and analytics infrastructure for Boeing’s aviation programs. Supporting machine learning, data governance, and high-performance systems from Richmond/Vancouver.
Responsibilities
- Lead cross-functional teams to determine, define and deploy complex predictive/prescriptive analytic solutions
- Evaluate business objectives and determine stakeholder needs
- Choose methods, define algorithms, validate and deploy models
- Perform data preparation and enhancements to models
- Support data science modeling, analytical applications, and problem-solving efforts
- Propose data engineering solutions for different modeling strategies
- Design, build and support automated data ingestion and processing pipelines
- Ingest and cleanse raw data and manage data contracts
- Design data models and data contracts
- Monitor and maintain data quality, integrity, and consistency
- Help design and build scalable, reliable, high-performance systems and environments
- Participate in work and code reviews
- Support continuous integration and continuous delivery (CI/CD)
- 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 on process improvements
- Provide technical expertise and solve difficult problems
Requirements
- Minimum 4-years’ Cloud deployment experience (Azure preferred)
- Minimum 4 years’ experience in relational and non-relational database technologies
- Minimum 4-years’ experience supporting data science and analytics projects and/or infrastructure
- Must be proficient in Python
- Provide consent to Canadian Government Controlled Goods Program (CGP) assessment and willing and eligible to work on government and defense-related programs
- 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
- Experience working with Databricks
- A technical degree/diploma in a related field of study (preferred)
- 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
- Successful candidates must satisfy the Company’s Conflict of Interest (COI) assessment process
- Candidates must be legally authorized to work in Canada
- This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment
- Employer will not sponsor applicants for employment visa status
Benefits
- Relocation assistance is not a negotiable benefit for this position.
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