Data Engineer

Vancouver, BC
Hybrid
Posted Oct 17, 2026
1 position

$70–$75 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Associate
Application method: Direct apply is available

Job summary

Build, maintain, modernize, and document data pipelines using Azure Databricks, Snowflake, and related tools, while publishing secure data views for enterprise teams. Support CI/CD improvements, production monitoring and incident response, on-call rotations, and collaboration through Agile ceremonies and the engineering community.

Job details

Pay: 70-75/HR Contract Duration: 12 MO Work Arrangement: 3 days - hybrid We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position. Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position. Data Engineering Projects Data pipeline creation and maintenance. Stack: Azure Cloud, Azure Databricks, Snowflake Includes engineering, documentation, knowledge transfer to other engineers, future enhancements and maintenance Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other lululemon teams to consume Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog Leverage existing CICD process for pipeline deployment Adhere to PII encryption and masking standards DevOps Support Support improvements to current CICD process Production monitoring and failure support Provide an escalation point and participate in on-call support rotations Participate in discussions on how to improve DevOps Be aware of product release and how that impacts our business Take part in Agile ceremonies Perform engineering assignments using existing procedures and best practices Conduct research to aid in product troubleshooting and optimization efforts Participate in and contribute to our Engineering Community of Practice\ Qualifications: Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible 5+ years of relevant engineering experience Azure certification is preferred. Experience with DBT/DLT and working with Medallion Architecture Experience with Azure Cloud deployments and Configurations. Experience with CI/CD principles and best practices including Azure DevOps and Repos. Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts. Experience working with a Data Engineering team and understanding of Data Engineering practices. Experience with Terraform and ARM templates is preferred. Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space Experience with bug tracking and task management software such as JIRA, etc. Experienced in managing outages, customer escalations, crisis management, and other similar circumstances.

What you’ll do

Requirements

Requires 5+ years of relevant engineering experience and a bachelor’s degree or diploma in a related field, or equivalent experience; candidates with substantial relevant industry experience are also eligible. Preferred qualifications include Azure certification and experience with Azure cloud deployments, Databricks, Snowflake, DBT/DLT, Medallion Architecture, CI/CD, infrastructure templates, and outage or escalation management.