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Data Engineer Seattle, WA - Hybrid 2-3 days per week

VeridianTechSeattle, WA🇺🇸United StatesPosted Oct 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Seattle, WA, United States
Posted
Yesterday
EncryptionSnowflakeAgileAzureData PipelineDatabricksJiraTerraformUnitydbt

Job Description

Data Engineer - Lululemon - Seattle, WA

Seattle, WA - Hybrid 2-3 days per week

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.

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