Data Engineer 2 - Customer Insights Delivery (Hybrid - Seattle, WA)

What you'll do

• Build and maintain production dbt models for customer, marketing, and loyalty analytics.
• Contribute to the modernization of dbt and semantic layers by migrating transformations and writing documentation.
• Use AI tools like LLM-assisted development to enhance pipeline efficiency and reduce manual effort.
• Deliver trusted datasets that support marketing campaigns, personalization models, and customer health metrics.
• Participate in code reviews and apply best practices for testing, documentation, performance, and cost optimization.
• Monitor pipelines and provide production support alongside Customer Analytics and Data Science teams.

What we're looking for

• 2+ years of experience writing production-quality SQL with proficiency in BigQuery or similar cloud data warehouse.
• 1+ year of hands-on experience building dbt models and familiarity with dbt fundamentals like testing and documentation.
• 1+ year of experience in modern programming languages such as Python or Java.
• Strong background in data modeling and data warehousing.
• Experience working in a cloud environment, preferably GCP or AWS.
• Curiosity and passion for applying AI/ML to data engineering challenges.