📋 Description

• Build data pipelines and models for client retention and personalization
• Collaborate with ML, solutions architect, and product teams
• Move from hypothesis to live tests with speed and quality
• Utilize AI coding tools to scaffold pipelines and tests
• Contribute to data foundation documentation and roadmap

🎯 Requirements

• ELT pipelines with dbt, Airflow, Fivetran
• Cloud data warehouse: Snowflake, BigQuery, or Redshift
• Strong data modeling (dimensional, star/snowflake)
• SQL + Python/Java/Scala proficiency
• Experience with AI coding assistants (Copilot, Cursor, Claude Code)
• Comfort with ambiguity in a discovery-stage team

🎁 Benefits

• Hybrid company with in-person days in SF
• Competitive compensation, health, 401k, and stipends
• Flexible time off and IKEA discounts
• Equity of opportunity in diverse, inclusive environment