Data Engineer, AI & Analytics

📋 Description

• Design, build, and maintain the core data foundation: ingestion, modeling, and data marts
• Build ingestion resilient to API changes and rate limits from ad platforms
• Model across sources to reconcile spend, impressions, conversions, revenue
• Collaborate with cross-functional teams to translate requirements into data solutions
• Develop semantic layers and AI-ready data foundations for analytics
• Use AI-agentic workflows to accelerate development and document patterns

🎯 Requirements

• 3+ years in data/analytics engineering; 1+ year owning a dbt project
• Advanced Python and SQL for production data pipelines
• Deep dbt expertise (Jinja, tests, snapshots, DAG management)
• Strong Snowflake expertise and cloud data stack know-how
• Experience modeling in multi-tenant environments
• Familiarity with marketing datasets, UTMs, attribution windows

🎁 Benefits

• Remote-friendly team with global collaboration
• Opportunity to work on AI-driven data initiatives
• Equal Opportunity Employer; diverse, inclusive culture