Data Engineer, AI & Analytics
Summary
Data Engineer role building data marts, semantic layers, and ingestion pipelines for AI and analytics; models marketing spend, impressions, and conversions using dbt and SQL while partnering with product engineering and client teams.
- Build data marts and semantic layer for reporting and AI
- Collaborate with product engineering and client teams on data solutions
- Create metric definitions for consistent SQL answers
- Design build and maintain data ingestion pipelines
- Develop ingestion handling API changes rate limits and conversion restatements
- Implement AI ready data models and clean semantic layers
- Implement dbt incremental strategies and testing
- Model and reconcile marketing spend impressions conversions and revenue
- Monitor resolve data quality issues and optimize pipeline cost and performance