Data Engineer, AI & Analytics
Summary
Designs and maintains data pipelines for a digital marketing agency, ingesting ad-platform APIs, building semantic layers and client-specific data marts, and modeling marketing metrics while using AI agentic workflows to accelerate development.
- Build ingestion from ad platform APIs
- Build semantic layer and metric definitions
- Collaborate cross functionally to translate requirements into data solutions
- Create client specific marts and overrides
- Design, build, and maintain data pipelines
- Document reusable development patterns
- Model and reconcile marketing metrics across sources
- Monitor and resolve data quality issues
- Optimize pipelines for cost and performance
- Use AI agentic workflows to accelerate development