Data Engineer, AI & Analytics
Summary
Remote data engineer building and maintaining data pipelines from ad platform APIs, developing dbt semantic layers and client-facing data marts, implementing CI/CD with automated testing, optimizing pipeline cost/performance, and leveraging AI agentic workflows for marketing analytics.
- Build ingestion from ad platform APIs
- Collaborate with product, engineering, and client teams
- Create data marts for clients and internal use
- Design build maintain data pipelines
- Develop dbt semantic layer and metric definitions
- Implement CI/CD and automated testing
- Model marketing data for reconciliation
- Monitor & resolve data quality issues
- Optimize pipeline cost and performance
- Use AI agentic workflows for data development