Data Engineer, AI & Analytics

📋 Description

• Design, build, and maintain the core data foundation (ingestion, modeling, and data marts) for
• Build ingestion that adapts to API changes, deprecated fields, rate limits, and retroactive
• Model across sources to reconcile spend, impressions, conversions, and revenue across multiple
• Collaborate with cross-functional teams to translate requirements into data solutions and support
• Develop semantic layers and metric definitions for AI-generated SQL with consistent results.
• Use AI-agentic workflows to accelerate development and document patterns for reuse.

🎯 Requirements

• 3+ years in data or analytics engineering, including 1+ years owning a production dbt project.
• Advanced Python and SQL, with production-grade data pipelines and modeling.
• Deep dbt expertise (incremental vs full-refresh, Jinja/macros, tests, snapshots, DAG management).
• Strong Snowflake experience and cloud data stack operation autonomy.
• Experience modeling in a multi-tenant environment and handling client vs core data layers.
• Working knowledge of marketing/ad datasets, UTMs, attribution windows, and warehouse-vs-platform

🎁 Benefits

• Power Digital’s culture emphasizes diversity and equal opportunity; inclusive environment for all
• Opportunity to work on cutting-edge data infrastructure powering AI initiatives.
• Collaborative, cross-functional teams across product, engineering, and client services.