Data Engineer, AI & Analytics
Core
Build and maintain the core data foundation (pipelines, modeling, data marts) for an AI-native growth firm, enabling agency teams, clients, and AI initiatives to access reliable marketing and advertising data.
Role type
Senior Data Engineer (AI & Analytics)
Builds
Production-grade data pipelines, semantic layers, and AI-ready data models for multi-tenant marketing data.
Domain
Marketing technology, advertising data, cloud data engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, dbt, Snowflake, cloud-native infrastructure (GCP), Git/CI/CD, AI-agentic workflows, data modeling, data quality management
Preferred skills
Marketing/advertising data experience, measurement/attribution knowledge, server-side tagging, retail/marketplace data
Technologies
Snowflake, GCP, dbt, Python, SQL, Cursor, Claude Code, GitHub Copilot
Responsibilities
Design and maintain end-to-end data lifecycles from ingestion to serving; build ingestion handling API changes and rate limits; model across diverse ad platforms and CRMs; build semantic layers for AI-generated SQL; collaborate cross-functionally on data solutions; monitor and optimize pipeline performance and quality.
Seniority
Senior, hands-on IC