Data Engineer
Core
Build and run data pipelines for mobile-app events and marketing-platform data, transforming streaming events into trustworthy numbers for product, marketing, and executive teams.
Role type
Data Engineer (AI-native)
Builds
Data pipelines, warehouse models, and BI semantic layers for 60+ apps and 400M+ users
Domain
Consumer AI apps, mobile/web analytics, marketing attribution
Deliverable
production ML models
Required skills
SQL, data modeling, pipeline orchestration, cloud data warehousing, agentic coding tools
Preferred skills
Real-time streaming, dbt, Airflow, Node.js/TypeScript, Python, Docker, marketing analytics
Technologies
Google Cloud (BigQuery, Pub/Sub, Dataflow), Looker/LookML, dbt, Airflow, Node.js, Python
Responsibilities
Build and run batch ingestion pipelines, write SQL and maintain warehouse models, optimize BigQuery performance, contribute to Looker semantic layer, use agentic coding tools daily
Seniority
Mid-level (1–4 years experience)
