Data Engineer
Core
Build reliable data pipelines and models from advertising platforms to power reporting, analytics, and activation for client business outcomes.
Role type
Data Engineer
Builds
Production data pipelines and analytics-ready datasets
Domain
Digital advertising and media optimization
Deliverable
production ML models | product features
Required skills
Cloud data warehouse engineering, SQL, Python, API integration, data modeling, workflow orchestration, data quality monitoring
Preferred skills
dbt, BI tools (Looker Studio/PowerBI), marketing measurement (MMM/MTA), clean-room environments
Technologies
BigQuery, Redshift, Snowflake, Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, Airflow, Dagster, Prefect, Git
Responsibilities
Design and maintain production data pipelines from ingestion to analytics-ready models; Develop and manage API integrations with major advertising platforms; Model campaign and performance data into clean datasets; Monitor pipeline health and troubleshoot data discrepancies; Partner with analysts to translate reporting needs into scalable models; Contribute to data quality and engineering standards
Seniority
Mid-level, hands-on IC