Data Engineer
Core
Build reliable data pipelines and models from advertising platforms to power reporting, analytics, and activation for media and client-services teams.
Role type
Mid-level production data engineer (advertising data)
Builds
Production data pipelines and analytics-ready datasets for media, analytics, and client-services teams
Domain
Digital advertising and media technology
Deliverable
production ML models | product features
Required skills
Cloud data warehouse engineering (BigQuery, Redshift, Snowflake), SQL, Python, API/connector integration, data modeling, workflow orchestration (Airflow, Dagster, Prefect), Git
Preferred skills
dbt, BI tools (Looker Studio, PowerBI), marketing measurement (MMM, MTA, clean-rooms), broader cloud services (GCP, AWS, Azure), lakehouse platforms (Databricks)
Technologies
BigQuery, Redshift, Snowflake, Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, Airflow, Dagster, Prefect, Git, dbt, Looker Studio, PowerBI, GCP, AWS, Azure, Databricks
Responsibilities
Design, build, and maintain production data pipelines from ingestion to analytics-ready models; Develop and manage API and connector-based integrations with major advertising platforms; Model campaign, spend, and performance data into clean, well-documented datasets; Monitor pipeline health, troubleshoot data discrepancies, and own fixes end-to-end; Partner with analysts and ad-ops to translate reporting needs into scalable data models; Contribute to data quality, documentation, and engineering standards
Seniority
Mid-level, hands-on IC
