Marketing Data Engineer - Ad Tech (US hours)

Description: Own the data pipelines and data-quality foundation for dashboards, pacing outputs, and reporting. Build and maintain API/ETL ingestion from DSPs, ad servers, and other advertising platforms. Normalize campaign data and maintain metric definitions across dashboards and reporting. Manage cloud-warehouse structures and client data deliveries. Reconcile pipeline output against raw platform exports and investigate variances. Build automated data-quality checks, alerting, and monitoring for pipeline/dashboard health. Manage service-account/API credential workflows in client environments. Support platform migrations and rebuild data integrations without reporting discontinuity. Collaborate with Dashboard Developer and Programmatic Lead on definitions, mapping, and release validation. Requirements: 4+ years in data engineering/analytics engineering with production ETL/API responsibility. Strong SQL and at least one production programming/scripting language (e.g., Python). Experience with cloud data warehouses (e.g., BigQuery, Snowflake). Experience reconciling data across multiple source systems and designing data-quality controls. Ability to own production pipelines, troubleshoot failures, and document data definitions clearly. Benefits: Opportunity to work with cutting-edge advertising technology. Collaborate with a dynamic team focused on data integrity and quality.