Staff Data Engineer, Ads

Candidates should possess 7+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising or marketing technology domains. They must have 7+ years of direct implementation experience designing, coding, and maintaining complex data models and systems handling structured and unstructured data sources. Expert-level coding abilities in SQL, Python, and modern data engineering frameworks are required, along with demonstrated experience in digital advertising data engineering, building high-throughput data pipelines for ad serving, conversion tracking, advertising measurement, or integrating third-party advertising data. Proven experience implementing and debugging data quality audits, monitoring systems, and automated remediation for massive datasets is essential. Technical leadership through coding, including mentoring engineers via pair programming and code reviews, strong technical communication abilities, and a passion for solving complex problems through direct technical contribution are also necessary. Bonus points for passion for Discord or gaming, hands-on collaboration experience with data science, ML engineering, and product teams, and experience with modern data storage and processing technologies like BigQuery SQL, Airflow, and Dagster.