Senior Data Engineer, Ads

7+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (eg.

ad delivery, ranking, targeting, identity)

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 with demonstrated ability to write performant, maintainable, and scalable code

Digital advertising data engineering expertise with hands-on experience building high-throughput data pipelines for ad serving, conversion tracking, advertising measurement, or integrating and normalizing third-party advertising data from external platforms and partners

Proven hands-on experience implementing and debugging data quality audits, monitoring systems, and automated remediation for massive datasets (billions+ rows)

Create and maintain complex, enterprise-scale data pipelines and foundational datasets while defining technical strategy and architectural direction for advertising products

Design and build sophisticated ETL processes, data models, and analytical frameworks using SQL, Python, and modern data stack technologies

Build and maintain the data infrastructure that powers Ads ML - feature pipelines, label generation workflows, and training data systems that enable our ranking and delivery models

Develop data quality frameworks, monitoring systems, automated anomaly detection, and alerting infrastructure that operates at massive scale

Collaborate with data scientists, ML engineers, and product teams to identify high-impact data infrastructure opportunities, owning design through implementation

Drive cross-functional technical initiatives solving sophisticated data engineering challenges