Senior Data Engineer, Ads

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Design and own core ads data models, including fact/dim tables, canonical datasets, and aggregation layers.
• 2
  Build and maintain the ML data that enables ads ranking, delivery, and targeting, including feature development, label generation workflows, intra-day training, and ML input observability.
• 3
  Build conversion measurement pipelines and integrate third-party attribution data, ensuring attribution accuracy and data parity across measurement surfaces.
• 4
  Build batch and near real-time pipeline infrastructure across the ads ecosystem, pushing toward lower-latency data for ML and reporting use cases.
• 5
  Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure for critical ads pipelines at massive scale.
• 6
  Mentor engineers through technical challenges, code and design reviews, and ownership of complex projects.

RequirementsAI-extracted

• 5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains.
• Deep expertise in digital advertising data engineering, specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure.
• Expert-level SQL and Python, strong ability to design performant, maintainable data models and write production-quality pipeline code.
• Proven hands-on experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets.
• Strong technical communication skills with the ability to drive alignment, influence prioritization, and earn adoption from technical stakeholders.

Perks & BenefitsAI-extracted