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Description

We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions.

In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency.

As a Software Development Engineer on the Log-Level Data team, you will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency for Amazon's largest advertising partners.

Key job responsibilities
- Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs)
- Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns and best practices
- Develop components of data storage solutions and access layers, working within existing system architectures
- Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently
- Implement data quality checks, validation logic, and monitoring for assigned data pipelines and services
- Optimize performance and cost efficiency of existing data processing jobs and queries
- Write clean, well-tested code and participate in code reviews to maintain high engineering standards
- Collaborate with senior engineers to understand technical requirements and contribute to design discussions
- Debug and resolve production issues, participating in on-call rotations as needed
- Document systems, processes, and runbooks to support operational excellence