Highlights
We own and operate the premier advanced analytics capability within Amazon Ads, delivering innovative AI, modeling, and data solutions that help Holding Companies, independent agencies, technology integrators, and large-scale advertisers make smarter, faster, and more impactful advertising decisions. Log-level data - granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs - provides advertisers with visibility into individual ad impressions, bid prices, viewability scores, and supply path.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Build the foundational infrastructure to capture, process, store, and analyze petabyte-scale log-level advertising data - delivering unprecedented transparency into the programmatic supply chain for Amazon"s most strategic advertising partners. Your work will directly empower teams to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain integrity.
We own and operate the premier advanced analytics capability within Amazon Ads, delivering innovative AI, modeling, and data solutions that help Holding Companies, independent agencies, technology integrators, and large-scale advertisers make smarter, faster, and more impactful advertising decisions. Log-level data - granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs - provides advertisers with visibility into individual ad impressions, bid prices, viewability scores, and supply path. This is a greenfield infrastructure challenge at massive scale, and you"ll be building it from the ground up.
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
- 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 data pipelines and services
- Optimize performance and cost efficiency of 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 contribute to design discussions and architectural decisions
- Debug and resolve production issues, participating in on-call rotations as needed
- Document systems, processes, and runbooks to support operational excellence
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
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