From Amazon's posting. “We” and “our” refer to the employer.
Build the attribution systems that connect ad interactions with real customer outcomes — processing more than 50 billion events per day to produce the measurements that power experiences across all of Amazon Ads and help millions of advertisers understand the true value of their campaigns. Attribution is at the heart of advertising measurement, and your work will directly influence how advertising budgets are optimized at global scale.
Building accurate attribution at Amazon scale is one of the most challenging engineering problems in advertising. Our systems connect signals across advertising products, customer journeys, devices, channels, and conversion sources — solving problems involving massive-scale data processing, distributed systems, identity and signal fragmentation, evolving privacy requirements, and complex attribution methodologies.
The measurements we produce provide foundational signals for reporting, campaign optimization, machine learning models, analytics applications, and emerging AI-powered advertising experiences.
What makes this role stand out:
50B+ events per day — petabyte-scale data pipelines using Spark, EMR, Apache Iceberg, DynamoDB, and other AWS services
Engineering meets science — you'll work directly with applied scientists and economists to translate new measurement methodologies into scalable production systems
End-to-end ownership — from understanding an ambiguous measurement problem through design, implementation, launch, and operations
Direct business impact — the data you produce helps millions of advertisers make better investment decisions and powers optimization across Amazon's full advertising suite
Build new, not just maintain — opportunities to design new architectures that improve scalability, data freshness, correctness, reliability, and cost efficiency
Key job responsibilities
Design, develop, and deliver software that produces measurement data consumed across Amazon's full advertising suite — spanning display, search, native, and video
Build and maintain petabyte-scale data pipelines and services using technologies like Spark, EMR, Apache Iceberg, and Java, inventing new big data paradigms to keep pace with rapid growth
Navigate complex attribution challenges with creative problem-solving — adapting to evolving technical requirements, privacy landscapes, and shifting priorities
Collaborate with applied scientists, economists, product managers, and engineers across teams to translate measurement methodologies into scalable production systems
Apply a variety of architectural approaches and design patterns to deliver maintainable, scalable, and well-tested solutions in a high-throughput environment
Drive engineering best practices including code reviews, testing strategies, operational excellence (alarms, runbooks, monitoring), and continuous improvement
Contribute to technical design discussions, identify trade-offs, and propose solutions that balance performance, cost, and long-term maintainability
About the team
The Measurement, AdTech, and Data Science (MADS) team defines and produces the metrics advertisers rely on to analyze the performance of their ad investments. Our charter is focused on the systems responsible for computing and distributing estimated conversions at massive scale. We work across a rich technology stack — combining AWS services like EMR, Kinesis, and AWS Batch with open-source technologies such as Spark and Presto — to deliver fast, reliable measurement at the speed advertisers demand.
Basic Qualifications
3+ years of non-internship professional software development experience
3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
Experience programming with at least one software programming language
2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Preferred Qualifications
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
