Data Engineer II, Amazon Publisher Monetization, Insights, APM Insights

The Amazon Publisher Monetization (APM) team is shaping the future of monetization across Amazons ad-supported publishers Prime Video Twitch Fire TV Amazon Stores and Audio. Our mission: build Earths most customer-centric advertising services.

Were looking for a Data Engineer to own and evolve the data foundations across APMs publisher portfolio. Youll drive architectural decisions that ensure every insight delivered to business teams is grounded in reliable well-modeled data. The pipelines models and quality frameworks you build will enable trusted decision-making at scale balancing customer experience with advertiser value.

Key job responsibilities
Design develop and optimize data models and end-to-end data pipelines across APMs publisher data leveraging AWS services (such as Redshift EMR Airflow Kinesis Lambda) and internal Amazon tools

Drive architectural decisions for data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics agents balancing short-term delivery with long-term scalability

Define and implement data quality standards across the datasets you own by building automated monitoring investigating anomalies and driving root-cause resolution with minimal guidance

Partner with business stakeholders to deeply understand their decision-making needs translating ambiguous requirements into trusted well-modeled data products

Lead the design of next-generation APM data architecture to improve scale quality timeliness coverage monitoring and security while influencing team-wide technical direction

Support and mentor other engineers on data engineering best practices code quality and system design principles

A day in the life
As a Data Engineer on our team youll focus on architecting and maintaining the data pipelines and models that support our publisher monetization platform. You might spend your morning collaborating with analytics and business intelligence teams to understand evolving data requirements then transition into designing schema improvements or optimizing query performance for our data warehouse. Youll work alongside software engineers to integrate new data sources partner with product teams to validate data quality and participate in design reviews where youll help shape how we approach complex data challenges. Your work directly impacts the reliability of insights that business teams depend on to make strategic decisions about advertising inventory and publisher partnerships.

About the team
We are the APM Agentic Insights team building scalable intelligence that delivers fast accurate and actionable insights across Amazon Publisher Monetization. Our mission is to create Earths most customer-centric advertising services by ensuring that every insight delivered to business teams is grounded in reliable well-modeled data. We work across organizational boundaries with data engineers business intelligence engineers scientists and product teams to solve complex problems at scale. Youll join a group that values both technical excellence and collaborative problem-solving where your contributions will directly shape how we serve our customers and partners.

- Bachelors degree
- 4 years of data engineering experience
- 2 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 2 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
- Experience with data modeling warehousing and building ETL pipelines
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience working on and delivering end to end projects independently
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Knowledge of distributed systems as it pertains to data storage and computing

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 for more information. If the country/region youre applying in isnt 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 WA SEATTLE - 132100.00 - 178800.00 USD annually