Data Engineer , Publisher Monetization, Analytics
Listed on 2026-07-16
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Description
The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon's advertising-supported publishers (e.g., Prime Video, Twitch, Fire TV, Amazon Stores, Audio). Our mission is to build Earth's most customer-centric advertising services.
Driving long-term growth for our ad-supported media services requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). The data foundations that power these decisions — pipelines, models, quality frameworks — are what make trusted insights possible 're looking for a Data Engineer to build and operate these foundations across APM's publisher portfolio, ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data.
ResponsibilitiesDesign, build, and optimize data models and end-to-end data pipelines across APM's publisher data leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools
Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools
Measure and improve data quality across the datasets you own — investigating anomalies, troubleshooting pipeline issues, and ensuring reliability
Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products
Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security
Work alongside other data engineers, business intelligence engineers, and scientists to support business decisions across APM
You ll build data products that feed both human analysts and AI-powered analytics agents, leverage LLMs and generative AI tools to accelerate your own development workflows, and help move the team from manual pipeline operations toward automated, self-healing data infrastructure. You ll work across two tracks: building scalable data infrastructure, and partnering with business teams to understand what decisions they need to make and delivering the data products that enable them.
You may lean toward one track more than the other, and that s great — we re looking for someone with strong fundamentals who can contribute meaningfully in either direction.
The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).
Basic QualificationsBachelor s degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
2+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, Korn Shell)
- Experience with big data technologies such as:
Hadoop, Hive, Spark, EMR
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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).