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

About the role

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

Responsibilities

• Design, develop, 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
• 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

Qualifications

• Bachelor's 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
• 2+ 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

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.