Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon • Seattle, WA

1d • Onsite

About The Position

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 at scale. We'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. A day in the life: 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. About the team: The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).

Requirements

• Bachelor'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, KornShell)

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Responsibilities

• Design, 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

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level