Amazon

Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon Seattle, Washington, United States · $101K–$160K/yr

Software Development · 10,001+ employees

20 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Design, build, and optimize scalable data models and end-to-end pipelines to support Amazon Publisher Monetization insights. Collaborate with business stakeholders and engineers to deliver reliable data products that power both human analysts and AI-driven analytics.

What they look for

Data engineering Data modeling Data warehousing ETL pipelines SQL Python AWS Redshift EMR Airflow Kinesis Lambda Spark Hadoop Hive Generative AI

Requirements

Requires a bachelor's degree in a related field and at least 2 years of professional data engineering experience. Must possess strong proficiency in SQL, scripting languages like Python, and experience with data modeling and ETL pipeline development.

Benefits

Health insurance Dental insurance Vision insurance Prescription insurance Basic life and AD&D insurance Supplemental life plans Employee assistance program Mental health support Medical advice line Flexible spending accounts Adoption and surrogacy reimbursement 401(k) matching Paid time off Parental leave Restricted stock units

Full 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 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.

Key job 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

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).

Basic Qualifications: - 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)

Preferred Qualifications: - 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 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 - 101,300.00 - 160,000.00 USD annually

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