Amazon.com Services LLC
Technology
DataEngineerI,AmazonPublisherMonetization,Analytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer I, Amazon Publisher Monetization, Analytics at Amazon.com Services LLC. Skills: Data Engineering, SQL, Python, Cloud Platforms. Design, build, and maintain scalable data pipelines. Develop and optimize data models”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Bachelor's degree, 5+ years of experience in data engineering or related field, Proficiency in SQL, Experience with at least one programming language (e.g., Python, Java, Scala)
Nice to Have
Master's degree or PhD, Experience with cloud platforms (AWS, Azure, GCP), Experience with distributed data processing systems (e.g., Spark, Hadoop), Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake), Experience with ETL/ELT tools and workflows, Experience with containerization technologies (e.g., Docker, Kubernetes), Experience with CI/CD practices, Experience with machine learning frameworks
What You'll Do.
and maintain scalable data pipelines
Develop and optimize data models
Implement ETL/ELT processes
Ensure data quality and integrity
Collaborate with data scientists and analysts
Monitor and troubleshoot data systems
Automate data processes
Contribute to data architecture decisions
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Analysts; Software engineers
Process & Methodology
Agile methodologies
Full Job 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 pi
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