Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Data Engineer role focused on building and optimizing data models and end-to-end data pipelines using AWS services for Amazon Publisher Monetization. The role involves implementing data solutions for human analysts and AI-powered tools, ensuring data quality, and collaborating with stakeholders to deliver data products. It also mentions leveraging LLMs and generative AI for development workflows and contributing to automated data infrastructure.

What you'd actually do

  1. 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
  2. Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools
  3. Measure and improve data quality across the datasets you own — investigating anomalies, troubleshooting pipeline issues, and ensuring reliability
  4. Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products
  5. Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security

Skills

Required

  • 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 have

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