As a Senior Data Engineer on the PXT (People Experience and Technology) Central Science team at Amazon, you will be part of the Data team that builds the foundational data infrastructure and analytics tools for PXTCS. We create secure, scalable solutions that enable teams across PXTCS to access and analyze data effectively while maintaining data integrity. In this role, you will design, build, and maintain scalable data pipelines and infrastructure that power our people analytics capabilities. You will collaborate with data scientists, business intelligence engineers, and HR business partners to transform complex HR data into actionable insights that drive Amazon's people strategy. Your technical expertise will help us make data-driven decisions that enhance the employee experience across Amazon's global workforce

Key job responsibilities
- Design, develop, and maintain efficient ETL processes and data pipelines to collect, process, and integrate data from multiple HR systems and sources
- Build and optimize data models that support advanced analytics, reporting, and machine learning applications
- Implement data quality controls and monitoring systems to ensure accuracy and reliability of people data
- Partner with data scientists to productionize machine learning models that solve complex workforce challenges
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Mentor junior engineers and contribute to establishing best practices for data engineering
- Continuously improve data architecture to enhance performance, scalability, and security

About the team
The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.