Description

As a Senior Data Engineer on the PXT Central Science team at Amazon, you will be part of the Data team that builds the foundational data infrastructure and analytics tools powering 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 drive our people analytics capabilities. You will collaborate with data scientists, software engineering teams, business intelligence engineers, and HR business partners to transform complex HR data into actionable insights that shape Amazon's people strategy. Your technical expertise will help enable data-driven decisions that enhance the employee experience across Amazon's global workforce.

Key job responsibilities
PXTCS is looking for a Senior Data Engineer with deep expertise in complex data environments. You will own and drive the evolution of our data architecture to standardize metrics and definitions, architect and deliver end-to-end data engineering solutions for complex analytical problems, productionize science models for downstream consumption, and lead cross-functional collaboration with economists, data scientists, and software engineers to translate data into actionable insights. Specific responsibilities include:
• Design, develop, and maintain efficient ETL processes and data pipelines to collect, process, and integrate data from multiple HR systems and sources using native AWS services (Glue, EMR, Lambda)
• 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 across pipelines and production endpoints
• Partner with data scientists and software engineering teams to productionize machine learning models that solve complex workforce challenges, including owning API architecture and data serving layers for downstream consumption
• 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
• Define and drive data architecture decisions to enhance performance, scalability, and security across multiple interconnected AWS accounts
• Own and lead technical design reviews, setting technical direction and influencing org-wide data strategy and modeling approaches
• Define and maintain SLAs for data pipelines and production systems, driving operational excellence across the team's data infrastructure
• Implement security best practices for cross-account data access and design solutions that scale across multiple regions and business units



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.