The People eXperience and Technology (PXT) Central Science Team at Amazon is seeking an experienced Data Engineer to join their interdisciplinary team. This role combines economics, behavioral science, statistics, and machine learning to improve Amazon's processes and employee experience. The team focuses on developing scientific models and software solutions that enhance HR functions including workforce planning, recruiting, employee engagement, retention, and compensation.
The ideal candidate will work closely with senior scientists and business leaders to build end-to-end data engineering solutions. You'll be responsible for creating robust data pipelines, implementing AWS toolsets, and developing data taxonomies that support statistical and ML models. The role requires expertise in data modeling, ETL processes, and SQL, with preferred experience in AWS technologies.
This position offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus additional benefits. The role is available in multiple locations including Seattle, Bellevue, Austin, and Sunnyvale, offering the opportunity to work with one of the world's leading technology companies while making a significant impact on employee experience and HR operations.
The successful candidate will have the opportunity to lead critical data infrastructure projects, implement data governance practices, and work with cutting-edge technology in a high-impact domain. This role combines technical expertise with business acumen, requiring someone who can translate complex data requirements into practical solutions while maintaining high standards for data privacy and security.