Amazon's Workplace Health and Safety (WHS) team is seeking a Data Engineer to join their mission of creating a safer work environment for employees. This role is crucial in supporting the Environmental and Assurance Protection (EAP) team by designing and implementing scalable data solutions using advanced AWS technologies.
The position involves architecting enterprise-scale data infrastructure, building complex ETL pipelines, and working with diverse data sources to enable robust business intelligence capabilities. You'll collaborate with cross-functional teams to translate business requirements into technical solutions while maintaining high standards of data governance.
As a Data Engineer, you'll be responsible for streamlining reporting workflows, implementing automated solutions, and continuously enhancing the data infrastructure to meet evolving business needs. The role requires expertise in SQL, programming languages like Python or Java, and experience with distributed systems.
The position offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, along with comprehensive benefits including medical, dental, vision coverage, 401(k), and parental leave options. This is an excellent opportunity to make a significant impact on workplace safety while working with cutting-edge technologies at one of the world's leading technology companies.
The ideal candidate will have 3+ years of data engineering experience, strong technical skills, and a passion for building scalable solutions. You'll be joining a team dedicated to Amazon's leadership principle of "Strive to be Earth's Best Employer" and contributing to creating a safer, more productive, and more just work environment for all Amazon employees.