AWS Hardware Engineering is seeking an experienced Data Engineer to join their Data Science and Analytics team within the AWS Infrastructure Services (AIS) organization. This role offers an opportunity to work with massive datasets and build data products that transform hardware monitoring data into actionable insights. You'll be responsible for designing and implementing large-scale data structures, creating efficient ETL/ELT processes, and collaborating with scientists on advanced analytics and machine learning initiatives.
The position sits within the critical AIS organization, which manages all AWS global infrastructure, including data centers, servers, storage, and networking equipment. You'll join a diverse team of engineers and specialists working on complex supply chain challenges, while helping maintain AWS's high standards for safety and security.
The ideal candidate brings 3+ years of experience in data engineering, with expertise in SQL, Python, and data warehouse architecture. You'll work with AWS technologies and big data tools to build scalable, secure, and cost-effective solutions. The role offers competitive compensation ($118,900-$205,600 based on location), comprehensive benefits, and the opportunity to work with cutting-edge cloud technology.
AWS values diversity, work-life harmony, and continuous learning. You'll have access to employee-led affinity groups, ongoing learning experiences, and career development resources. The company is committed to becoming Earth's Best Employer and maintains an inclusive culture that welcomes bold ideas and empowers ownership.
This is an excellent opportunity for a data professional who wants to impact cloud infrastructure at a global scale while working with some of the most advanced data technologies available.