Amazon Robotics is seeking a talented Data Engineer to join their Science Tooling And Research (STAR) team. This role combines data engineering expertise with robotics innovation, focusing on building and maintaining data pipelines that support critical simulation experiments and system analyses. The position offers an opportunity to work with cutting-edge robotics technology while implementing scalable data solutions that directly impact Amazon's automated systems.
As a Data Engineer, you'll be responsible for designing and developing data platforms that enable scientists, analysts, and engineers to derive valuable insights from large-scale data. Your work will support machine learning model training, metrics evaluation, and system performance analysis. The role requires expertise in data warehousing, ETL processes, and big data technologies, with a focus on building reliable, efficient, and cost-effective solutions.
The STAR team plays a crucial role in understanding the performance characteristics of Amazon's robotic systems, including operational scaling, software capabilities, and system robustness. You'll be working in a collaborative environment where innovation is encouraged, and your contributions will directly influence key engineering and business decisions about Amazon's robotics approach.
Amazon offers a comprehensive benefits package including medical, dental, and vision coverage, parental leave options, 401(k) plans, and PTO. The company values diversity and welcomes candidates with unique backgrounds and perspectives. This position represents an excellent opportunity to work at the intersection of data engineering and robotics while making a significant impact on Amazon's automated fulfillment systems.
The ideal candidate will bring strong technical skills in data engineering, experience with distributed systems, and the ability to work independently while collaborating effectively across teams. You'll be joining a dynamic organization that's at the forefront of robotics innovation, where your work will help shape the future of automated systems at Amazon.