Join Amazon Robotics as a Data Engineer on the Robotic Storage Analytics team, where you'll lead the transformation of our data platform. This role combines cutting-edge robotics with advanced data engineering, offering a unique opportunity to impact Amazon's warehouse automation technology. You'll architect and implement scalable data solutions using AWS technologies, working with massive datasets from robotic systems across Amazon's fulfillment network.
As the data engineering lead, you'll design and maintain critical data pipelines, create robust metrics, and partner with data scientists and engineers to enhance reporting processes. You'll work with advanced AWS technologies including Redshift, Athena, S3, AWS Glue, EMR, and Lambda, while implementing data governance and quality controls.
The role offers significant growth potential within Amazon's innovative robotics division. You'll collaborate with diverse teams, from software and hardware engineers to product managers, translating complex requirements into effective data solutions. The position combines technical expertise with business impact, as your work directly influences the efficiency of Amazon's robotic storage systems.
Benefits include comprehensive healthcare, 401(k), parental leave, and PTO. You'll be part of Amazon Robotics' dynamic team in Massachusetts, working on technology that's revolutionizing warehouse automation. This role is perfect for a data professional who wants to work at the intersection of robotics, big data, and cloud computing, making a tangible impact on one of the world's largest logistics operations.
The ideal candidate brings 3+ years of data engineering experience, strong AWS knowledge, and expertise in programming languages like Python or Java. You should be comfortable with independent project ownership and possess excellent communication skills. If you're passionate about data engineering and want to shape the future of warehouse robotics, this role offers an exceptional opportunity to work with cutting-edge technology at global scale.