Data Engineer, Devices Economic Value

Amazon's Devices Economic Value team is seeking a skilled Data Engineer to join their mission of enabling measurement and optimization of Amazon Devices' long-term value. This role is crucial in helping Amazon build better products for their customers by being at the core of understanding how Amazon Devices drive deeper customer engagement.

The position focuses on building the future of long-term Marketing Measurement for Devices and Services, specifically working on complex data solutions for Amazon Devices' Marketing Mix Models. As a Data Engineer, you'll be responsible for designing and maintaining scalable data infrastructure while ensuring high data quality standards.

The role combines technical expertise with business impact, requiring strong skills in data engineering, ETL processes, and SQL. You'll work with AWS technologies and be part of a team that leverages advanced analytics, causal inference, and machine learning to solve challenging business problems.

The DEV Science team's environment is perfect for curious engineers who want to innovate fast and deliver impact at scale. You'll be working with cutting-edge AWS tools and collaborating with team members to constantly improve systems and processes.

The compensation is competitive, ranging from $118,900 to $205,600 per year based on geographic location, plus additional benefits including medical insurance and 401k. The position offers the opportunity to work from either Seattle, WA or Arlington, VA.

This role is ideal for someone with 3+ years of data engineering experience who is passionate about building scalable data solutions and wants to make a direct impact on Amazon's device ecosystem. You'll be part of a team that balances short-term and long-term tradeoffs across product lifecycle while driving clear value for Amazon shoppers.