Data Engineer, Customer Engagement Technology

Amazon is seeking a Data Engineer to join their Customer Engagement Technology team, focusing on revolutionizing customer service through Machine Learning (ML), Natural Language Processing (NLP), and advanced analytics. This role sits at the intersection of big data and customer experience innovation, working with a team of engineers and scientists to build the future of customer service technology.

The position offers an exciting opportunity to work on large-scale data systems that directly impact millions of customers' experiences. You'll be responsible for designing and implementing data structures and pipelines that power analytics and data science initiatives, working with cutting-edge AWS technologies and big data tools. The role combines technical expertise in data engineering with business acumen to deliver scalable solutions.

As a Data Engineer at Amazon, you'll collaborate with multiple teams, including scientists and engineers, to create efficient algorithms and improve data systems. The position requires strong SQL and Python skills, with experience in ETL/ELT processes and data modeling. You'll work in Amazon's Seattle office, contributing to a team that develops LLM-based Conversational AI systems.

The compensation package is competitive, ranging from $118,900 to $205,600 based on location and experience, plus comprehensive benefits including medical, dental, vision coverage, 401(k), and parental leave. This is an excellent opportunity for someone with 3+ years of experience who wants to make a significant impact on customer service technology at a global scale.

Amazon values diversity and inclusion, welcoming candidates from all backgrounds. The role offers growth opportunities within one of the world's leading tech companies, working on innovative solutions that combine data engineering with customer service enhancement. You'll be part of a team that's pushing the boundaries of what's possible in customer service through technology.

The position is ideal for someone who enjoys solving complex data challenges, has a passion for customer experience, and wants to work with cutting-edge technologies in a fast-paced environment. You'll have the opportunity to shape the future of customer service while working with some of the most advanced data systems and AI technologies in the industry.