Data Engineer, Amazon

Amazon's ARCADE team is seeking a talented Data Engineer to join their Analytics team supporting MCF and BwP business. This role offers an exciting opportunity to work with cutting-edge AWS big data technologies while solving complex business challenges. As a Data Engineer, you'll be responsible for designing and implementing scalable data infrastructure solutions, working with various data sources, and creating efficient data pipelines.

The position involves working with advanced AWS technologies including Redshift, QuickSight, Glue/Lake Formation, EMR/Spark, and Athena. You'll be instrumental in developing ETL processes, creating unified data models, and supporting real-time data pipelines. The role requires collaboration with multiple teams, including Engineering, Product, and Finance, to implement advanced analytics algorithms and support machine learning model development.

This is an excellent opportunity for someone who wants to work at scale with big data technologies while making a significant impact on business operations. The role offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus additional benefits including equity and sign-on bonuses. You'll be working in Seattle, WA, with some of the brightest minds in the industry while helping to shape the future of data infrastructure at Amazon.

The ideal candidate will have experience with data engineering, strong programming skills in Python and SQL, and familiarity with big data technologies. You'll have the opportunity to mentor others, influence team culture, and grow professionally while working on challenging problems that impact millions of users.