Data Engineer, Devices Sales & Marketing
Amazon • Bellevue, Washington, United States
No Relocation
Posted: August 12, 2026
Additional Content
Description
- Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds,
Description
- Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you. As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be an expert in the architecture of DW solutions for the Enterprise using multiple technologies (RDBMS, Columnar, Cloud). You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Basic Qualifications
- - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam