Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR EKS
Amazon · East Palo Alto, CA · Software Development
About this role
Amazon is hiring a mid-level Data Engineer based in East Palo Alto, CA. The posting calls out experience with AWS, Spark, Distributed Systems, Security. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $165,200–$223,600 per year.
- Role
- Data Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- East Palo Alto, CA
- Education
- Bachelor's degree
- Department
- Software Development
- Posted
- May 14, 2026
More roles at Amazon
Job description
from Amazon careersWant to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) team! EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets. We are developing innovative new features including the next-generation cluster management system, real-time processing for big data and intuitive ways of interacting with data, and we’re looking for top engineers to build them from the ground up. This is a hands-on position where you will be do everything from designing and building extremely stable components and features for the savviest customers in the business to help them get the best results. You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Hadoop, Spark, Pig and Hbase. You need to not only be a top software developer with excellent programming skills, an understanding of big data and parallelization, and a stellar record of delivery…