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# Data engineer, Decision Intelligence Technology

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Salary:** $101,300.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Cluster Analysis, Data Architecture, Data Definition Language, Information Engineering, Data Files, Extract Transform Load (ETL), Query Languages, IBM InfoSphere DataStage, Apache Hadoop, Apache Hive, Python (Programming Language), Korn Shell, Machine Learning, MultiDimensional EXpressions, Scala (Programming Language), PL-SQL, SQL Databases, SQL Server Integration Services, Scripting, System Availability, Apache Spark, Electronic Medical Records
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ea03717ffd000372

## About the Role

* 1+ years of data engineering experience
 * Experience with data modeling, warehousing and building ETL pipelines
 * Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
 * Experience with one or more scripting language (e.g., Python, KornShell)

PREFERRED QUALIFICATIONS

 * Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
 * Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

## Description

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo's products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.

We are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization.
You will:

 * Develop and improve the current data architecture, data quality, monitoring and data availability.
 * Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning
 * Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business.
 * Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
 * Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.