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# Data Engineer I, AFT BI Content

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Databases, Data Auditing, Data Definition Language, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Query Languages, Apache Hive, Python (Programming Language), Korn Shell, MultiDimensional EXpressions, Scala (Programming Language), PL-SQL, SQL Databases, Technical Data Management Systems, Scripting, Apache Spark, Backend, Data Lakes, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-i-aft-bi-content-bellevue-wa-usa-58834619

## About the Role

data auditing, and documentation * Leverage AWS services and generative AI to create advanced data solutions Tasks * 2+ years of data engineering experience * Experience with data modeling, warehousing and ETL pipelines * Experience with one or more query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) * Experience with database, data warehouse or data lake solutions * Experience with one or more scripting languages (Python, KornShell) Key requirements * health insurance (medical, dental, vision) * RSUs and sign-on payments * 401(k) matching * paid time off * parental leave * EAP and mental health support

## Description

Experteer Overview In this role you will help build and optimize Amazon's massive data warehouse ecosystem to accelerate delivery decisions. You'll work within the AFT Data Engineering team to design scalable data pipelines, model data for enterprise analytics, and migrate workloads to a cloud-first architecture. You will collaborate with product owners and stakeholders to turn business questions into data products that drive efficiency and cost savings. This is a hands-on role that combines data engineering, data modeling, and modern AWS-based tooling to enable self-service analytics at scale. Compensation / Benefits * Build and maintain backend data infrastructure for analytical and visualization platforms * Translate business problems into technical data requirements with product management * Automate and optimize reporting to enable self-service analytics at scale * Develop measurement frameworks and metrics for performance and health * Ensure data quality via monitoring, validation, auditing, and documentation * Leverage AWS services and generative AI to create advanced data solutions Tasks * 2+ years of data engineering experience * Experience with data modeling, warehousing and ETL pipelines * Experience with one or more query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) * Experience with database, data warehouse or data lake solutions * Experience with one or more scripting languages (Python, KornShell) Key requirements * health insurance (medical, dental, vision) * RSUs and sign-on payments * 401(k) matching * paid time off * parental leave * EAP and mental health support


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