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# AI Data Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Salary:** $114,400.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Amazon Web Services, Databases, Data Validation, Data Definition Language, Data Manipulation Languages, Data Systems, Database Testing, Github, PostgreSQL, MongoDB, MySQL, Oracle (Applications), Oracle SQL Developer, Shell Script, SQL Stored Procedures, PL-SQL, SQL Databases, System Availability, Database Performance, Information Technology, Multiplatform, Software Version Control, Data Pipelines
- **Published:** July 9, 2026
- **Apply:** https://www.careerjet.com/jobad/usbfc0e2a9c54b0d583203fbefc0a9b347

## About the Role

* Advanced experience with Oracle PL/SQL
 * Advanced SQL development and optimization
 * Advanced GitHub version control
 * Advanced Database Administration
 * Intermediate experience with AI & Data Testing
 * Experience with AWS
 * Hands-on experience with Oracle, PostgreSQL, MySQL, and MongoDB (Atlas)
 * Experience with logical DBA tasks including schema design, DDL, DML, stored procedures, and shell scripting
 * AI/ML experience is highly preferred and should be reflected on the resume, * Bachelor's degree in Computer Science, Information Technology, or a related field.
 * Strong experience with Oracle PL/SQL, SQL, and database administration.
 * Hands-on experience with AWS and enterprise database platforms.
 * Knowledge of schema design, DDL/DML, stored procedures, and shell scripting.
 * AI-related experience is strongly preferred.

## Description

We are seeking an experienced AI Data Engineer to support AI-driven data initiatives by designing, developing, and managing scalable data architectures and database environments. The ideal candidate will have strong database engineering expertise, hands-on experience with AWS and multiple database platforms, and exposure to AI technologies., * Design, build, and maintain scalable data pipelines and architectures for AI applications.

 * Administer and optimize AWS-based multi-platform database environments.
 * Develop and optimize SQL and PL/SQL code, stored procedures, and database objects.
 * Collaborate with AI architects, developers, and business stakeholders to deliver reliable data solutions.
 * Ensure database performance, scalability, security, and high availability.
 * Support AI data validation, testing, and deployment activities.
 * Utilize GitHub for source code management and version control.


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