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# W2: Developer Specialist/Database Modernization Engineer McLean, VA(Onsite)

- **Company:** Stellent IT LLC
- **Location:** McLean, VA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Legacy Database, Java (Programming Language), SAP Sybase Adaptive Server Enterprise, Artificial Intelligence, Amazon Web Services, Databases, Data Architecture, Information Engineering, Python (Programming Language), PostgreSQL, Operational Data Store, Data Streaming, Scripting, Snowflake, Database Migration, Apache Kafka, Front End Software Development, Code Restructuring, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.careerjet.com/jobad/usdec78266f5ab075d291f9ff9320cb5c8

## About the Role

* 1-3 years of AI experience.
 * 8 years of development experience.
 * Deep database transformation and data engineering experience.
 * Strong underlying database/data engineering capabilities (ability to learn Amazon Kiro on the job is acceptable if these core skills are strong).

Preferred:

 * Prior hands-on experience with AI-assisted development or agentic tools.
 * Experience with Java/Python (used primarily for scripting, data pipelines, or basic glue logic).
 * Experience with Kafka (beneficial for understanding real-time streaming contexts).

## Description

Primary Objective: Modernize a legacy Operational Data Store (ODS) by converting legacy database schemas, refactoring data pipelines, and implementing AI-driven automation to build solutions from scratch.
This is primarily a Database Modernization / Data Engineering position rather than a traditional Full-Stack role.
The target environment involves transitioning from a legacy Sybase database to a modern cloud/relational architecture (PostgreSQL or Snowflake) using AI tools like Amazon Kiro.
Key Responsibilities & Outcomes

 * Convert legacy database schemas and refactor data pipelines.
 * Implement AI-driven automation to build components from scratch.
 * Utilize Amazon Kiro (AWS's agentic AI IDE/environment) to automate code refactoring, spec generation, and schema conversions.
 * Focus entirely on back-end data architecture and database migration (minimal to no frontend work).