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W Developer Specialist Database Modernization Engineer

  • W Developer Specialist Database Modernization Engineer job type Posted on: Oct 22, 2026
  • W Developer Specialist Database Modernization Engineer experience level Stellent IT LLC
  • W Developer Specialist Database Modernization Engineer employment type McLean, Virginia
  • W Developer Specialist Database Modernization Engineer employment type Onsite
  • W Developer Specialist Database Modernization Engineer salary Full-time

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Job Title :

W Developer Specialist Database Modernization Engineer

Job Type :

Full-Time

Job Location :

McLean Virginia United States

Remote :

No

Jobcon Logo Job Description :

W2: Developer Specialist/Database Modernization Engineer

McLean, VA(Onsite)

Video Interview

Long Term Contract

JD::

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).

Qualifications & Requirements

Required:

  • 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).

Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

52237-6911

Employment:

Full-time

City:

McLean

Job Origin:

CIEPAL_ORGANIC_FEED

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W2: Developer Specialist/Database Modernization Engineer

McLean, VA(Onsite)

Video Interview

Long Term Contract

JD::

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).

Qualifications & Requirements

Required:

  • 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).

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