Everything Engineer: AI‑Led Data Modernization

Redhorse Corporation

United States

Remote

USD 175,000 - 250,000

Full time

14 days+

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Job summary

Redhorse Corporation is seeking an Everything Engineer with a Data Focus to lead modernization of a mission-critical legacy system used in international security cooperation. You will work across UI, API, database, and infrastructure, with a strong emphasis on agentic AI, CI/CD, and secure data handling.

You will own the migration pipeline and ensure rigorous validation, reconciliation, and governance. The role requires deep web-stack breadth and hands-on PL/SQL analysis in a demanding federal

Qualifications

  • US citizenship and eligibility for a US SECRET clearance.
  • 7+ years with production data systems.
  • Mentors the mid deliberately.
  • Strong track record with production relational data systems (schema design, migration, performance) plus real web-stack breadth.
  • Ability to read and reason about PL/SQL.
  • Hands-on experience with agentic AI development tools.
  • Travel no more than once per quarter.

Responsibilities

  • The migration pipeline as a product: repeatable extract, transform, load, and validate machinery.
  • Proof and reconciliation reports with country and case-level checks.
  • Legacy archaeology: reading PL/SQL to surface business rules for engineers.
  • The modern data platform: PostgreSQL schema design, CDC, analytics store, and outbound feeds.

Skills

Relational data systems
Web stack breadth
Agentic AI development tools

Tools

Codex/Claude Code
PostgreSQL

Job description

Redhorse Corporation is seeking an Everything Engineer with a Data Focus to lead modernization of a mission-critical legacy system used in international security cooperation. You will work across UI, API, database, and infrastructure, with a strong emphasis on agentic AI, CI/CD, and secure data handling.

You will own the migration pipeline and ensure rigorous validation, reconciliation, and governance. The role requires deep web-stack breadth and hands-on PL/SQL analysis in a demanding federal

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