Posted at: 7 July

Mid-Level Full-Stack Software Engineer (Data & Migrations)

Company

Redhorse Corporation is a Virginia-based B2B professional services firm specializing in management and technology consulting, engineering, and IT solutions for U.S. government agencies and Fortune 500 companies.

Remote Hiring Policy:

Redhorse Corporation offers remote, hybrid, and on-site work arrangements, with hiring limited to candidates based in the United States. Team members are supported in various U.S. locations, and remote roles are available depending on the position.

Job Type

Full-time

Allowed Applicant Locations

United States

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Job Description

About the Organization

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role

Redhorse transforms the way government uses data and technology. We are seeking "Everything Engineers" with a Data Focus to lead the modernization of a mission-critical legacy system managing billions of dollars in international security cooperation.

This role is for the "Agent-native" engineer. On this team, AI-led development isn't a novelty—it’s how we build. You will work through agentic toolkits (Claude Code, Codex, etc.) every day to replace a decades-old Oracle-based platform with a modern, high-integrity PostgreSQL ecosystem. You will own the ground the modernization stands on, ensuring that years of complex production data are migrated with financial-grade proof while building across the full stack (UI, API, and Infrastructure).

Key Responsibilities

Decompose complex data and business problems into specifications precise enough for AI agents to implement directly and concretely.
Design and maintain a repeatable migration pipeline that consolidates legacy mirrored Oracle schemas into a modern, single-schema PostgreSQL environment.
Implement rigorous automated reconciliation machinery (checksums, financial control totals, and row counts) to provide government acceptance evidence.
Conduct "legacy archaeology" by interrogating hundreds of thousands of lines of PL/SQL packages and triggers to extract and document load-bearing business rules.
Develop transactional schemas using Prisma and design Change Data Capture (CDC) workflows into dedicated analytics stores.
Build complete vertical slices of capability, including React-based admin UIs for data quality reports and Node.js API endpoints.
Set the technical bar for data integrity, utilizing golden-master behavioral checks to prove migrated cases still price and process identically to legacy systems.
Maintain a rigorous human-review process for all agent-generated code to ensure compliance with federal financial standards.

Required Experience/Clearance

Must be a U.S. Citizen and eligible for a U.S. SECRET clearance.
3+ years of experience building and operating production data systems.
Hands-on experience with agentic AI development tools (Claude Code, Codex, or equivalent) on real-world codebases.
Strong track record with relational data systems, including schema design, migration, and performance tuning.
Ability to read and reason about PL/SQL and legacy database logic.
Professional fluency in the modern web stack: TypeScript, Node.js, and React.
Demonstrated experience with cloud infrastructure (AWS) and CI/CD fundamentals.

Desired Experience

We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:

Experience with heterogeneous migrations, specifically moving from Oracle to PostgreSQL.
Familiarity with data modeling for analytics and replacing legacy reporting estates like Cognos.
Background in financial data systems or environments subject to strict federal audit standards.
Experience with AWS GovCloud, CDK, and containerized deployments (EKS/ECS).
Experience with data-quality tooling and synthetic data generation.
Prior work in a regulated government environment (FedRAMP, RMF, or IL-specific programs).

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected]

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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