Data Engineer

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. To support this mission, we are seeking a Data Engineer to play a critical role in the FBI's "Pinnacle" modernization effort. This high-impact initiative involves the large-scale migration of over 10TB of legacy data from Oracle and SCOP systems into modern cloud environments, including AWS S3 and Amazon EKS. In this role, you will be the bridge between legacy information and future-ready intelligence, developing advanced visual analytic applications and ensuring that bulk relational data is accessible, secure, and ready for analysis.

Key Responsibilities

• Lead the migration of legacy datasets exceeding 10TB from Oracle and SCOP environments into AWS S3 and Amazon EKS.
• Design and deliver advanced visual analytic applications that enable stakeholders to perform complex bulk analysis of relational information.
• Develop data analytics for both desktop and web-based visual analytic software to support diverse user needs.
• Manage and optimize relational data within SQL Server and Oracle database management systems.
• Rotate periodically into the Help Desk (Tiers 1-3) to provide high-level technical troubleshooting and data support for end-users.
• Facilitate the modernization of data architecture to improve the speed and accuracy of mission-critical information delivery.

Required Experience/Clearance

• Active U.S. Government Top Secret security clearance with SCI eligibility.
• 5+ years of professional experience in data engineering or a related field.
• Proven experience migrating large-scale datasets (Terabyte-scale) across different enclaves, platforms, or cloud environments.
• Demonstrated experience developing data analytics for visual analytic software (desktop and web-based).
• High proficiency in database management using SQL Server and Oracle.
• Experience working with cloud-native storage and orchestration tools, specifically AWS S3 and Amazon EKS.

Desired Experience

• Experience with high-performance computing (HPC) environments and large-scale data processing.
• Familiarity with open-source visualization tools and libraries.
• Knowledge of FBI, National Archives, and Records Administration (NARA) data guidelines and compliance standards.
• Experience in a tiered support environment providing technical troubleshooting for data-heavy applications.
• Advanced certifications in AWS or database administration.

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.

Accommodations:

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. 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.