Data Engineer (AI)

Location: Hybrid in Washington, Washington, DC; applicants must reside in the United States at the time of application.

Estimated compensation: USD $109,866–$146,488 per year.

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Design and build end-to-end pipelines for structured and unstructured data using modern ETL/ELT practices.
• Develop and operate data processing workflows focused on quality, consistency, performance, and repeatability.
• Use AWS services including S3, Lambda, Glue, and Redshift for scalable and secure data processing and storage.
• Create schemas, transformation logic, data dictionaries, lineage/dataflows, runbooks, and other data assets.
• Monitor and support production data systems, including database indexing, access controls, optimization, performance tuning, fault tolerance, and redundancy.
• Build APIs and integrate cloud messaging and push-notification mechanisms while collaborating in an Agile environment.

Requirements

• Active TS/SCI clearance must be possessed and maintained.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
• 4–8 years of experience in data engineering, ETL development, and/or database administration.
• Strong hands-on experience with AWS and cloud-based data integration.
• Experience designing ETL/ELT architecture and building reliable data pipelines at scale.
• Foundation in database design and performance, including schema design, indexing, and optimization.
• Experience with API development and integration.
• Ability to transform raw data into analytics- and reporting-ready formats with clear quality standards.
• Agile teamwork, collaborative engineering experience, troubleshooting ability, attention to detail, and comfort supporting production data systems.

Nice to have

• Experience with cloud messaging APIs and push-notification systems.
• Deeper database administration and performance-tuning experience.
• Curiosity and initiative in adopting tools and approaches to solve complex problems.
• Experience supporting operations or production support for data platforms.
• Familiarity with national security or other mission-driven data environments.

Culture & Benefits

• Work in a collaborative Data Architecture & Engineering team supporting mission-critical outcomes.
• Contribute in an Agile environment with iterative delivery and evolving mission needs.
• Support AI-powered solutions for national security, supply chain management, and digital identity.
• Equal opportunity employment includes protected veterans and individuals with disabilities.