Graph Data Engineer

🕒 July 9

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Redhorse Corporation

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

Artificial Intelligence • Cybersecurity • Government

Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.

📋 Description

• Design, build, and maintain robust data ingestion and transformation pipelines that supply the knowledge graph analytics platform. • Profile source data and assess structure, quality, completeness, and integration challenges. • Implement complex transformation, normalization, and preparation logic required to load data into graph solutions. • Support source-to-graph traceability and data lineage to ensure analytic transparency and rapid debugging. • Collaborate with the Lead Data Scientist and engineering peers to align source data processing with graph modeling and entity resolution requirements. • Continuously improve data quality handling and pipeline reliability to ensure high-availability of intelligence insights. • Document ingestion patterns, transformation rules, and technical considerations to support enterprise scaling. • Utilize Jira and GitLab to manage tasks and maintain version control across the development lifecycle.

🎯 Requirements

• 5+ years of relevant professional experience in data engineering or related technical roles. • Demonstrated experience in ETL/ELT development and large-scale data integration. • Proven ability to handle both structured and semi-structured data from multiple disparate source systems. • Experience designing transformation logic that supports downstream analytics, graph loading, and operational traceability. • Proficiency with scripting (e.g., Python), data processing frameworks, and production-minded engineering practices. • Bachelor’s degree from an accredited institution in Computer Science, Engineering, Information Systems, Mathematics, or a related field.

🏖️ Benefits

• 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.