Graph Data Engineer

Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. They are seeking a Data Engineer to support a cross-functional team building technology-enabled, mission-critical intelligence workflows, focusing on constructing pipelines and systems that enhance decision-making capabilities.

Responsibilities:

• 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
• Experience supporting analytics, graph platforms (like Neo4j), or complex investigative data environments
• Familiarity with DataBricks or Apache Spark for large-scale data processing
• Knowledge of GraphAware Hume or other knowledge graph orchestration tools
• Experience with CI/CD pipelines and automated testing for data workflows
• Active security clearance or the ability to undergo a background investigation for government-related work