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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graph Data Engineer - **Company:** Redhorse Corporation - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JIRA, Automation of Tests, Big Data, Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Graph Database, Python (Programming Language), Neo4j, Scripting, Data Ingestion, Apache Spark, Gitlab, Semi-structured Data, Information Technology, Data Lineage, Integration Frameworks, Data Management, Software Version Control, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9107150/graph-data-engineer ## About the Role * 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. 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 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. 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., 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 Talent-Acquisition@redhorsecorp.com ## Description Redhorse transforms the way government uses data and technology. We are seeking a Data Engineer to support a cross-functional team building technology-enabled, mission-critical intelligence workflows. Most intelligence transformation technologies fail because they are disconnected from how analysts think and act under pressure-our team works to prevent that. Working in close partnership with graph data scientists and other engineers, you will ensure our state-of-the-art analytic platform (GraphAware Hume) supports real-world operational tradecraft. This is not a role focused on producing intelligence products; it is a role focused on building the pipelines and systems that produce decision advantage. You will play a vital part in ensuring the analytics platform answers complex queries and results in a user experience that delights analysts and survives contact with reality., * 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. ## Related Videos - [Your organization as a Graph](https://www.wearedevelopers.com/videos/2051-your-organization-as-a-graph) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Graphs and RAGs Everywhere... 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