Graph Data Engineer
Redhorse Corporation3 months ago
Arlington, VA, USASenior
Base Salary
$140k - $170k/yr
Responsibilities
- Design, build, and deploy automated pipelines that discover enterprise data assets and ingest schemas, tables, columns, API endpoints, and other technical metadata.
- Align discovered data elements with enterprise and domain ontologies while preserving local naming conventions and resolving modeling conflicts.
- Design and maintain data lineage and provenance chains documenting data origins, transformations, and governance.
- Write, optimize, and review graph queries for metadata retrieval, logical validation, and graph manipulation.
- Integrate heterogeneous legacy, cloud, and distributed systems through APIs and assess impacts across the broader enterprise semantic map.
- Maintain and optimize enterprise graph databases, including schema and query performance, for analyst, application, and AI-agent search and discovery.
- Associate data assets with governance metadata such as ownership, classifications, handling rules, and access constraints.
- Partner with AI engineers on graph-grounded retrieval, planning, research, and tool-agent workflows.
- Mentor junior engineers, review technical work, document schema decisions and runbooks, and communicate technical positions to architects, program leadership, and government stakeholders.
Requirements
- Bachelor’s degree with 5+ years of relevant professional experience or equivalent.
- Active TS SCI clearance.
- Foundational proficiency in programming or scripting for automation, relational database querying, structured and semi-structured data formats, graph query languages, and knowledge graph concepts.
- Hands-on experience building and operating production data pipelines or ETL processes with error handling, monitoring, and scheduling.
- Practical experience with at least one enterprise graph database platform, including schema design and query performance considerations.
- Experience integrating heterogeneous systems through APIs across legacy, cloud, and distributed environments.
- Ability to reason about enterprise-wide effects of pipeline and modeling decisions and communicate semantic and architectural choices to technical and non-technical stakeholders.
- Preferred experience with RDF, OWL, SHACL, government or defense semantic models, LLM orchestration, retrieval-augmented generation, agentic workflows, data lineage specifications, metadata catalogs, workflow orchestration, cloud data platforms, containerized deployment, CI/CD, and regulated or defense data environments.
Benefits
- Eligible employees may participate in Redhorse’s comprehensive benefits programs and may be eligible for performance-based or other incentive compensation.
About Redhorse Corporation
Redhorse Corporation provides data analytics, AI, and digital transformation consulting to U.S. government agencies, especially in national security, infrastructure, and environmental programs. It delivers technology-agnostic solutions, systems integration, and data engineering to help the Department of Defense and civilian agencies improve decision-making and operations under professional services contracts. Founded in 2008 and headquartered in Arlington, Virginia, the company is privately held.