Graph Database Engineer - TSSCI w/ Poly

We are seeking a skilled Graph Database Developer to support the design, development, and optimization of graph-based data solutions. The ideal candidate will have experience building and maintaining graph databases, modeling complex relationships, ingesting large datasets, and enabling advanced analytics while ensuring compliance with established data ontologies and governance standards.

Key Responsibilities * Design, develop, and maintain graph database solutions to support mission-critical analytics and decision-making. * Create and optimize graph data models that accurately represent complex entities and relationships. * Develop processes and pipelines to ingest, transform, and integrate structured and unstructured data into graph database environments. * Implement and support graph analytics capabilities, including relationship analysis, pattern detection, link analysis, and knowledge discovery. * Ensure data quality, governance, and compliance with established ontologies, taxonomies, and metadata standards. * Collaborate with data engineers, architects, and stakeholders to align graph-based solutions with business and mission objectives. * Optimize graph database performance, scalability, and query efficiency.

Required Qualifications * Experience developing and managing graph databases such as Neo4j, Amazon Neptune, TigerGraph, ArangoDB, or JanusGraph. * Strong understanding of graph data modeling and best practices for representing complex relationships. * Experience designing and implementing data ingestion and ETL/ELT processes for graph environments. * Knowledge of graph analytics, network analysis, and entity relationship discovery techniques. * Experience working with data ontologies, semantic models, metadata standards, and data governance frameworks. * Proficiency with query languages such as Cypher, Gremlin, or SPARQL. * Strong programming skills in Python, Java, or similar languages used for graph application development. Preferred Qualifications * Experience supporting federal government, intelligence community, or defense initiatives. * Knowledge of knowledge graphs, semantic technologies, and linked data principles. * Familiarity with cloud-based graph database platforms in AWS, Azure, or Google Cloud environments.