Senior Graph Database Developer

Overview In this role you will lead graph database design and related ETL pipelines to support large, complex datasets for a federal program. You will translate business requirements into scalable graph models and data structures, driving performance and analytic capabilities. You will collaborate with DBAs, data engineers, and stakeholders to ensure data accuracy and reliability while documenting models and processes. This is a mission-driven opportunity to shape data architecture for high-stakes public sector projects and work with cross-functional teams on impactful solutions. Compensation / Benefitscompetitive compensation with bonusesemployer paid health caretraining and development funds401k match ResponsibilitiesLead graph database development and ETL processes on large-scale structured and unstructured datasetsDesign, implement, and maintain graph data models aligned with ontologies and business requirementsDevelop and maintain data structures, schemas, indexes, and relationships for performance and scalabilityIdentify and document entity relationships and constraints and analyze tradeoffs between graph and hybrid schemasCollaborate with DBAs, data engineers, and stakeholders to validate data accuracy and reliabilityDocument graph models, ETL processes, and scripts per industry best practices and government guidelines Key requirementsBachelor’s degree in the listed fields7+ years of experience supporting enterprise database environments4+ years of Cypher experience including data modeling and query optimizationStrong ETL experience for large-scale data environmentsProficiency in SQL and data modeling including schema design and performance optimizationExperience supporting federal financial, compliance, regulatory, or tax administration systems is highly preferredAbility to obtain and maintain an IRS Public Trust clearance (MBI)Cross-team collaborationDocumentation and communicationProblem-solving and trade-off analysisCypher experience with data modeling and query optimizationGraph database design and optimizationETL process design for large-scale data environments