ME00379-Cloud Developer 4

Momentum Engineering, Inc., a Woman-Owned Small Business (WOSB), fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.

Job Summary

• As a Graph Database Engineer, you will lead the design, implementation, and optimization of graph database solutions that power mission-critical intelligence applications
• You will architect graphs that model complex relationships within data, enabling advanced analytics, pattern recognition, and discovery capabilities that traditional databases cannot support
• Your expertise will drive the development of graph-based applications that reveal hidden connections and deliver actionable insights to analysts and decision-makers
• You'll work across teams to translate domain knowledge into effective graph schemas, develop high-performance queries, and build intuitive interfaces that make complex relational data accessible
• This role requires a unique blend of database expertise, software development skills, and an understanding of how to represent and analyze connected data

Primary Responsibilities

• Design and implement graph data models based on domain requirements
• Develop efficient graph queries and algorithms to extract insights from connected data
• Build applications that leverage graph database capabilities for relationship analysis
• Optimize graph database performance and scalability
• Collaborate with data engineers to integrate graph databases with other data sources
• Participate in architectural design discussions for graph-based systems
• Evaluate and recommend graph technologies based on project requirements
• Document graph schemas, queries, and application architectures
• Provide guidance on best practices for graph data modeling and querying
• Consider performance trade-offs of various graph modeling approaches and contribute to technical decision-making

Required Qualifications

• Graph Theory Fundamentals: Strong understanding of graph theory concepts including nodes, edges, properties, traversals, and relationship patterns essential for effective graph database design
• Graph Query Language Proficiency: Demonstrated expertise in one or more graph query languages such as Cypher (Neo4j), Gremlin (Apache TinkerPop), SPARQL, or GraphQL for complex data retrieval and manipulation
• Advanced Graph Data Modeling: Experience translating business requirements into optimized graph schemas, including property graphs, RDF triples, or knowledge graph ontologies
• Graph Algorithm Implementation: Practical experience applying graph algorithms (e.g., path finding, centrality measures, community detection, similarity calculations) to solve complex analytical problems
• Graph Database Architecture: Experience designing, deploying, and administering production graph database systems with consideration for scalability, availability, and security requirements
• ACID Transaction Management: Understanding of transaction principles in graph databases, including consistency models, isolation levels, and techniques for maintaining data integrity in concurrent environments
• Graph Visualization Development: Experience implementing interactive graph visualization solutions using tools such as D3.js, Gephi, KeyLines, or similar technologies to communicate complex relationships effectively
• Performance Optimization: Demonstrated ability to tune graph queries, optimize indexes, leverage caching strategies, and implement database-specific best practices to improve query performance
• System Integration: Experience integrating graph databases with other data systems and applications through APIs, ETL pipelines, event streaming, or microservices architectures
• Data Migration and ETL: Proficiency in designing and implementing processes for importing, transforming, and exporting data between various formats and graph database environments, including handling large-scale data sets

Desired Qualifications

• Familiarity and experience with the Intelligence Community (IC), and the intel cycle
• Ability to be on-site 60% of the time at a client SCIF located in Washington, D.C.
• Strong verbal and non-verbal communication skills
• Strong interpersonal skills, with the ability to work effectively in a team environment and build strong relationships with team members

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.