Overview We are looking for a Software Engineer / Data Engineer to join our team. What will you do? • Design, build, and operate large-scale Big Data systems, including persistence, partitioning, indexing, and search capabilities. • Develop and maintain Java-based applications and APIs. • Architect and implement cloud-native solutions using AWS or comparable cloud platforms. • Design and optimize high-performance graph databases containing tens of billions of edges. • Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar technologies. • Build and maintain NoSQL and relational database solutions supporting complex Big Data applications. • Design partition and sort key strategies to ensure consistent system performance. • Develop aggregation operations to de-duplicate records across continuous data feeds. • Build and operate serverless data processing pipelines using AWS Lambda, Step Functions, and PySpark. • Design and operate large-scale geospatial indexing solutions using GeoMESA. • Develop and maintain Kubernetes-based containerized environments. • Implement DevSecOps and agile development practices in production environments. • Maintain configuration management using Git-based repositories. • Facilitate technical discussions across cross-functional teams to develop mission-aligned implementation strategies. • Ensure compliance with federal security, regulatory, and accreditation requirements. • Implement data security and governance controls including LDAP integration, encryption, and auditing. Do you have what it takes? • Active TS/SCI with Polygraph required. • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience • Demonstrated experience with Java development. • Experience designing and operating Big Data systems. • Experience developing and maintaining APIs. • Experience designing cloud-native architectures using AWS or similar cloud platforms. • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph. • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin. • Experience designing and operating NoSQL solutions. • Experience in data modeling, partition sharding, stream processing, and metrics gathering. • Experience developing high-performance data processing pipelines. • Experience with Kubernetes, Docker, and container orchestration. • Experience with Apache NiFi. • Experience implementing DevSecOps and agile methodologies. • Experience with data security controls including encryption and centralized access management (LDAP). • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.). • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3. • Experience working in Linux environments such as CentOS or Rocky Linux. • Experience with Python and related libraries. • Experience supporting large collaboration and development environments •