OverviewWe 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
