Senior PostgreSQL Database Engineer - Active TS/SCI required

About the role

Riptide Technology is seeking a Senior Database Design Engineer (Level V) to support cutting-edge Research and Development (R&D), Data Analysis, and Cloud Migration initiatives in a hybrid role at the Naval Research Laboratory (NRL) in Washington, D.C.

This Subject Matter Expert (SME) will lead the design, implementation, and operations of high-performance database infrastructures—spanning PostgreSQL and Oracle Enterprise RDBMS—to support critical, ongoing programs within the Naval Center for Spacecraft Technology (NCST). This dual-database architecture handles massive volumes of multi-source event data, supports data fusion, and is actively transitioning toward modern Cloud architectures.

We are seeking a seasoned Database Design Engineer and Architect who possesses full-spectrum software development capabilities. While you must understand traditional database administration, your primary focus is engineering future-state data models, designing tracking algorithms, managing data migration strategies, and deploying resilient cloud/on-premise database ecosystems.

Core Responsibilities: -

Database Architecture, Administration, & Modernization

- Oracle Enterprise Management: Implement, manage, and tune Oracle Enterprise Edition RDBMS (including Oracle 12c, SQL Developer, and 12c Cloud Console). Expertly install Oracle Enterprise Linux, Oracle software, and manage workloads across bare metal servers, Real Application Clusters (RAC), and Exadata servers.

- Advanced Oracle Security & Optimization: Configure and utilize advanced native Oracle features including Oracle Label Security, Real Application Clusters (RAC), and Oracle Partitioning options via complex SQL programming.

- Database Migration & Planning: Research, engineer, and establish transition paths for shifting legacy Oracle RDBMS data stores to the IC and DoD Cloud data layers. Support data engineering by defining and implementing complex object models (e.g., Unified Object Model, Generalized Entity Model) within cloud environments.

- Infrastructure & OS Management: Support a hybrid suite of virtualized systems and bare metal servers running Red Hat Linux, Oracle Enterprise Linux (OEL), Community Enterprise OS (CentOS), and limited Windows environments.

2. Algorithm Development, Data Fusion, & Tracking

- Multi-INT & Geolocation Tracking: Develop, modify, and enhance data fusion and geographic tracking algorithms for multiple situational awareness data types (GEOINT, SIGINT, OSINT). Optimize track correlation, tracker algorithm performance, and database-level alerting/alarming capabilities.

- Algorithm Review & Long-Term Trending: Perform continuous algorithm analysis, performance measurement, and long-term trending while data remains active. Detect, document, and report anomalies to the Government lead.

- Data Tagging & Characterization: Research and develop automated electronic emission pattern data tagging methodologies.

3. Data Ingestion, Archiving, & Cloud Integration