Location: Chantilly, VA
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*:$160,000 - $180,000
*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary
Position Overview
The Software Developer - Senior supports advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline processes, improve system performance, and strengthen secure data practices while mentoring junior team members and contributing to cross-team standards.
The position also supports advanced AI and GenAI capabilities, data architecture and ETL, enterprise infrastructure, cross-domain environments, and application development and integration across complex, secure technical environments.
Key Responsibilities
Data Engineering and Analytics
- Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools.
- Support large-scale relational data analysis using visualization and high-performance computing.
- Build secure data-ingestion pipelines using open-source, COTS, and GOTS technologies.
- Design and optimize enterprise relational databases and establish standards for operations and security.
- Integrate new data systems with existing data warehouses and improve performance and functionality.
- Contribute to system optimization, secure posture improvements, and cross-team technical standards.
AI and GenAI Engineering
- Support advanced AI, GenAI, and multi-model engineering capabilities.
- Implement multi-model and multi-modality orchestration across reasoning, perception, memory, and tool-execution components.
- Support temporal, spatial, geographic, quantitative, and computer-vision AI implementations.
- Implement Named Entity Recognition, contextual entity extraction, and entity resolution.
- Support multi-step retrieval and structured-output generation.
- Perform complex data parsing and streamlined ingestion.
- Support deep source citation and traceable analytic outputs.
Data Architecture and ETL
- Support vector, graph, and multi-database orchestration.
- Develop, schedule, and optimize automated ETL pipelines.
- Implement Attribute-Based Access Control at the data layer.
- Support provenance and end-to-end data lineage tracking.
- Perform schema-aligned ingestion and normalization of diverse structured and unstructured data.
Enterprise Infrastructure and Cross-Domain Solutions
- Support air-gapped, hybrid, and on-premises operational environments.
- Support container orchestration and distributed systems management using Kubernetes.
- Support locally hosted GPU servers and hyperconverged nodes.
- Support multi-tenant Cross-Domain Solutions.
Application Development and Integration
- Support UI, backend, and middleware engineering using technologies such as TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
- Integrate reasoning components, retrieval systems, databases, and AI/GenAI services.
- Apply modern programming languages and frameworks to application development and integration.
Technical Leadership
- Provide mentorship to junior team members.
- Contribute to cross-team standards and technical best practices.
- Support improvements to system performance, security, and overall platform functionality.
Qualifications
Education
Experience
- Minimum 8 years of relevant experience. [Required]
- 8+ years of experience in data engineering, database design, or related fields. [Required]
- Experience working with structured and semi-structured data and visualization technologies. [Required]
- Familiarity with high-performance computing and mixed-technology environments. [Required]
- Experience improving data workflows, performance, and security. [Required]
Skills
- Strong relational database design skills. [Required]
- Strong SQL skills. [Required]
- Strong ETL/ELT processing skills. [Required]
- Strong analytical, communication, and collaboration skills. [Required]
Preferred Qualifications
- Experience supporting federal or secure, multi-enclave environments.
- Background with advanced visualization platforms or high-volume data processing.
- Knowledge of data modeling, data warehousing, and performance tuning.