Data Engineer

Location: Chantilly, VA
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*:$114,000 - $172,000

• 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

Support advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis of structured and semi-structured data. Streamline processes, improve system performance, and strengthen secure data practices while mentoring junior team members and contributing to cross-team standards.

Key Responsibilities

Data Processing 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.

Data Ingestion and Integration

• Build secure data ingestion pipelines using open-source, COTS, and GOTS technologies.
• Integrate new data systems with existing data warehouses.
• Improve system performance and functionality.

Database Design and Security

• Design and optimize enterprise relational databases.
• Establish standards for database operations and security.
• Contribute to system optimization and security posture improvements.

Mentorship and Cross-Team Standards

• Mentor junior team members.
• Contribute to cross-team standards.

Qualifications

Education

• Bachelor’s degree. [Required]

Experience

• Minimum of 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]
• Experience improving data workflows, performance, and security. [Required]

Skills

• Strong skills in relational database design, SQL, and ETL/ELT processing. [Required]
• Familiarity with high-performance computing and mixed-technology environments. [Required]
• Strong analytical, communication, and collaboration skills. [Required]

Application Requirements

• In-house custom-developed application.

Advanced AI, GenAI, and Multi-Model Engineering

• Multi-model and multi-modality orchestration involving reasoning, perception, memory, and tool execution.
• Temporal, spatial, geographic, quantitative, and computer vision AI implementation.
• Named Entity Recognition (NER), contextual entity extraction, and resolution.
• Multi-step retrieval and structured output generation.
• Complex data parsing and streamlined ingestion.
• Deep source citation and traceable analytic outputs.

Data Architecture and ETL

• Vector, graph, and multi-database orchestration.
• Automated ETL pipeline creation, scheduling, and optimization.
• Attribute-Based Access Control (ABAC) at the data layer.
• Provenance and end-to-end data lineage tracking.
• Schema-aligned ingestion and normalization of diverse structured and unstructured data.

Enterprise Infrastructure and Cross-Domain Solutions

• Air-gapped, hybrid, and on-premises operational environments.
• Container orchestration and distributed systems management using Kubernetes.
• Locally hosted GPU servers and hyperconverged nodes.
• Multitenant Cross-Domain Solutions (CDS).

Application Development and Integration

• UI, backend, and middleware engineering using TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
• Integration of reasoning components, retrieval systems, databases, and AI / GenAI services.
• Use of modern programming languages and frameworks.

Preferred Qualifications

• Experience supporting federal or secure, multi-enclave environments.
• Background with advanced visualization platforms or high-volume data processing.
• Knowledge of data modeling, warehousing, and performance tuning.