Data Engineer
Indexed description
About The Role
Role Identity & Mission
This senior Data Engineer provides technical leadership, enterprise data architecture expertise, and mission critical engineering support for global Operations in the Information Environment (OIE) and Psychological Operations (PSYOP). The role drives the design, integration, and sustainment of unified data environments that enable scalable analytics, multisource intelligence fusion, and real time decision support for operational users across multiple Combatant Commands.
Core Responsibilities
- Enterprise data engineering - Lead data engineering activities supporting collection, organization, and management of operational and behavioral datasets.
- Multisource data integration - Direct integration of OSINT, SIGINT, HUMINT, CEM, social media analytics, web metrics, surveys, and focus groups into unified, scalable data environments.
- Cloud architecture & storage - Plan and implement cloud-based storage solutions supporting ingestion, processing, retrieval, and cross command accessibility.
- Database development & administration - Oversee development and administration of accessible databases aligned with Government data standards and Security Implementation Guides.
- Pipeline engineering - Lead development of data pipelines using SQL, Python, and R to support transformation, statistical modeling, automation, and machine learning workflows.
- Tagging structures - Direct implementation of LOE/LOP tagging structures to support long term analysis, retrieval, and operational continuity.
- Enterprise alignment - Coordinate with the Cross Task Data Integration Manager to align architecture, ingestion workflows, and integration standards across mission tasks.
- AI enabled integration - Integrate AI enabled tools, including NLP for largescale text analysis, categorization, and behavioral insight extraction.
- Unified analytical platforms - Lead development of unified analytical platforms delivering real time dashboards, decision support outputs, and organized repositories supporting continuity across operational cycles.
- System engineering & maintenance - Direct system configuration, installation, integration, troubleshooting, and operational maintenance of data systems.
Qualifications
- Clearance: TS/SCI active
- Years of Exp/Degree: 8 years with BS/BA, 6 years with MS/MA or 3 years with PhD
- Enterprise data engineering expertise - Cloud architecture, ingestion workflows, unified data environments.
- Technical stack mastery - SQL, Python, R, API integration, NLP tools.
- Database engineering - Configuration, installation, troubleshooting, maintenance, SIG compliance.
- Operational data familiarity - OSINT, SIGINT, HUMINT, CEM, social media analytics, surveys.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.
EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
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