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4301 Data Engineer with Security Clearance

Procession SystemsChantilly, VA🇺🇸United StatesPosted 16 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

OVERVIEW: We are seeking a highly skilled Senior-level Data Engineer to join our team deliver engineering tasks to advanced analytic applications across classified environments. You will develop sophisticated data pipelines and ETL processes for desktop and web-based analytic software, facilitate the bulk analysis of relational information, and enable applications that deliver data from diverse data sources. GENERAL DUTIES: * Design and implement complex data pipelines and ETL processes to support cyber investigative capabilities across multi-classification domains * Architect and develop ETL workflows for highly sensitive data in classified environments * Support IC Data Services requirements by integrating various intelligence data sources and systems * Develop and maintain data analytics solutions for desktop and web-based visual analytic applications * Establish applications that produce manageable, actionable intelligence from streams of structured and semi-structured data * Design strategies for enterprise database systems and set standards for operations, programming, and security * Construct and optimize large relational databases across multi-enclave environments (Unclassified, Secret, and Top Secret) * Tune performance of large-scale data workflows, ensuring cost efficiency, low latency, and high availability * Design and manage Elasticsearch/Opensearch clusters for fast search, indexing, and retrieval of large-scale datasets * Integrate new systems with existing warehouse structures and refine system performance and functionality * Implement CI/CD pipelines for data systems, automate monitoring/alerting, and enforce infrastructure-as-code practices * Provide technical leadership and mentorship to other team members * Participate in Program Increments (PIs) and Agile Release Train (ART) activities REQUIRED QUALIFICATIONS: * Bachelor's degree in Computer Science, Data Science, Engineering, or related field * Minimum of 10 years of experience in data engineering or related field * Experience with SAFe Agile framework * Strong understanding of forensic and investigative data requirements * Demonstrated experience designing and implementing data solutions in secure government environments * Advanced proficiency with * Python for data processing, automation and ETL workflow orchestration * SQL (MySQL, PostgreSQL, Microsoft SQL) and query optimization * Elasticsearch or Opensearch (design, scaling, query optimization, cluster management) * Data pipeline technologies (Apache Nifi, Cribl) * Cross-domain ETL solutions for secure data transfer between classification levels * Containerization and orchestration technologies (Docker, Kubernetes) * Cloud platforms (AWS GovCloud, SC2S, C2S) * Experience handling data in accordance with IC security protocols and classification guidelines * IC Data Services frameworks and integration protocols * GraphQL: schema design, API development, query optimization, and integrations * DevSecOps practices and tools in classified environments * RabbitMQ and Redis DESIRED QUALIFICATIONS: * Experience with Intelligence Community Data Services and standards * Prior work with cross-domain solutions for ETL processes * Knowledge of IC specific data formats, schemas and transfer protocols * Experience with specialized IC analytics platforms and data repositories * Prior work integrating intelligence data across multiple enclaves * Cloud certification CLEARANCE: * Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI)

Skills

Docker
MySQL
SQL
AWS
ETL
Agile
Apache
Data Pipeline
GraphQL
Kubernetes
PostgreSQL
Python
RabbitMQ
Redis
SAFe

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