4301 Data Engineer

• 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

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., * 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