Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Chantilly, VA, United States
Posted
6 weeks ago
DockerMySQLSQLAWSETLAgileApacheData PipelineGraphQLKubernetesPostgreSQLPythonRabbitMQRedisSAFe
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)
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