Data Engineer - Jr. with Security Clearance
Bluehawk LLC, Intelligence Services · Honolulu, HI · 1 mo ago
Information TechnologyFull-time
Responsibilities
- Design and implement scalable and resilient data architectures capable of supporting complex intelligence missions and growing data volumes.
- Develop automated ETL and data transformation processes to ingest, normalize, and integrate data from diverse and non-standard intelligence sources.
- Create and maintain batch and real-time data pipelines to provide consistent, timely access to mission-critical datasets.
- Implement data quality validation mechanisms and monitoring systems to ensure the accuracy, completeness, and reliability of intelligence data.
- Optimize database performance and data retrieval patterns to support rapid intelligence production and analyst workflows.
- Apply data governance and security best practices to ensure compliance with IC and DoD data management policies.
- Maintain detailed documentation, including data dictionaries, schema definitions, and data lineage tracking.
- Implement and maintain data security measures aligned with classification guidelines and compartmentation requirements.
- Collaborate closely with intelligence analysts, data scientists, and computer scientists to translate analytic needs into technical data solutions.
- Participate in JIOC planning conferences, technical working groups, capability development meetings, and national-level intelligence coordination forums to align data engineering solutions with mission needs.
Qualifications
- Education: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related technical field.
- Required Skills:
- Proficiency in core data engineering programming languages, especially Python.
- Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch).
- Solid understanding of ETL/ELT tools, workflow orchestration frameworks, and data pipeline development.
- Hands-on experience with cloud-based data platforms (AWS, Azure, GCP, etc.).
- Understanding of data governance, metadata management, and IC data security requirements.
- Experience optimizing database performance and developing highly efficient queries.
- Ability to integrate structured and unstructured data from multiple intelligence data sources.
- Experience: Minimum 1-2 years of experience in data engineering, database development, or related technical roles.