Data Engineer

Description: This is a brand new, high-priority project. This team will be responsible for aggregating data sources to create a clear picture of what infrastructure was requested, what infrastructure was deployed, and proactively alert on any discrepancies. The team’s application will then be used by subject matter experts to investigate, create, and iterate on best practices and deployment rules. Then, the team will proactively identify and alert when requested or provisioned infrastructure breaks those best practices and rules. This team must interact with many stakeholders from across the organization and iterate as frequently as possible. This role focuses on designing, implementing, and supporting schemas across multiple database technologies to answer specific customer questions about infrastructure. Responsibilities:

• Design schemas and models in graph (Neo4j), document (Elastic), and relational (Postgres) databases.
• Optimize queries and data structures for performance and scalability.
• Work with analytics engineers to shape how data supports customer missions.
• Implement governance rules to ensure data quality and compliance.

Best Practices, Data Collection, Database Technology, Resolve Customer Issues, Neo4j, Database Design, PostgreSQL, Data Structures, Query Optimization, Customer Support/Service, * Proven experience with graph, document, and relational databases.

• Strong background in schema design, query optimization, and analytics support.
• Ability to translate analytical questions into database design solutions.

Nice to Haves:

• Experience analyzing cyber security-related data sets (network traffic, OS events).
• Knowledge of end-to-end SIGINT collection and analysis systems.
• Experience with production CNO capabilities and operations.
• General software engineering skills (devops, web applications, ETL, etc.)
• Familiarity with Git and GitLab.
• Atlassian Tools (Jira, Confluence).