Data Engineer

Bigbear.ai • Columbia, MD

5h

About The Position

BigBear.ai is seeking a Data Engineer to join a brand-new, high-priority project. This team will be responsible for aggregating data sources to create a comprehensive view of requested and deployed infrastructure, while proactively identifying and alerting on any discrepancies. The application developed by this team will enable subject matter experts to investigate, create, and iterate on best practices and deployment rules. Additionally, the team will proactively identify and alert when requested or provisioned infrastructure violates these best practices and rules. This role focuses on designing, implementing, and supporting schemas across multiple database technologies to answer specific customer questions about infrastructure. If you are passionate about data engineering, database design, and solving complex problems, this is the opportunity for you.

Requirements

• Clearance: Must possess and maintain an active TS/SCI w/Polygraph
• Education & Experience: 12 years of experience with a B.S. in a technical discipline or 4 additional years of experience in place of a degree
• Technical Expertise: Proven experience with OLAP, graph, and document databases
• Strong background in schema design, query optimization, and analytics support
• Ability to translate analytical questions into database design solutions

Nice To Haves

• Cybersecurity Data Analysis: Experience analyzing cybersecurity-related data sets (e.g., network traffic, OS events)
• SIGINT Knowledge: Knowledge of end-to-end SIGINT collection and analysis systems
• CNO Expertise: Experience with production CNO capabilities and operations
• Software Engineering Skills: General software engineering skills, including DevOps, web applications, and ETL
• Version Control: Familiarity with Git and GitLab
• Atlassian Tools: Experience with Atlassian Tools (Jira, Confluence)

Responsibilities

• Schema Design: Design schemas and models in OLAP (Clickhouse), graph (Neo4j), and document (Elastic) databases
• Query Optimization: Optimize queries and data structures for performance and scalability
• Collaboration: Work with analytics engineers to shape how data supports customer missions
• Governance: Implement governance rules to ensure data quality and compliance
• Problem Solving: Translate analytical questions into database design solutions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level