Job Summary:
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. They are seeking a highly skilled and motivated Data Engineer to join their Data Architecture & Engineering team, responsible for designing and building scalable data pipelines that transform raw data into actionable insights.
Responsibilities:
• Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices.
• Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments.
• Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing.
• Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation.
• Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems.
• Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures.
• Support database management and administration tasks such as performance tuning, indexing, and access control.
• Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs.
• Develop and integrate APIs to support data access and interoperability across systems.
• Work with cloud messaging APIs and implement push notification mechanisms where applicable.
• Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes.
Qualifications:
Required:
• Clearance: Must possess and maintain a TS-SCI clearance
• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field
• 4-8 years of relevant experience in data engineering, ETL development, or database administration
• Proficiency in Amazon Web Services (AWS) and cloud-based data integration
• Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
• Solid understanding of database management, including schema design, indexing, and optimization
• Experience with API development and integration
• Ability to manage and transform raw data into usable formats for analytics and reporting
• Familiarity with Agile methodologies and collaborative development environments
• Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems
Preferred:
• Experience with cloud messaging APIs and push notification systems
• Hands-on experience with database administration and performance tuning
• Keen interest in learning and applying the latest data tools and technologies to solve real-world problems
• Experience supporting technical support functions related to data infrastructure
• Familiarity with national security or mission-driven data environments
Company:
BigBear.ai's mission is to deliver clarity for the world's most complex decisions. Founded in 2020, the company is headquartered in Fairfax, USA, with a team of 501-1000 employees. The company is currently Late Stage.