• Design and build end-to-end pipelines to ingest, transform, and deliver structured and unstructured data, aligned with modern ETL/ELT best practices.
• Develop and operate ETL processes that emphasize data quality, consistency, performance, and repeatability across environments.
• Leverage AWS services (e.g., S3, Lambda, Glue, Redshift) to enable scalable, secure data processing and storage.
• Create and maintain data assets such as schemas, transformation logic, and documentation (data dictionaries, lineage/dataflows, runbooks).
• Monitor and support production data systems, ensuring integrity, fault tolerance, redundancy, and strong operational hygiene.
• Collaborate across teams to deliver new data features and improvements, including documentation of capabilities and technical support procedures.
• Support database engineering tasks including indexing, access controls, optimization, and performance tuning.
• Contribute in an Agile environment, delivering iterative value and responding quickly to evolving mission needs.
• Build and integrate APIs to enable secure, interoperable access to data across systems.
• Work with cloud messaging APIs and implement push-notification mechanisms when applicable.
• Continuously improve tooling, patterns, and practices to strengthen data engineering maturity and mission outcomes.

• Active TS/SCI clearance (must possess and maintain).
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
• 4–8 years of experience in data engineering, ETL development, and/or database administration.
• Strong hands-on experience with AWS and cloud-based data integration.
• Proven ability to design ETL/ELT architecture and build reliable data pipelines at scale.
• Solid foundation in database design and performance (schema design, indexing, optimization).
• Experience with API development and integration.
• Ability to transform raw data into analytics- and reporting-ready formats with clear quality standards.
• Familiarity working in Agile teams and collaborative engineering environments.
• Strong troubleshooting skills, attention to detail, and comfort supporting production data systems.

• Experience with cloud messaging APIs and push notification systems.
• Deeper hands-on experience with database administration and performance tuning.
• Demonstrated curiosity and initiative in adopting new tools/approaches to solve complex problems.
• Experience supporting operations/production support for data platforms.
• Familiarity with national security or other mission-driven data environments.

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.