Data Engineer

Bigbear.ai • Washington, DC

1d

About The Position

BigBear.ai is hiring a Data Engineer to join its Data Architecture & Engineering team and support mission-critical outcomes. The role builds scalable, secure, and reliable data pipelines that transform complex raw data into trusted, analytics-ready datasets. The Data Engineer partners with engineers, analysts, and stakeholders to deliver data products that power applications, reporting, and decision advantage in high-impact environments. Applicants must reside in the United States at the time of application.

The position involves designing and operating data pipelines and ETL/ELT processes, using AWS services for scalable data processing and storage, maintaining data assets and documentation, and supporting production data systems. It also includes database engineering, API development and integration, collaboration in an Agile environment, and continuous improvement of data engineering practices.

Requirements

• Must reside in the United States at the time of application.
• Must possess and maintain an active TS/SCI clearance.
• 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.
• Ability to design ETL/ELT architecture and build reliable data pipelines at scale.
• Solid foundation in database design and performance, including schema design, indexing, and optimization.
• Experience with API development and integration.
• Ability to transform raw data into analytics- and reporting-ready formats with clear quality standards.
• Familiarity with Agile teams and collaborative engineering environments.
• Strong troubleshooting skills, attention to detail, and comfort supporting production data systems.

Nice To Haves

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

Responsibilities

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

What This Job Offers

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