Data Engineer
BigBear.ai2 years ago
Washington, DC, USAMid Level / Senior
Responsibilities
- Design and build end-to-end pipelines to ingest, transform, and deliver structured and unstructured data.
- Develop and operate reliable ETL/ELT processes with strong data quality, consistency, performance, and repeatability.
- Use AWS services including S3, Lambda, Glue, and Redshift for scalable data processing and storage.
- Create and maintain schemas, transformation logic, data dictionaries, lineage/dataflows, and runbooks.
- Monitor and support production data systems for integrity, fault tolerance, redundancy, and operational hygiene.
- Collaborate with engineers, analysts, and stakeholders to deliver data features, documentation, and technical support procedures.
- Support database engineering through indexing, access controls, optimization, and performance tuning.
- Build and integrate APIs for secure, interoperable access to data across systems.
- Implement cloud messaging API and push-notification mechanisms when applicable.
- Continuously improve data engineering tooling, patterns, and practices.
Requirements
- Active TS/SCI clearance that must be possessed and maintained.
- 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.
- Strong foundation in database design, schema design, indexing, optimization, and performance.
- Experience developing and integrating APIs.
- Ability to transform raw data into analytics- and reporting-ready formats with clear quality standards.
- Experience working in collaborative engineering teams.
- Strong troubleshooting skills, attention to detail, and comfort supporting production data systems.
- Preferred experience with cloud messaging APIs, push-notification systems, database administration, performance tuning, production data platform operations, and mission-driven or national security data environments.
Tech Stack
Amazon RedshiftAWS
Categories
Data Engineering
About BigBear.ai
BigBear.ai develops AI-powered decision intelligence software, computer vision, and modeling/simulation tools for U.S. defense, intelligence, federal civilian, and critical-infrastructure markets. It sells software platforms and contract services, often deployed in secure government clouds, to support mission planning, logistics, and cybersecurity. Founded in 1988 and headquartered in McLean, Virginia, BigBear.ai is a public company listed on the NYSE under the ticker BBAI.