Data Engineer: Mission-Critical Pipelines on AWS

BigBear.ai; Washington (District of Columbia); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

BigBear.ai is hiring a Data Engineer to join the Data Architecture & Engineering team, building scalable pipelines and analytics-ready datasets for mission-critical outcomes. You’ll partner with engineers, analysts, and stakeholders to deliver data products powering applications, reporting, and decision advantage.

You will work with AWS services to enable secure data processing, collaborate across teams, and contribute to data features, documentation, and operational procedures in a fast-paced,

Formación

• Active TS/SCI clearance must be maintained.
• Bachelor’s degree in CS/Engineering/IS or 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 with Agile teams and collaborative engineering environments.
• Strong troubleshooting skills, attention to detail, and comfort supporting production data systems.

Responsabilidades

• 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.

Conocimientos

ETL development

Data pipeline design

Agile collaboration

Troubleshooting

API development

Data quality

Educación

Bachelor's degree in Computer Science, Engineering, Information Systems, or related

Herramientas

AWS services (S3, Lambda, Glue, Redshift)

Descripción del empleo

BigBear.ai is hiring a Data Engineer to join the Data Architecture & Engineering team, building scalable pipelines and analytics-ready datasets for mission-critical outcomes. You’ll partner with engineers, analysts, and stakeholders to deliver data products powering applications, reporting, and decision advantage.

You will work with AWS services to enable secure data processing, collaborate across teams, and contribute to data features, documentation, and operational procedures in a fast-paced,