Data Engineer

• Design, build, maintain, and troubleshoot reliable data pipelines throughout the software development lifecycle
• Support modernization of legacy U.S. Army financial systems and migration to AWS cloud environments
• Develop Python-based workflows to ingest, transform, validate, and deliver structured and semi-structured data
• Build and support cloud-native data solutions using AWS Glue, Lambda, S3, and CloudWatch
• Integrate data from multiple systems and sources, including APIs and various file formats
• Work with large datasets and improve pipeline efficiency and scalability
• Participate in technical design discussions concerning data integration, storage, performance, and scalability
• Implement automated testing, logging, monitoring, and error handling
• Write clean, reusable, and maintainable code following software engineering and DataOps practices
• Collaborate with engineers, architects, and stakeholders to translate requirements into working software
• Support secure data management, access controls, data governance, and DoW compliance
• Participate in code reviews and Agile development activities
• Document data transformations, pipeline processes, and technical decisions
• Improve workflows, reduce manual processes, and strengthen the Army’s data ecosystem

Explore Data Engineer at 540. Review requirements and application details.