Software Engineer - Mid - DHS - Secret + EOD clearance required to apply

As a Software Engineer, the work you'll do will be impactful to the mission of the Department of Homeland Security. You will play a crucial role in building and maintaining data processing pipelines and data ingestion workflows using Spring Boot, XML/XSLT, and related technologies. Design, implement, and maintain data ingestion and transformation pipelines using Java and Spring Boot in a distributed computing environment. Develop and optimize XML/XSLT-based data processing logic for structured and semi-structured data. Integrate with APIs, web services, and SQL and NoSQL databases to facilitate data exchange and validation. Troubleshoot and resolve data processing issues, ensuring accuracy, performance, and compliance with federal standards.

• Contribute to system documentation, testing, and continuous process improvement efforts.
• Support deployment and maintenance of data pipeline components in on premise and in hybrid and cloud environments.

WHAT YOU'LL NEED TO SUCCEED The Software Engineer must have: Education: Bachelor's degree in Computer Science, Information Systems, or a related field. Experience: ***3+ years of professional Java development experience, with a focus on data processing or integration.*** Technical skills: Java, Spring, XML, and XSLT Security clearance level: Secret US citizenship required Strong understanding of data formats (e.g., JSON, CSV, XML) and transformation techniques.

• Experience with relational databases and SQL.

PREFERRED QUALIFICATIONS

• Experience with AWS services (e.g., S3, Lambda, Glue) or containerization tools such as Docker.
• Knowledge of ETL frameworks, data validation, or schema mapping.
• Familiarity with Red Hat Enterprise Linux (RHEL) and shell scripting for automation and deployment.
• Understanding of security and compliance standards (FISMA, NIST, FedRAMP).
• Familiarity with CI/CD tools (e.g., Jenkins, Maven) and Agile methodologies.
• Prior experience supporting federal agencies or large-scale data systems.