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Software Engineer

VTG Defense
United States, Virginia, Chantilly
14291 Park Meadow Drive (Show on map)
Feb 13, 2026
Overview

We are seeking a Software Engineer with strong data engineering expertise to design, build, and optimize scalable data processing systems and backend services. This role blends large-scale data processing, search/indexing technologies, and modern backend development within a cloud-based environment.

The ideal candidate is comfortable working with distributed data systems, developing production-grade APIs, and ensuring high data quality across complex pipelines.


What will you do?

  • Design and develop scalable data processing pipelines using technologies such as Spark or PySpark.

  • Build and optimize distributed search and indexing solutions using SOLR or Elasticsearch.

  • Develop backend services and RESTful APIs using Java (8+), Spring Boot, and modern design principles.

  • Perform data quality analysis, validation, and transformation to ensure integrity and reliability of datasets.

  • Write efficient, maintainable code in Java, Python, JavaScript, and Bash.

  • Deploy and maintain backend and data solutions in AWS cloud environments.

  • Work within Linux-based systems (e.g., CentOS) for development, testing, and deployment.

  • Apply Regular Expressions (RegEx) for parsing, data transformation, and text processing tasks.

  • Participate in Agile development processes, leveraging tools such as Jira and GitHub for collaboration and version control.

  • Support migration efforts to modern Java versions (transitioning from Java 8 to Java 17).


Do you have what it takes?

  • Active TS/SCI with Polygraph required.
  • Hands-on experience with distributed data processing frameworks (Spark or PySpark).

  • Experience implementing search and indexing platforms (SOLR or Elasticsearch).

  • Strong backend development experience with Java 8+ and Spring Boot.

  • Experience designing and consuming RESTful APIs.

  • Solid understanding of data quality methodologies and data validation techniques.

  • Experience working in AWS cloud environments.

  • Proficiency in Linux operating systems.

  • Familiarity with Git-based version control and Agile workflow

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