Software Engineer

VTG Defense; Chantilly (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading defense technology firm is seeking a Software Engineer with expertise in data engineering. Candidates will design and build scalable data processing systems and backend services, employing technologies like Spark and Java. The role requires proficiency in AWS, Linux, and data quality methodologies. Ideal for individuals who thrive in an Agile environment and have a strong focus on backend service development. This is a unique opportunity to work on complex data solutions in a cloud-based setting.

Qualifications

• Active TS/SCI with Polygraph required.
• Hands-on experience with Spark or PySpark.
• Strong backend development with Java 8+ and Spring Boot.
• Experience with SOLR or Elasticsearch.
• Solid understanding of data quality methodologies.
• Familiarity with AWS cloud environments.

Responsibilities

• Design scalable data processing pipelines using technologies like Spark.
• Build and optimize distributed search using SOLR or Elasticsearch.
• Develop RESTful APIs using Java and Spring Boot.
• Perform data quality analysis to ensure data integrity.
• Write maintainable code in Java, Python, and other languages.

Skills

Data engineering expertise

Distributed data processing

Backend development

Java (8+)

Spring Boot

AWS cloud environments

Linux

RESTful APIs

Version control (Git)

Agile methodologies

Tools

Spark

SOLR

Elasticsearch

Jira

GitHub

Job description

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