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# App Dev - Java - Sr

- **Company:** Epitec, Inc.
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Data Migration, Distributed Systems, Data Processing, Cloud Platform System, Apache Spark, Spring-boot, Information Technology, Data Pipelines, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=29f0e3d002e2ff22

## About the Role

* Bachelor's degree in Computer Science, Engineering, or related field
 * 5+ years of professional experience in Java / Spring Boot microservices
 * 4+ years of experience building Spark?based data pipelines
 * 2+ years of cloud experience (AWS, Azure, or GCP)
 * Strong understanding of distributed systems and data processing, * Master's degree in a related field
 * 6+ years of Java / Spring Boot microservices experience
 * 5+ years of Apache Spark experience
 * 3+ years of cloud platform experience
 * 3+ years working with open?source frameworks
 * Experience in financial services, data migration, or system modernization

## Description

Epitec is seeking to hire a Senior Java / Data Engineer to support a high?impact DFS student data migration and backbook card conversion initiative. This role will focus on building and enhancing Java?based microservices, REST APIs, and scalable Spark data pipelines within a modern cloud environment.

You'll play a key role in enterprise?level modernization efforts, ensuring data accuracy, performance, and scalability across critical systems., * Design and develop microservices and APIs using Java and Spring Boot

 * Build and maintain scalable data pipelines using Apache Spark
 * Support data migration and legacy system modernization initiatives
 * Develop and deploy solutions in cloud environments (AWS, Azure, or GCP)
 * Collaborate with cross?functional engineering and data teams
 * Contribute to architecture decisions and best practices for scalability and reliability


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