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# Jr Software Engineer

- **Company:** THE JUDGE GROUP, INC.
- **Location:** Wilmington, DE, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Database, Computer Engineering, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, DevOps, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Cloud Services, Shell Script, Software Engineering, Data Ingestion, Large Language Models, Apache Spark, Generative AI, Infrastructure as Code (IaC), Amazon Relational Database Service, Pyspark, Infrastructure Automation Frameworks, Information Technology, Data Management, Functional Programming, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/8f704e46-98f6-4ea7-a670-1027544f446f

## About the Role

* 4+ years of hands-on experience in software engineering, data engineering, or a related field.
 * Strong experience with PySpark, Spark, Java, and ETL/streaming pipeline development.
 * Hands-on experience with AWS services, including SQS, Lambda, S3, and RDS.
 * Advanced proficiency in Python, Java, or both.
 * Solid understanding of software engineering principles, data structures, and distributed data processing.
 * Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline, or equivalent practical experience., * Experience with Shell scripting and Unix/Linux environments.
 * Hands-on experience using Terraform for infrastructure provisioning and management.
 * Familiarity with modern Large Language Models (LLMs) and Generative AI applications.
 * Experience developing practical AI/LLM use cases using Azure OpenAI services.
 * Exposure to Infrastructure as Code (IaC), DevOps practices, and cloud automation.

## Description

* Design, develop, and maintain scalable ETL and real-time streaming data pipelines using PySpark, Spark, and Java.
 * Build and optimize data ingestion, transformation, and processing frameworks for large-scale datasets.
 * Develop cloud-native data solutions utilizing AWS services such as S3, Lambda, SQS, and RDS.
 * Collaborate with cross-functional teams to understand data requirements and deliver reliable, high-performance solutions.
 * Ensure data quality, security, and operational excellence across data platforms.
 * Troubleshoot performance bottlenecks and implement best practices for scalable data engineering solutions.
 * Contribute to the automation and continuous improvement of data infrastructure and deployment processes.


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