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# Java J2EE Developer

- **Company:** Scheduling.com, Inc.
- **Location:** Wilmington, DE, United States
- **Experience:** Experienced
- **Salary:** $124,800.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Amazon S3, Microsoft Azure, Software as a Service, Cloud Engineering, Continuous Integration, Extract Transform Load (ETL), Java Platform Enterprise Edition (J2EE), Python (Programming Language), Shell Script, Software Engineering, Data Streaming, Test-Driven Development (TDD), Large Language Models, Apache Spark, Amazon Relational Database Service, Pyspark, Functional Programming, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines
- **Published:** August 22, 2026
- **Apply:** https://www.careerjet.com/job/us86471998c3fb11f12ba705f7735574a8/eaa

## About the Role

* 4-5+ years of software engineering experience.

 * Strong Java J2EE development experience.

 * Hands-on experience with PySpark/Spark and ETL/streaming pipelines.

 * Strong Python or Java programming skills.

 * Experience with AWS SQS, Lambda, S3, and RDS.

 * Knowledge of CI/CD, TDD, cloud development, security, and application resiliency.

 * Understanding of the complete software development lifecycle.

Preferred Skills

 * Unix/Linux Shell scripting

 * Terraform / Infrastructure as Code

 * Familiarity with LLM technologies and practical OpenAI/Azure use cases

## Description

We are seeking a Software Engineer with strong experience in Java J2EE, PySpark/Spark, AWS, and ETL/streaming data pipelines. The ideal candidate will develop and support scalable, resilient cloud-based applications in an Agile environment.
Key Responsibilities

 * Design, develop, test, deploy, and maintain Java J2EE applications and data pipelines.

 * Build and support ETL and streaming pipelines using PySpark/Spark.

 * Work with AWS services including SQS, Lambda, S3, and RDS.

 * Apply Agile, CI/CD, TDD, security, and resiliency practices.

 * Troubleshoot and improve application and pipeline performance.


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