Java J2EE Developer
•Today
| Verified Pay check_circle | Provided by the employer$58 - $60 per hour |
|---|---|
| Hours | Full-time |
| Location | Plano, TX 75024 Plano, Texas open_in_new |
Compare Pay
Verified Pay check_circleProvided by the employer This job pays $12.54 per hour more than the average pay for similar jobs in your area.
$24.13
$46.46
$59.00
$66.32
About this job
Job Description
Job Description
Job Title: Java J2EE Developer
Location: Houston, TX; Plano, TX
Work Authorization: US Citizen, Green Card, or GC EAD preferred
W2 Requirement- No C2C, 1099, or third-party profiles accepted.
Job Description
We are seeking a Java J2EE Developer to join our dynamic team. The ideal candidate will have strong experience in Java J2EE, PySpark/Spark, AWS services, and Agile delivery and a proven ability to design, build, and operate resilient ETL and streaming data pipelines in cloud environments.
Responsibilities:
- Design, develop, test, deploy, maintain, and improve Java J2EE and data pipeline solutions.
- Build and support ETL and streaming pipelines using PySpark/Spark.
- Leverage AWS services including SQS, Lambda, S3, and RDS for application and data workflows.
- Apply Agile practices and participate in ceremonies to deliver incremental value.
- Proficiency in Java J2EE application development and common design techniques.
- Extensive hands-on experience with PySpark/Spark and ETL/streaming pipelines.
- Experience with AWS services such as SQS, Lambda, S3, and RDS.
- Advanced proficiency in one or more languages such as Python or Java.
- Understanding of CI/CD, TDD, cloud development, application resiliency, and security.
- Working knowledge across software engineering disciplines including analysis, development, testing, deployment, and maintenance.
- Minimum 5+ years of applied software engineering experience with relevant training or certification.
Preferred Skills:
- Experience with Shell scripting on Unix systems.
- Proficiency with Terraform for infrastructure as code.
- Familiarity with modern LLM techniques and practical LLM use case development on OpenAI Azure.
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