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Hiring: Java J2EE Software Engineer – Intermediate | Contract-to-Hire | Onsite | Wilmington, DE | Columbus, OH | Houston, TX | Plano, TX | Chicago, IL
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Plano, TX, United States
Posted
18 hours ago
ShellAWSETLTDDAgileAzureData PipelineJavaLLMPythonTerraform
Job Description
If you’re interested, please share: Visa Type | W2 Rate | Current Location | F2F Interview Availability Once received, my team will review and contact you to schedule an interview.
Job Title: Software Engineering - Java J2EE - Intermediate
Location: Wilmington, DE; Columbus, OH; Houston, TX; Plano, TX or Chicago, IL (In person)
Duration: Contract to Hire - 6 months
Experince- 5 to 10 Years
Job Description
We are seeking a Jr Software Engineer to join our dynamic team. The ideal candidate will have strong experience in Java J2EE, Spark/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.
Required Skills & Qualifications:
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.
4-5+ 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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