Backend Java Engineer (Big Data Platforms)

US staffing Inc; Town of Texas (WI); On-site; USD 120,000 - 160,000; Full time

Job summary

US staffing Inc is seeking a senior software engineer with 10+ years of professional experience and demonstrated leadership. The role requires hands-on development in Java, JavaScript/TypeScript, or SQL, plus 3+ years building REST services and complex SQL queries.

Candidates should have 2+ years working with big data technologies (Hadoop, Spark, Presto) and experience with AWS (EMR, ECS, Lambda, S3). Proficiency in DevOps CI/CD (Jenkins, CloudFormation) and scripting (Unix Shell or Python) is

Qualifications

• 10+ years of professional software engineering experience with leadership.
• 3+ years building RESTful services and SQL for relational databases.
• 2+ years with big data technologies such as Hadoop, Spark, or Presto.
• Proficient with AWS services (EMR, ECS, Lambda, S3).
• Experience with CI/CD pipelines (Jenkins, CloudFormation).
• Scripting skills in Unix Shell or Python.
• Experience using LLM-based coding tools with disciplined validation.

Skills

Software engineering

Leadership

Java

JavaScript/TypeScript

SQL

REST APIs

Big data

AWS

CI/CD

Shell scripting

Python

LLM coding tools

Tools

Hadoop

Spark

Presto

Job description

• 10+ years of professional software engineering experience with demonstrated leadership capabilities
• 3+ years of hands-on development experience in Java, JavaScript/TypeScript, or SQL
• 2+ years developing REST/web services and writing complex SQL queries for relational databases
• 3+ years working with big data technologies such as Hadoop, Spark, or Presto
• Proven experience with AWS services including EMR (Hive/Presto), ECS, Lambda, and S3
• Proficiency with DevOps practices and CI/CD pipelines using tools like Jenkins and CloudFormation
• Working knowledge of scripting languages including Unix Shell or Python
• Experience using LLM-based coding tools with a disciplined approach to validating output — you don’t merge what you can’t explain