Fraud Tech Java Full-Stack Engineer (Contract)

Randstad Digital Americas; Newark (DE); On-site; USD 71,000 - 85,000; Part time

Job summary

Randstad Digital Americas is seeking a JAVA full stack Developer to join the Fraud Technology team in Newark, Delaware. The role requires 6-8 years of experience, preferably in the financial sector, and involves close collaboration with business and technology partners to deliver robust solutions.

The position is contract-based, with hourly pay ranging from $51.60 to $61.60. Strong communication, problem solving, and a proactive, independent work style are essential.

Qualifications

• 6–8 years of experience, preferably in the financial industry.
• At least one RDBMS and SQL experience (Oracle/Sybase/SQL Server).
• Knowledge of Red Hat OpenShift and messaging systems (Kafka/MQ).
• Experience with Agile/Iterative development and full SDLC.

Responsibilities

• Develop JAVA full stack solutions for fraud technology use cases.
• Collaborate with business and technology partners to deliver solutions.
• Communicate effectively within a supportive team and across stakeholders.

Skills

CXF

Kafka

Maven

Bitbucket

Programming

CI

Eclipse

XML

Hibernate

JSON

JPA

Java/J2EE

JAXWS

JUnit

Microservices

SQL Server

Mockito

MyBatis

OOP design

Oracle

Perforce

SOAP Web Services

SQL

SOA

Source Control

Spring Batch

Spring Boot

Subversion

SVN

Sybase

TDD

Communication skills

Problem solving

Java full stack

Financial industry

Education

Bachelor's Degree

Tools

RDMS

OpenShift

Kafka

MQ

Job description

Randstad Digital Americas is seeking a JAVA full stack Developer to join the Fraud Technology team in Newark, Delaware. The role requires 6-8 years of experience, preferably in the financial sector, and involves close collaboration with business and technology partners to deliver robust solutions.

The position is contract-based, with hourly pay ranging from $51.60 to $61.60. Strong communication, problem solving, and a proactive, independent work style are essential.