Data Engineer (Java, Spring Boot, Kafka)

Job overview

The Data Engineer (Java, Spring Boot, Kafka) role is hybrid, with three onsite days per week in Whippany, NJ, as stated in the posting. Compensation is not specified; the posting lists a maximum rate of $120–$130K without specifying a pay period. The role supports real-time streaming and data platform capabilities for critical financial events. The engineer leads platform architecture and delivery while remaining hands-on in implementation, helping ensure streaming systems are reliable, recoverable, observable, and scalable. The role also guides engineering teams and aligns platform work with business and regulatory requirements.

What you'll do

• Lead architecture, design, development, and operational stewardship of real-time streaming and data platforms
• write and review production code
• lead and develop engineering teams
• own resilient, low-latency streaming solutions
• oversee production health, capacity, reliability, incident response, and recovery
• partner with business, product, architecture, and control stakeholders
• establish engineering practices for testing, releases, observability, and production readiness.

What we're looking for

Skills & competencies

data engineer

java

spring boot

kafka

hybrid

whippany nj

peoplentech

real-time streaming

distributed systems

financial events

platform reliability

engineering leadership

production operations

Work arrangement

• Weekend coverage required

Why this role

Requires at least eight years of hands-on experience operating real-time streaming solutions in production at scale, strong Java skills, and experience leading engineering teams. Kafka, Pulsar, Kinesis, Flink, and Spark Structured Streaming are examples of relevant technologies.

About the employer

PeopleNTech LLC is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.