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# Principal-level Java engineer

- **Company:** P2PSoftTek Inc
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Data Governance, Relational Databases, IBM InfoSphere DataStage, Distributed Computing Environment, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Object-Oriented Software Development, Performance Tuning, Standard Sql, Software Deployment, Data Streaming, Talend, Parquet, Data Processing, Real Time Systems, Data Ingestion, Snowflake, Apache Spark, Spring-boot, Backend, Git, Event Driven Architecture, Data Lakes, Kubernetes, Apache Flink, Apache Kafka, Spark Streaming, Data Management, Front End Software Development, Api Design, Restful APIs, Data Pipelines, Docker, Amazon Redshift, Microservices
- **Published:** June 26, 2026
- **Apply:** https://www.dice.com/job-detail/7aef788f-9b27-4b14-87a5-08da225c619d

## About the Role

* 10 12+ years experience in Java/backend or data engineering

 * Hands-on experience building real-time data pipelines (Kafka, Spark Streaming/Flink)

 * Solid knowledge of relational databases (Redshift, PostgreSQL, Snowflake) and NoSQL databases (MongoDB or similar)

 * Strong Kafka and event-driven architecture experience

 * Strong Microservices experience (Spring Boot, REST APIs)

 * Experience in API development and API consumption

 * Hands-on Spark experience (batch and streaming)

 * Strong SQL and data modeling skills

 * AWS experience (S3, Glue, EMR, Redshift)

 * Experience in regulated/data governance environments

 * CI/CD, Git, Docker/Kubernetes familiarity

Preferred

 * Scala or Python experience

 * Talend/DataStage exposure

 * Data lake experience (Iceberg/Parquet)

 * Frontend/API integration exposure

 * Experience supporting large-scale production systems, Candidates must have hands-on experience building real-time/event-driven data pipelines using Kafka and Spark/Flink, along with strong microservices and API development experience.

## Description

Principal-level Java engineer to design and build enterprise-grade, real-time and batch data processing systems using Java, Spark, Kafka, and Microservices architecture. Strong focus on event-driven pipelines, API development (build + consume), and high-volume streaming platforms., * Architect, design, and implement enterprise-grade Java-based data platforms and distributed processing systems

 * Build and maintain production-ready Spark applications (Java) for batch and real-time processing

 * Design and evolve Kafka-based event streaming and ingestion pipelines

 * Develop and consume REST APIs within microservices architecture

 * Lead architecture ensuring scalability, reliability, and regulatory compliance

 * Apply strong object-oriented design and engineering practices

 * Mentor engineers on performance tuning and production readiness

 * Design and implement MDM solutions (match, merge, survivorship logic)

 * Ensure data quality, observability, and system stability

 * Support production deployments and operational handoffs


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