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# Java developer with Spark

- **Company:** Propertyvalue Quantum Technologies Llc
- **Location:** Berkeley Heights, NJ, United States
- **Experience:** Expert
- **Salary:** $180,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Database Queries, Distributed Systems, Memory Management, Fault Tolerance, Performance Tuning, Workflow Management Systems, Parquet, Apache Yarn, Apache Spark, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Avro, Apache Kafka, Data Management, Stream Processing, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/86b2ac18-cffa-4fde-b5f3-82f5f4be7ab7

## About the Role

Bachelor s or master s degree in computer science, Engineering, or related field

7+ years of professional Java development experience

5+ years hands-on experience with Apache Spark in production environments

Expert-level understanding of distributed systems: fault tolerance, data locality, shuffle mechanics, resource management

Proven track record designing systems processing terabyte+ scale data

Strong SQL skills and deep familiarity with columnar storage formats (Parquet, ORC, Avro, Delta Lake/Iceberg)

Experience with cluster managers (YARN, Kubernetes) and cloud-managed Spark

Proficiency with Kafka

Strong grasp of CI/CD, containerization, and infrastructure-as-code practices

Preferred Qualifications

Experience with Flink or other stream-processing frameworks

Familiarity with data governance, lineage, and quality frameworks

Experience with workflow orchestration at scale

Background in system design for multi-tenant or multi-region data platforms

Prior experience leading a team or acting as a technical lead

Soft Skills / Leadership

Excellent communication able to explain technical tradeoffs to non-technical stakeholders

Strong mentorship and coaching ability

Comfortable driving ambiguous, cross-team technical initiatives

## Description

Architect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)

Lead design of batch and streaming ETL/ELT systems handling large data volumes

Deep-dive performance tuning: partitioning strategy, memory management, shuffle/skew optimization, job cost reduction

Set coding standards and lead code/design reviews across the team

Drive technical decisions on data architecture, storage formats, and pipeline orchestration

Mentor mid-level and junior engineers; act as a technical escalation point

Partner with product, analytics, and platform teams to translate requirements into scalable systems

Own production reliability on-call ownership, incident response, root-cause analysis for pipeline failures

Evaluate and introduce new tools/frameworks where they improve the system

Contribute to capacity planning and cost optimization for cluster infrastructure


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