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Java Spark Engineer

Berkeley Heights, NJ, US • Posted 1 day ago • Updated Just Now

Contract W2

On-site

DOE

Fitment

Dice Job Match Score™

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Job Details

Skills

Streaming
Performance Tuning
Cost Reduction
Design Review
Data Architecture
Storage
Analytics
Root Cause Analysis
Optimization
Java
Apache Spark
SQL
Data Storage
Apache Kafka
Continuous Integration
Continuous Delivery
Extract
Transform
Load
ELT
Workflow
Orchestration
IT Management
Mentorship
Coaching
Code Review
Facilitation
Communication
Management
Incident Management
Collaboration
Capacity Management
Requirements Elicitation
Data Governance

Streaming
Performance Tuning
Cost Reduction
Design Review
Data Architecture
Storage
Analytics
Root Cause Analysis
Optimization
Java
Apache Spark
SQL
Data Storage
Apache Kafka
Continuous Integration
Continuous Delivery
Extract
Transform
Load
ELT
Workflow
Orchestration
IT Management
Mentorship
Coaching
Code Review
Facilitation
Communication
Management
Incident Management
Collaboration
Capacity Management
Requirements Elicitation
Data Governance

Summary

Key Responsibilities
Architect and build scalable, fault-tolerant data pipelines using Apache Spark and Java
Lead the design and implementation of batch and streaming ETL/ELT systems handling large data volumes
Perform deep performance tuning, including partitioning strategies, memory management, shuffle and skew optimization, and job cost reduction
Establish coding standards and lead code and design reviews across the team
Drive technical decisions related to data architecture, storage formats, and pipeline orchestration
Mentor mid-level and junior engineers and serve as a technical escalation point
Partner with product, analytics, and platform teams to translate requirements into scalable data systems
Own production reliability, including on-call responsibilities, incident response, and root-cause analysis for pipeline failures
Evaluate and introduce new tools and frameworks where they improve system performance, reliability, or maintainability
Contribute to capacity planning and cost optimization for cluster infrastructure
Communicate technical tradeoffs, risks, and developmental challenges effectively with technical and non-technical stakeholders
Work effectively both independently and as part of a collaborative team in a changing environment

Required Qualifications
7+ years of experience
Bachelor's degree in Computer Science, Engineering, or a related field
Master's degree in Computer Science, Engineering, or a related field

Skills
Java Development
Apache Spark
Distributed Systems
SQL
Data Storage Formats
Cluster Managers
Kafka
CI/CD
Containerization
Infrastructure-as-Code
ETL/ELT Pipeline Design
Stream Processing Frameworks
Workflow Orchestration
Multi-tenant and Multi-region Data Platform Design
Technical Leadership
Mentoring and Coaching
Code Review Facilitation
Stakeholder Communication
Cross-team Dependency Management
Incident Response Coordination
Capacity Planning
Requirements Gathering
Data Governance

Schedule
Start date: 2026-09-23

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: compun
Position Id: GARDC5907057
Posted 1 day ago

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