Mainframe DB2 Replication Engineer - 26-13782


Phoenix, AZ
Phoenix, Arizona
7 Locations
Posted On: October 12, 2026
Last Day to Apply: October 19, 2026
Pay: From $50.00 per hour

Job Title: Mainframe DB2 Replication Engineer

Duration: 6 Months

Work Location: Hybrid – 3 Days Onsite, 2 Days Work From Home

Locations: Phoenix, AZ; Plano, TX; Charlotte, NC; Richmond, VA; Jacksonville, FL; Pennington, NJ; Chicago, IL

Job Overview

We are seeking an experienced Mainframe DB2 Replication Engineer to design, implement, configure, and support data replication solutions across IBM z/OS and distributed environments. This role focuses on real-time data synchronization, Change Data Capture (CDC), high availability, and data consistency for mission-critical enterprise applications.

The ideal candidate will have strong expertise in DB2 replication technologies, mainframe systems, performance optimization, and real-time data streaming architecture.

Key Responsibilities

Replication Design and Implementation

  • Design, install, configure, and maintain DB2 replication solutions across mainframe and distributed platforms.

  • Develop and manage source-to-target data replication pipelines.

  • Configure and maintain capture processes, apply processes, and control servers.

  • Implement unidirectional and bidirectional replication solutions.

  • Support real-time and near-real-time data synchronization.

Troubleshooting and Production Support

  • Troubleshoot and resolve data inconsistencies, replication failures, queue backlogs, and network interruptions.

  • Perform root cause analysis and implement corrective actions.

  • Provide Level 2 and Level 3 production support for replication-related incidents.

  • Monitor replication health and ensure data integrity and availability.

Performance Optimization

  • Tune replication processes to reduce latency and optimize resource utilization.

  • Implement MIPS reduction and optimization initiatives.

  • Optimize data capture efficiency, apply performance, and network utilization.

  • Minimize replication overhead and performance impact on source systems.

Integration and Data Architecture

  • Support integration between DB2 for z/OS, DB2 LUW, distributed databases, messaging systems, and ETL platforms.

  • Design and support real-time data streaming and replication architectures.

  • Collaborate with DBAs, application teams, data engineering teams, and business intelligence teams.

  • Support data migration, modernization, and hybrid data architecture initiatives.

Mainframe and System Administration

  • Work with JCL, TSO/ISPF, SDSF, and mainframe batch and online environments.

  • Support UNIX System Services (USS), including UNIX patch installation and maintenance.

  • Develop and maintain UNIX scripts for administration, monitoring, and automation.

  • Work with RACF for mainframe security and access control.

  • Support replication infrastructure maintenance, monitoring, and operational improvements.

Required Qualifications

  • Hands-on experience with DB2 for z/OS.

  • Experience with IBM InfoSphere Data Replication (IIDR) and Change Data Capture (CDC).

  • Working knowledge of IBM Q Replication; preferred for this role.

  • Experience with ZDIH.

  • Experience with MIPS reduction and mainframe performance optimization projects.

  • Knowledge of replication architecture, data flow design, and CDC concepts.

  • Experience with UNIX System Services, UNIX patch installation, and UNIX scripting.

  • Knowledge of RACF and mainframe security administration.

  • Strong troubleshooting skills related to data consistency, replication failures, performance, and latency.

  • Experience with JCL, TSO/ISPF, SDSF, and mainframe batch and online processing.

Preferred Qualifications

  • Familiarity with IBM MQ and other messaging systems.

  • Experience with ETL processes and data warehousing platforms.

  • Knowledge of monitoring tools and automation using REXX, Python, or shell scripting.

  • Exposure to cloud-based and hybrid data architectures.

  • Experience supporting large-scale data migration and modernization programs.

  • Understanding of real-time data streaming architecture and enterprise data integration patterns.

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