Onsite in Cincinnati, OH
Please Note The Work Schedule
Work Schedule: Monday-Friday 3:00 AM - 12:00 PM Eastern time , Weekend flexibility - planned weekend hours for one weekend in June, July and September (Labor Day Weekend).
Our client seeks a DataStage platform engineer to maintain stability and performance during testing, cutover, and post go-live periods. The role will diagnose and resolve abends, tune high-volume workloads, and provide hands-on oversight during Mock cycles and conversion weekend. Successful candidates will enforce platform resilience, reduce operational risk, and ensure predictable data migration that supports critical downstream processes.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $64.00 to $74.00/hr. w2
Responsibilities
- Provide rapid diagnosis and resolution of DataStage job failures to maintain test and production stability.
- Monitor and tune DataStage platform performance under increased test and cutover volumes.
- Deliver hands-on platform oversight and issue resolution during Mock cycles, conversion weekend, and post go-live stabilization.
- Detect and remediate job performance issues, bottlenecks, and abends that could impact conversion processing.
- Tune and optimize high-volume DataStage conversion workloads to meet cutover and Mock throughput requirements.
- Maintain pipeline resilience during key events to avoid delays or failures that affect downstream systems.
- Provide Level 3–4 engineering support for advanced troubleshooting, root cause analysis, and rapid remediation.
- Support business continuity across integrations, including customer account setup, transaction history migration, regulatory reporting, and product readiness.
- Adhere to the work schedule Monday through Friday, 3:00 AM to 12:00 PM Eastern Time, with planned weekend flexibility in June, July, and September.
Experience Requirements
- Advanced expertise with IBM DataStage in enterprise-scale environments.
- Proven experience troubleshooting abends and performance bottlenecks in complex ETL pipelines.
- Hands-on performance tuning for high-volume conversion and Mock testing workloads.
- Experience providing Level 3–4 engineering support, including root cause analysis and incident response.
- Background supporting time-sensitive cutovers, go-lives, and stabilization periods.
- Experience ensuring reliability for downstream systems and regulatory reporting through stable data pipelines.
- Ability to operate in early-morning schedules and planned weekend events as required.