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Ibm Workload Scheduler Jobs (NOW HIRING)

IBM Workload Scheduler (IWS), the leading software automation tool, provides the backbone for automated workload management and monitoring. TWS offers a single console, real-time alerts, reporting ...

Remote Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Define the enterprise data engineering architecture and technology standards across DB2, SQL Server, IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, Collibra and AWS * Develop and maintain ...

Hands-on experience with Stonebranch preferred, or another enterprise workload automation platform such as BMC Control-M, AutoSys, ESP, CA-7, IBM Workload Scheduler (TWS), Redwood RunMyJobs ...

Lead and support the migration of batch scheduling workloads to IBM Z Workload Scheduler (IZWS) * Analyze legacy scheduling platforms (e.g., CA-7, ESP, Jobtrac, Control-M) and translate definitions ...

Sr. IZWS Scheduler Expert

Atlanta, GA · On-site

$74K - $134K/yr

Lead and support the migration of batch scheduling workloads to IBM Z Workload Scheduler (IZWS) * Analyze legacy scheduling platforms (e.g., CA-7, ESP, Jobtrac, Control-M) and translate definitions ...

- IBM Tivoli Workload Scheduler (TWS) for z/OS Administation Responsible for the implementation, configuration, and administration of a TWS 9.5 for z/OS in a End-to-End environment including support ...

Quality Engineer

Plano, TX · Remote

$72K - $130K/yr

... Workload Scheduler (TWS) / IBM Workload Scheduler, including validating job scheduling processes, monitoring batch jobs, and troubleshooting scheduling issues to ensure reliable and efficient ...

Quality Engineer

Plano, TX · On-site

$72K - $130K/yr

... Workload Scheduler (TWS) / IBM Workload Scheduler, including validating job scheduling processes, monitoring batch jobs, and troubleshooting scheduling issues to ensure reliable and efficient ...

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Ibm Workload Scheduler information

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How much do ibm workload scheduler jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for ibm workload scheduler in the United States is $21.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.32 per hour, depending on experience, location, and employer.

What is an IBM Workload Scheduler job?

An IBM Workload Scheduler job involves managing and automating IT workloads and job scheduling across an organization's systems. The role typically includes defining job dependencies, monitoring job execution, troubleshooting failures, and optimizing scheduling processes to improve efficiency. Professionals in this role work with IBM Workload Scheduler tools to ensure timely execution of business-critical tasks while minimizing manual intervention. They may also collaborate with IT teams to integrate scheduling with other enterprise systems. Knowledge of automation, scripting, and system administration is often required for success in this position.

What are the key skills and qualifications needed to thrive in the Ibm Workload Scheduler position, and why are they important?

To thrive as an IBM Workload Scheduler, you should possess strong analytical abilities, experience with job scheduling and workload automation, and a background in IT or computer science. Familiarity with IBM Workload Scheduler (IWS/TWS), scripting languages, and relevant certifications such as IBM Certified Deployment Professional are highly valuable. Attention to detail, effective problem-solving, and excellent communication skills help professionals excel in this role. These competencies ensure reliable job automation, minimize system downtime, and support efficient operation within IT environments.

What are the typical daily responsibilities of an IBM Workload Scheduler?

In a typical day, an IBM Workload Scheduler manages the scheduling, monitoring, and troubleshooting of batch jobs and automated processes across enterprise IT systems. This role involves coordinating with application and infrastructure teams, updating job schedules as required, and resolving scheduling conflicts or failures promptly. You’ll often participate in change management meetings, document schedules or changes, and review performance metrics to optimize workload execution. Strong collaboration skills are important, as you’ll frequently interact with various technical teams to ensure seamless operation of critical business functions.

More about Ibm Workload Scheduler jobs
What cities are hiring for Ibm Workload Scheduler jobs? Cities with the most Ibm Workload Scheduler job openings:
What are the most commonly searched types of Ibm Workload Scheduler jobs? The most popular types of Ibm Workload Scheduler jobs are:
What states have the most Ibm Workload Scheduler jobs? States with the most job openings for Ibm Workload Scheduler jobs include:
Infographic showing various Ibm Workload Scheduler job openings in the United States as of July 2026, with employment types broken down into 44% Full Time, 54% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,663 per year, or $21.5 per hour.

Full-time

Posted 3 days ago


Job description

Key skills: Snowflake, Netezza, Datastage, Healthcare
Project role : Snowflake Data Engineer
Location: REMOTE
Duration: Full-Time
Job Summary:
We are seeking a Data Engineer with deep expertise in Data Warehousing, Cloud Technologies, and Snowflake, along with extensive experience in the Healthcare domain, particularly in Payer and Provider systems.
This role requires a combination of technical leadership, solution design, and hands-on expertise to develop scalable and compliant data architectures for enterprise healthcare solutions. Experience with IBM data warehousing technologies, including IBM NPS (Netezza Performance Server), IBM DataStage, and IBM Workload Scheduler (IWS) Jobs, is highly desirable.
Key Responsibilities:
Solution Architecture & Design:
Design and implement enterprise-scale data warehouse solutions using Snowflake and IBM Netezza (NPS) for healthcare data processing and analytics.
Develop secure, scalable, and HIPAA-compliant cloud-based architectures.
Define best practices, frameworks, and governance for healthcare data integration, interoperability, and analytics.
Architect solutions for payer and provider data management, including claims processing, eligibility verification, risk adjustment, and quality reporting.
Healthcare Data & Cloud Technologies Expertise:
Deep understanding of payer-provider ecosystems, including claims, billing, member enrollment, care management, and EDI transactions (837, 835, 270/271, etc.).
Design and optimize large-scale ETL/ELT pipelines using IBM DataStage and Snowflake for structured and unstructured healthcare data.
Implement FHIR, HL7, EDI, HIPAA, and SOC2-compliant data architectures.
Expertise in Snowflake's features like Snowpipe, Streams, Secure Data Sharing, and Data Cloning.
Experience in cloud migration strategies (AWS, Azure, GCP) and performance tuning of cloud-based healthcare data platforms.
Experience with IBM Workload Scheduler (IWS) Jobs for automating and orchestrating healthcare data workflows.
Collaboration & Leadership:
Work closely with healthcare business leaders, product managers, and IT teams to translate complex business needs into scalable solutions. Lead technical discussions, architectural reviews, and strategic roadmaps for payer and provider data ecosystems.
Mentor and guide junior architects, engineers, and data professionals in healthcare-specific data management best practices.
Onsite Client Engagement:
To engage with healthcare clients, payers, providers, and IT teams. Act as a trusted advisor to clients, driving value-based care initiatives, population health analytics, and claims data modernization.
Bridge communication gaps between business, compliance, and technical teams.
Required Skills & Qualifications:
10+ years of experience in Data Architecture, Cloud Technologies, and Solution Design.
Expert in Snowflake and IBM NPS (Netezza), including performance tuning, security, and healthcare data optimization.
Strong experience in cloud platforms - AWS, Azure, or GCP.
Extensive hands-on experience in IBM DataStage and IBM Workload Scheduler (IWS) Jobs for ETL and job automation.
Extensive experience in US healthcare, payer-provider data models, and regulatory frameworks (HIPAA, CMS, NCQA, ONC). Proficiency in SQL, Python, ETL/ELT tools (e.g., IBM DataStage, Matillion, Talend, Informatica).
Experience with healthcare analytics, predictive modeling, and reporting solutions.
Strong understanding of value-based care models, HEDIS, risk adjustment, and quality reporting.
Preferred Qualifications:
Snowflake Architect Certification.
Experience with FHIR, HL7, EDI transactions, and interoperability solutions.
Knowledge of IBM Netezza (NPS), DataStage, and IWS Job scheduling in a healthcare data environment.
Experience with real-time data streaming (Kafka, Spark Streaming, Databricks) in healthcare.
Experience in AI/ML-driven healthcare analytics.