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Autosys Workload Automation Jobs in Oregon (NOW HIRING)

Autosys Workload Automation information

What is Autosys Workload Automation?

Autosys Workload Automation is an enterprise-level job scheduling and automation tool used to manage, monitor, and schedule jobs across different platforms and applications. It helps organizations automate complex IT processes by allowing users to define and control workflows, dependencies, and job execution times. Autosys supports a range of job types, including scripts, batch processes, and database tasks, making it a versatile solution for automating routine and critical business operations. Its centralized management and alerting features improve operational efficiency and reduce the risk of manual errors.

What are the key skills and qualifications needed to thrive as an Autosys Workload Automation specialist?

To thrive as an Autosys Workload Automation Specialist, you need expertise in job scheduling, workflow management, and scripting languages, often supported by a degree in computer science or a related field. Familiarity with the Autosys tool, UNIX/Linux operating systems, and experience with related automation or monitoring platforms is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for troubleshooting and collaborating with cross-functional teams. These abilities are essential for ensuring reliable, efficient, and error-free automation of critical enterprise workloads.

What are some common challenges faced when managing Autosys Workload Automation in a large enterprise environment?

One of the primary challenges is coordinating and maintaining complex job dependencies across multiple systems and applications, which can lead to increased troubleshooting and monitoring efforts. Large enterprises often have numerous scheduled jobs, making it essential to ensure accurate configuration and timely execution without conflicts. Additionally, Autosys administrators need to stay vigilant about system performance, security patches, and version upgrades to prevent downtime or failures. Effective communication and collaboration with development, operations, and support teams are also crucial for quickly resolving issues and implementing changes.

What is the difference between Autosys Workload Automation vs Job Scheduler?

FeatureAutosys Workload AutomationJob Scheduler
Primary UseAutomating and managing complex batch workflowsScheduling individual or simple batch jobs
ComplexityHandles complex dependencies and workflowsTypically simpler, focusing on basic scheduling
EnvironmentEnterprise-level, large-scale data centersSmall to medium-sized environments
CredentialsRequires specialized knowledge of workload automationBasic understanding of scheduling tools

Autosys Workload Automation is designed for managing complex workflows in enterprise environments, while Job Scheduler is more suited for straightforward job scheduling. Both tools are used in data centers but differ in complexity and scope.

What are the different types of jobs in Autosys Workload Automation?

In Autosys Workload Automation, jobs are categorized into types such as command jobs, file watcher jobs, box jobs, and external job types like Java or SAP jobs. Each job type serves different automation purposes, with command jobs executing scripts or commands, box jobs grouping multiple jobs, and external jobs integrating with other systems. Understanding these types helps in designing efficient job workflows and scheduling tasks effectively.

What job categories do people searching Autosys Workload Automation jobs in Oregon look for?

The top searched job categories for Autosys Workload Automation jobs in Oregon are:

What cities in Oregon are hiring for Autosys Workload Automation jobs?

Cities in Oregon with the most Autosys Workload Automation job openings:

Infographic showing various Autosys Workload Automation job openings in Oregon as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

$90K - $114K/yr

Contractor

Re-posted 16 days ago


Job description


Job Duties:
• Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Experience developing with scripting languages such as Shell and Python
• Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Additional preferences are:
• Experience developing solutions in Snowflake
• Experience with workload automation tools such as Airflow, Autosys.
• Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
• Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Skill Set
Python, SQL, Data