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Autosys Engineer Jobs (NOW HIRING)

Work with Autosys for batch scheduling and job monitoring * Use Oracle and SQL for data validation and issue investigation * Coordinate with L2 support teams, platform teams, SMEs, and engineering ...

Production Support Engineer

Plano, TX ยท On-site

$40.50 - $52.75/hr

... Engineer. The primary responsibility of this role is to provide L2L3 production support for ... Autosys. โ€ข Troubleshoot job failures rerun jobs and handle scheduling issues. โ€ข Work on Oracle ...

Platform engineering , upgrades of linux under IIS/Autosys version Autosys upgrades Shell/Perl/AWK programming Thanks Gayathri S E*Pro, Inc T - (732) 283-0499 Ext 220 Additional Information FULLTIME ...

Oracle PL/SQL Developer

Charlotte, NC ยท On-site

$49.50 - $62.50/hr

Oracle PL/SQL Developer Duration: 12 months Location: 3 days a week in Charlotte, NC Extensive ... Autosys Scheduler 2 - 4 Years Required Skills: The HM is looking for someone with strong Oracle PL ...

Pentaho Mongo DB Engineer - 6+ years Jersey City, NJ / New York City, NY Required Skills ... Familiarity with Linux shell scripting, job scheduling tools (e.g., Control-M, Autosys), and ...

DevOps Engineer

Bethesda, MD

$56.50 - $77.25/hr

... s Engineer, Bethesda, MD (fulltime or CTH) Experience in working as DEVOPS engineer and exposure ... Zena, Autosys, Control M, Maestro. Additional Information All your information will be kept ...

Oracle GL Developer

Hopewell, NJ ยท On-site

$58.50 - $72.75/hr

Oracle GL Developer Location: Hopewell, NJ Type: Fulltime// permanent Interview Process: Phone and ... The application includes more into PLSQL/SQL, UNIX, Oracle Apps General Ledger (GL), Autosys.

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Autosys Engineer information

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$25

$53

$76

How much do autosys engineer jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for autosys engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What are Autosys Engineers?

Autosys Engineers are IT professionals who specialize in managing and supporting the Autosys job scheduling tool. They are responsible for designing, implementing, and maintaining job schedules and workflows that automate business processes across various systems. Their role often includes troubleshooting job failures, optimizing performance, and collaborating with development and operations teams to ensure seamless automation. Autosys Engineers play a critical part in ensuring that automated tasks run reliably and efficiently in enterprise environments.

What are some common challenges Autosys Engineers face when managing large-scale job scheduling environments?

Autosys Engineers often encounter challenges such as optimizing job dependencies to prevent bottlenecks, ensuring high availability and disaster recovery, and managing frequent changes or updates to job schedules. In large environments, they must also coordinate with multiple teams to handle overlapping job windows and troubleshoot job failures efficiently. Effective communication and strong analytical skills are essential for resolving issues quickly while minimizing business impact.

What is the difference between Autosys Engineer vs Workload Automation Engineer?

AspectAutosys EngineerWorkload Automation Engineer
CertificationsAutosys certification, scripting skillsAutomation tools certifications, scripting knowledge
Work EnvironmentData centers, enterprise IT teamsIT departments, cloud and on-premises environments
Industry UsageFinancial, healthcare, telecom sectorsVarious industries requiring automation solutions

Autosys Engineer and Workload Automation Engineer roles often overlap in automation tools and scripting skills. Autosys Engineers focus specifically on managing and maintaining Autosys scheduling tools, while Workload Automation Engineers may work with multiple automation platforms. Both roles are vital in enterprise IT environments to ensure efficient job scheduling and process automation.

What are the key skills and qualifications needed to thrive as an Autosys Engineer, and why are they important?

To thrive as an Autosys Engineer, you need strong expertise in job scheduling, automation, and scripting, often supported by a degree in computer science or a related field. Proficiency with Autosys job scheduler, Unix/Linux systems, shell scripting, and familiarity with monitoring and incident management tools is essential. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These skills are vital to ensure reliable job automation, minimize downtime, and facilitate efficient collaboration across IT operations.
More about Autosys Engineer jobs
What job categories do people searching Autosys Engineer jobs look for? The top searched job categories for Autosys Engineer jobs are:
Infographic showing various Autosys Engineer job openings in the United States as of May 2026, with employment types broken down into 25% Part Time, and 75% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

$109K - $131K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

The Enterprise Data Management Services team is looking for a strong, self-motivated Technology Developer to become an integral part of the Data Resiliency program.
Responsibilities include but are not limited to: Developing and enhancing application components for supporting ML/AI models and data ingestion processes, with focus on code resiliency and stability. Interacting & leading a team of developers, and interacting with business partners and develop processes to ensure that ML/AI models are production-ready Developing, enhancing, modifying and/or maintaining applications Working in a fast paced agile environment, under minimal supervision, with guidance from senior team members Participating in analysis on operational issues Participating in peer reviews for designs, code, and other work productsStrong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge
Overview:
Assess requirement and evaluate existing solutions
Build Process to interact with HDFS and Oracle using Python/ PySpark and Oracle PL/ SQL
Create Workflows, jobs and schedule them using Autosys
Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data as per acceptance criteria
Develops and executes test plans to produce quantitative results, identifies test issues and errors, and triages underlying causes
Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Ability to work independently with solid analytical skills
Ability to work with the team; excellent team player with great attitude
Data Resiliency Capabilities
Top 3 skills:
1. Oracle & PL/SQL Knowledge (Expert level)
2. Hadoop ecosystem, Hive Tables
3. Python/PySpark
Preferred Skills:
1. Autosys
2. Agile
Other Required Skills:Strong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge