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Automic Jobs (NOW HIRING)

Argyle Infotech

Data Engineer

Passaic, NJ · Hybrid

$118.60K - $142.40K/yr

... Automic. - Expertise in managing the full software development lifecycle for Snowflake solutions, including planning, development, testing, CI/CD, performance engineering, and quality assurance ...

Keylent Inc

Business Analyst

Henrico, VA

$55/hr

... Automic Workload Automation, Redwood. Setup application and infrastructure monitoring Perform database tuning and provide performance reports. Perform rehydrations & be actively involved in ...

Broadcom

Workload Automation Product Manager

Plano, TX · On-site

... Automic - a plus. • Regular meetings with customers and presentations at customer conferences, including SHARE and MTE • Lead the cross-functional product team in support of the overall Product ...

M&T Bank

Software Engineer II

Wilmington, DE

$153.36K - $161.83K/yr

Using a Scheduling tool including Apache Airflow or Automic to schedule jobs and workflows and monitor the daily runs of jobs and workflows; and, * Using SQL to query data from SQL Server. Salary ...

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$121.1K

$170.5K

How much do automic jobs pay per year?

As of Jun 1, 2026, the average yearly pay for automic in the United States is $121,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What is an Automic job?

An Automic job is a task or process automated using Broadcom's Automic Automation platform. It can include executing scripts, running applications, or managing workflows across systems. Automic jobs help streamline IT operations, improve efficiency, and ensure reliable task execution. They are typically scheduled, triggered by events, or executed as part of a larger workflow.

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

To excel in an Automic role, you need expertise in workload automation, scripting, and IT process management, often backed by experience with enterprise automation software like Automic Automation (formerly CA Automic). Familiarity with scheduling tools, workflow orchestration systems, and potential certifications such as Automic Certified Professional are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills are crucial for coordinating complex automation solutions across teams. These skills are vital to ensure seamless automation of business processes, minimize errors, and optimize IT operational efficiency.

What are some common challenges faced by professionals working with Automic automation tools?

Professionals working with Automic automation solutions often encounter challenges such as integrating diverse legacy systems, designing scalable workflows, and troubleshooting automation failures. The role frequently requires adapting to changing business requirements while maintaining system reliability and uptime. Collaborating with development, operations, and support teams is essential to ensure smooth deployments and proactive issue resolution. Many organizations provide ongoing training and encourage certification to help team members stay current with evolving toolsets and best practices.
More about Automic jobs
What are the most commonly searched types of Automic jobs? The most popular types of Automic jobs are:
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What job categories do people searching Automic jobs look for? The top searched job categories for Automic jobs are:
Automic jobs near you
Infographic showing various Automic job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 85% In-person, 9% Hybrid, and 6% Remote job distribution, with an average salary of $121,116 per year, or $58.2 per hour.

Data Engineer (Spark, Airflow, GCP)

Kaav Inc.

Bentonville, AR

$97.50K - $117K/yr

Other

Posted 5 days ago

Job description

Designing and Building ETL pipeline using Sqoop, Hive, Map Reduce and Spark on on-prem and cloud environments.
Functional Programming using Python and Scala for complex data transformations and in-memory computations.
Using Erwin for Logical/Physical data modeling and Dimensional Data Modeling.
Designing and developing UNIX/Linux scripts for handing complex File formats and structures
Orchestration of workflows and jobs using Airflow and Automic,
Creating Multiple Kafka producers and consumers for data transferring
Performing Continous Integration and deployment (CI/CD) using tools like GIT, Jenkin to run test cases and build applications with code coverage using Scala test
Analyzing data using SQL, Big Query monitoring the cluster performance, setting up alerts, documenting the designs, workflow.
Providing production support, troubleshooting and fixing the issues by tracking the status of Running applications to perform System Administrator tasks.
Required Skills : Data Analysis
Basic Qualification :
Additional Skills : Data Engineer
Background Check : No
Drug Screen : No

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