1

Automic Jobs in California (NOW HIRING)

Development experience with Java, Scala, Flume, Python Cassandra Automic scheduler R/R studio, SAS experience a plus Presto Hbase Tableau or similar reporting/dash boarding tool Modeling and Data ...

Senior Data Engineer (Java/Spark)

Sunnyvale, CA · On-site

$65.50 - $86.50/hr

You have experience with data integration tools like Automic, or Airflow * You are experienced in public cloud computing platforms (e.g., GCP) * You are experienced in Gen AI Ecosystem in Agentic ...

Development experience with Java, Scala, Flume, Python Cassandra Automic scheduler R/R studio, SAS experience a plus Presto Hbase Tableau or similar reporting/dash boarding tool Modeling and Data ...

... Puppet, Automic ARA Release automation - xlRelease, uRelease, CA Release Automation, MS Release Manager Automated Testing - HP QTP, Selenium, JMeter, SOAPUI Operating System - Unix OS, Linux OS ...

DevOps Engineer

El Segundo, CA

$56.25 - $77/hr

Continuous Deployment - Chef, Puppet, uDeploy, Liquibase, CA Release Automation, Automic ARA * Team Collaboration - Confluence * Scripting - Shell scripting, Power Shell, Perl, PHP, Ruby, Python

Senior Data Engineer

Los Angeles, CA · On-site

$160K - $220K/yr

Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines * Ability to deliver high standards of code quality, system reliability, and performance

Automic information

See California salary details

$74K

$119.5K

$168.3K

How much do automic jobs pay per year?

As of Aug 8, 2026, the average yearly pay for automic in California is $119,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $132,700.00 per year, depending on experience, location, and employer.

What is an Automic?

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 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.

What are the key skills and qualifications needed to thrive in the Automic position?

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 the most commonly searched types of Automic jobs in California? The most popular types of Automic jobs in California are:
What are popular job titles related to Automic jobs in California? For Automic jobs in California, the most frequently searched job titles are:
What job categories do people searching Automic jobs in California look for? The top searched job categories for Automic jobs in California are:
Infographic showing various Automic job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $119,530 per year, or $57.5 per hour.

$65.50 - $86.50/hr

Full-time

Re-posted 19 days ago


Job description

Big Data Engineer:
Must Have:
• Proficiency in managing and manipulating huge datasets in the order of terabytes (TB) is essential
• Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.
• Expertise in building idempotent workflows using orchestrators like Automic, Airflow, Luigi etc.
• Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL
• Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets
• Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work
• Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process
• Ability to move at rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative
• Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project
Nice to have:
• Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
• Good understanding of REST APIs - working knowledge on Apache Druid, Redis, Elastic search, GraphQL or similar technologies. Understanding of API contracts, building telemetry, stress testing etc.
• Exposure in developing reports/dashboards using Looker/Tableau
• Experience in eCommerce domain.
Tech stack: Google cloud, HDFS, SPARK, Scala, Python (optional), Automic/Airflow, BigQuery, Kafka, API, Druid