1

Data Automation Engineer Jobs in California (NOW HIRING)

Position: Senior Data Automation Specialist (San Jose, CA) A Data Automation Specialist designs ... Hours you will be work as a AI Automation & Tools Engineer: First shift (8am-5pm), Monday through ...

Data Automation Specialist Harper is an AI-native commercial insurance company in San Francisco. We ... You're not a data engineer building pipelines from scratch, and you're not a data analyst running ...

Automation Engineer

San Francisco, CA · On-site

$165K - $185K/yr

Data from external measurement devices such as sensors, scales, or other instrumentation * Ensure ... CD, or automation engineering roles * Proficiency in automation scripting (Python or similar)

Purpose The Automation Engineer supports the daily operations across all of our Robotic Work ... Help create and maintain customer product manufacturing data for automated work centers. * Help ...

Purpose The Automation Engineer supports the daily operations across all of our Robotic Work ... Provide insight, data, & learnings to our development team to help inform our next generation ...

Purpose The Automation Engineer supports the daily operations across all of our Robotic Work ... Provide insight, data, & learnings to our development team to help inform our next generation ...

Automation Engineer

San Francisco, CA · On-site

$165K - $260K/yr

About the role As an Automation Engineer, you will build automation pipelines to enable key ... Collaborate with data science/ML engineers to integrate metadata tracking, computational design ...

Automation Engineer Location: Irvina, CA - Hybrid Employment Type: Full-time The job The Automation ... Experience with SCADA communications and data integration including REST APIs, OPC UA ...

The role demands rigorous attention to signal integrity and measurement accuracy, strong software engineering skills, and the ability to collaborate closely with characterization and data automation ...

The role demands rigorous attention to signal integrity and measurement accuracy, strong software engineering skills, and the ability to collaborate closely with characterization and data automation ...

next page

Showing results 1-20

Data Automation Engineer information

See California salary details

$36.5K

$105.7K

$160.9K

How much do data automation engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data automation engineer in California is $105,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $121,900.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively. The role continues to evolve, emphasizing skills in cloud platforms, programming, and data architecture.

What are some typical challenges a Data Automation Engineer faces when integrating new automation tools into existing data pipelines?

Data Automation Engineers often encounter challenges related to compatibility and scalability when introducing new automation tools to established data pipelines. Legacy systems may have limitations that require creative solutions to ensure seamless integration without disrupting ongoing processes. Additionally, maintaining data quality and consistency during transitions is critical, as is collaborating with cross-functional teams—such as data analysts, IT, and software developers—to align on requirements and troubleshoot issues. Proactive communication and thorough documentation can help overcome these challenges and ensure successful automation implementation.

What are Data Automation Engineers?

Data Automation Engineers are professionals who design, develop, and maintain automated systems to collect, process, and analyze data. They use programming, scripting, and various data tools to streamline data workflows, reduce manual intervention, and improve efficiency. Their work often involves building data pipelines, integrating data from multiple sources, and ensuring data quality and reliability. By automating repetitive data tasks, they help organizations make faster, data-driven decisions. Data Automation Engineers typically collaborate with data analysts, data scientists, and IT teams to support business objectives.

What are the key skills and qualifications needed to thrive as a Data Automation Engineer, and why are they important?

To thrive as a Data Automation Engineer, you need strong skills in programming (such as Python or Java), data integration, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, automation frameworks (like Apache Airflow), and cloud platforms (such as AWS or Azure) is also essential, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are key soft skills for identifying automation opportunities and collaborating across teams. These skills are crucial for designing efficient, scalable solutions that streamline data workflows and support business intelligence needs.

What does a data automation engineer do?

A data automation engineer designs, develops, and maintains systems that automate data collection, processing, and analysis to improve efficiency and accuracy. They often work with tools like scripting languages, ETL platforms, and cloud services to streamline data workflows and support data-driven decision-making.

What is the difference between Data Automation Engineer vs Data Analyst?

AspectData Automation EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of scripting and automation toolsBachelor's in Statistics, Math, or related; proficiency in data visualization and analysis tools
Work EnvironmentFocus on developing automation pipelines, scripting, and optimizing data workflowsFocus on interpreting data, creating reports, and providing insights
Employer & Industry UsageTech companies, data-driven organizations, IT departmentsMarketing firms, finance, healthcare, research institutions

The main difference is that Data Automation Engineers focus on building and maintaining automated data processes, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but their core responsibilities differ significantly.

What engineers make $300,000 a year?

Senior data automation engineers, especially those with extensive experience, advanced skills in scripting, cloud platforms, and automation tools, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, or leadership positions in data engineering and automation fields.

What engineers make $500,000?

Senior data automation engineers with extensive experience, specialized skills in scripting, cloud platforms, and automation tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of delivering complex automation solutions.
What are popular job titles related to Data Automation Engineer jobs in California? For Data Automation Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Automation Engineer jobs in California look for? The top searched job categories for Data Automation Engineer jobs in California are:
What cities in California are hiring for Data Automation Engineer jobs? Cities in California with the most Data Automation Engineer job openings:
Infographic showing various Data Automation Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $105,723 per year, or $50.8 per hour.
Senior Data & Automation Engineer (IT Ops)

Senior Data & Automation Engineer (IT Ops)

Pacific Life

Newport Beach, CA • On-site

$111K - $146K/yr

Full-time

Posted 24 days ago


Pacific Life rating

6.8

Company rating: 6.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

245th of 281 rated insurance


Job description

Job Summary:
Pacific Life is a company dedicated to providing for its policyholders and transforming the industry for the better. They are seeking a Senior Data & Automation Engineer (IT Ops) to build and operate automation, data, and AI-enabled solutions that enhance IT operations and the end-user experience.
Responsibilities:
• Automate IT Operations Workflows – Identify and implement automations that reduce manual effort and improve consistency across IT operations, including service request fulfillment, incident workflows, and operational processes supporting end users and infrastructure teams.
• Operational Data Engineering & Insight – Build and optimize data pipelines and analytical datasets from operational systems (e.g., service/ticketing platforms, endpoint/telemetry sources, knowledge bases), applying data quality checks and cost/performance optimization.
• AI‑Augmented Automation & Decision Support – Apply AI/ML concepts to enhance operational workflows and analytics (e.g., enrichment, classification, search, summarization, recommendations), incorporating evaluation practices and human‑in‑the‑loop feedback where appropriate.
• Manage Application Environments – Establish and maintain both non‑production and production environments, ensuring alignment with identity and access controls, data governance policies, and secure data‑handling standards.
• Deliver Reliable, Scalable Solutions – Design, build, and operate production‑grade applications and automation services with a strong focus on reliability, scalability, performance, and observability.
• Drive Continuous Improvement – Champion enhancements based on user feedback, operational metrics, and measurable outcomes; prioritize initiatives that improve productivity, reduce friction, and elevate end‑user experience.
• Collaborate Across Teams – Partner with cross‑functional stakeholders to translate objectives into technical roadmaps, clear requirements, and acceptance criteria. Maintain a transparent, outcome‑driven backlog.
• Ensure Compliance and Security – Uphold security, privacy, and regulatory standards by implementing guardrails, conducting reviews, and recommending updates over time.
• Document and Share Knowledge – Create and maintain documentation, runbooks, patterns, and reference architectures. Mentor team members and foster a culture of knowledge sharing.
Qualifications:
Required:
• 5+ years of experience in IT development, automation engineering, data engineering/analytics engineering, application architecture, and/or applied AI/ML engineering.
• Bachelor’s degree in Computer Science, Information Systems, or equivalent professional experience.
• Hands‑on expertise with Python and SQL; working knowledge of AI/ML tools and MLOps practices.
• Proven track record of delivering applications and/or AI‑driven automations to production, including CI/CD, testing, observability, and reliability best practices.
• Advanced Data Analysis & Insight Extraction – Demonstrated ability to deeply analyze complex datasets, identify patterns and trends, and translate findings into clear, actionable insights that inform automation, optimization, and technical decision making.
• Strong problem‑solving and communication skills, with the ability to collaborate across teams and mentor peers effectively.
Preferred:
• Automation focused – You reduce manual effort in IT operations through measurable workflow automation outcomes.
• Strategic and outcome‑oriented – You help shape technical direction and long‑term platform planning for IT and AI with a focus on delivering results.
• Proven AI leadership – Demonstrated success advancing AI technologies and driving measurable business impact.
• Collaborative and innovative – Passion for cross‑functional teamwork and fostering a culture of innovation and continuous learning.
• Committed to staying ahead – Dedicated to keeping pace with modern practices in data, application development, and AI/ML.
Company:
Pacific Life Insurance is an insurance company that provides life insurance products, annuities, and mutual funds. Founded in 1868, the company is headquartered in Newport Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Pacific Life employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Pacific Life logo

About Pacific Life

Sourced by ZipRecruiter

When you purchase life insurance and retirement solutions, you're buying a promise. A promise that today, tomorrow or ten years from now, we'll be there. For more than 150 years, our clients have trusted Pacific Life to protect what matters most to them - their families, their businesses, their futures.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Newport Beach, CA, US

Year founded

1868

Social media