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Data Automation Engineer Jobs in California (NOW HIRING)

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

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 ...

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 ...

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 ...

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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 Aug 25, 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.

What is a data automation engineer?

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 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 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 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 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 August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,723 per year, or $50.8 per hour.

Principal Data Automation Engineer/ Data Scientist, Supply Chain

Santa Clara, CA • On-site


Oracle
IT Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

56th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description


Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Principal Data Automation Engineer to help accelerate the digital transformation of OCI's global supply chain operations. Reporting to the Senior Director of Data Automation, Supply Chain, this role will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision-making across OCI's rapidly growing supply chain organization.
As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to develop intelligent automation, operational dashboards, machine learning models, and data products that enable proactive management of supply chain operations. This role requires deep technical expertise, strong business acumen, and the ability to influence cross-functional stakeholders through data-driven solutions.
Responsibilities
Data Automation & AI Solutions
  • Design, build, and maintain scalable data automation solutions supporting OCI's global supply chain.
  • Develop AI and machine learning models that improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance.
  • Identify opportunities to eliminate manual processes through automation, predictive analytics, and intelligent workflows.
  • Build reusable automation frameworks and data products that improve operational efficiency and business scalability.
  • Evaluate emerging AI and automation technologies and recommend practical applications across supply chain operations.

Data Engineering & Analytics
  • Design and develop robust data pipelines, models, and architectures that support real-time operational reporting and advanced analytics.
  • Build scalable datasets that enable forecasting, planning, inventory management, supplier performance, and deployment execution.
  • Ensure data quality, governance, reliability, and accessibility across multiple enterprise systems.
  • Develop dashboards, scorecards, and self-service analytics that improve operational visibility across global supply chain functions.
  • Collaborate with engineering teams to integrate data across Oracle Fusion Cloud Applications, operational systems, and cloud platforms.

Operational Intelligence
  • Develop operational dashboards, KPI frameworks, and control tower capabilities that provide end-to-end visibility into supply chain performance.
  • Create intelligent alerting mechanisms that proactively identify operational risks, exceptions, and bottlenecks.
  • Build predictive models supporting scenario planning, capacity management, supplier performance, and deployment readiness.
  • Translate complex operational data into actionable insights that support day-to-day execution and long-term planning.

Cross-Functional Collaboration
  • Partner with Supply Planning, Procurement, Manufacturing, Logistics, Capacity Management, and Data Center Operations teams to understand business challenges and develop scalable technical solutions.
  • Collaborate with product managers, engineers, and business stakeholders to define analytics requirements and deliver impactful data solutions.
  • Provide technical guidance and subject matter expertise for automation initiatives and enterprise data projects.
  • Influence best practices for data engineering, analytics, and automation across the organization.

Continuous Improvement
  • Drive improvements in data quality, automation, reporting accuracy, and operational efficiency.
  • Identify opportunities to simplify processes, reduce technical debt, and improve maintainability of data platforms.
  • Document technical designs, data models, and automation solutions to support long-term scalability and operational excellence.
  • Stay current on emerging technologies in AI, machine learning, cloud computing, and data engineering.

Required Qualifications
Experience
  • 7-10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
  • Experience designing and developing scalable data pipelines, analytics platforms, and automation solutions.
  • Proven experience delivering data products and dashboards supporting cross-functional business operations.
  • Experience applying predictive analytics or machine learning to solve operational or supply chain challenges.
  • Demonstrated ability to independently lead complex technical initiatives from concept through implementation.
  • Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.

Technical Skills
  • Strong proficiency in SQL and Python for data engineering, automation, and analytics.
  • Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
  • Knowledge of AI/ML techniques, predictive analytics, and automation frameworks.
  • Experience with business intelligence and visualization tools such as Oracle Analytics Cloud, Tableau, or Power BI.
  • Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
  • Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
  • Experience working with cloud technologies and distributed systems architectures is a plus.

Professional Skills
  • Strong analytical and problem-solving abilities with attention to detail.
  • Excellent communication skills with the ability to explain technical concepts to both technical and business audiences.
  • Ability to manage multiple priorities in a fast-paced, rapidly evolving environment.
  • Demonstrated ability to influence stakeholders and drive technical solutions without direct managerial authority.
  • Self-motivated with a passion for automation, continuous improvement, and innovation.

Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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About Oracle

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An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Redwood City, CA, US

Year founded

1977

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Pay

Benefits

Hours and flexibility

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