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Data Ops Engineer Jobs in California (NOW HIRING)

Circadia Health

Senior ML Ops Engineer

El Segundo, CA

$150K - $240K/yr

Model serving frameworks or data versioning tools * Healthcare, medical devices, or clinical data ... Ops Engineer, you will be employed by Circadia Health, Inc. The anticipated annual base salary ...

Apple

Senior ML Data Engineer, MLO

Cupertino, CA · On-site

$68.75 - $91/hr

We're looking for an exceptional software & data engineer who is passionate about Apple products ... ops team typically focused on short term deliveries

Circadia Health

Senior ML Ops Engineer

El Segundo, CA · On-site

$150K - $240K/yr

Model serving frameworks or data versioning tools * Healthcare, medical devices, or clinical data ... Ops Engineer, you will be employed by Circadia Health, Inc. The anticipated annual base salary ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

You will ensure engineering teams get the right data they need-high-quality tasks and evaluations ... Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute ...

Apple

ML Data QA Lead, MLO

Cupertino, CA · On-site

We are the Machine Learning Data Ops Team, part of the Intelligent System Experience (ISE) group within Apple's software engineering organization. We build high-quality ML datasets at scale to train ...

CoStar

Matterport - Senior ML Ops Engineer

Sunnyvale, CA

$122K - $168K/yr

Matterport - Senior ML Ops Engineer CoStar Group is a leading global provider of commercial and ... Our groundbreaking spatial computing platform turns buildings into data making every space more ...

Tapcart Inc

AI Ops Engineer - GTM

Santa Monica, CA · On-site

$90K - $140K/yr

We're looking for an AI Ops Engineer to partner with the Founder/CEO and VP Operations to build out ... Wire agents into the tools GTM already lives in - connecting APIs, data sources, and third-party ...

Pantera Capital

Human Data Engineer

Palo Alto, CA · On-site

$144 - $270/hr

Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute ... Bachelor's degree in engineering, computer science, or a related STEM discipline, or 4+ years of ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute ... Bachelor's degree in engineering, computer science, or a related STEM discipline, or 4+ years of ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute ... Bachelor's degree in engineering, computer science, or a related STEM discipline, or 4+ years of ...

Sage IT Inc

SRE with MLops Platform

Sunnyvale, CA · On-site

$67 - $89/hr

Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ... Ability to understand tools used by data scientists and experience with software development and ...

Deep Synoptic

Dev Ops Engineer

Pasadena, CA · On-site

$109 - $135/hr

Solid working knowledge of networking fundamentals (routers, switches) for control and data traffic ... with a lead DevOps Engineer. Preferred Qualifications * Experience with clustering or job ...

Apple Inc.

ML Data QA Lead, MLO

Cupertino, CA · On-site

$121 - $249/hr

We are the Machine Learning Data Ops Team, part of the Intelligent System Experience (ISE) group within Apple's software engineering organization. We build high-quality ML datasets at scale to train ...

SpaceXAI

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing. * Collaborate with Human Data Ops and stakeholders to scale projects ...

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Showing results 41-60

All JobsData Ops Engineer JobsData Ops Engineer Jobs in California

Data Ops Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data ops engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data ops engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Data Ops Engineer?

Data Ops Engineers are professionals who bridge the gap between data engineering and operations. They focus on automating, monitoring, and optimizing data pipelines to ensure reliable, efficient, and secure data flow within organizations. Their responsibilities often include managing data integration, workflow orchestration, deployment of data infrastructure, and implementing best practices for data quality and governance. Data Ops Engineers work closely with data scientists, analysts, and IT teams to support data-driven decision-making and maintain high data availability. Their role is crucial in modern organizations that rely on large-scale data processing and analytics.

How does a Data Ops Engineer typically collaborate with data scientists and software engineers within an organization?

Data Ops Engineers play a crucial role in bridging the gap between data science and engineering teams. They ensure smooth data pipeline operations, help automate workflows, and support data scientists by providing reliable, scalable infrastructure. Collaboration often involves participating in cross-functional meetings to understand data requirements, troubleshooting data quality issues, and implementing solutions that enable efficient experimentation and model deployment. This collaborative environment helps facilitate quick iterations and reliable delivery of data products.

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

To thrive as a Data Ops Engineer, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or related field. Experience with tools like Apache Airflow, Docker, Kubernetes, CI/CD pipelines, and proficiency in scripting languages such as Python or Bash is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with data teams and troubleshoot complex data workflows. These skills ensure reliable data delivery, streamlined operations, and scalable solutions that support organizational data goals.

What is the difference between Data Ops Engineer vs Data Engineer?

AspectData Ops EngineerData Engineer
CredentialsCertifications in data management, cloud platforms, scriptingCertifications in data engineering, SQL, cloud services
Work EnvironmentFocus on data pipelines, automation, deployment, and monitoringFocus on data modeling, ETL processes, database design
Industry UsageUsed in organizations emphasizing data operations, automation, and DevOps practicesUsed in data-centric roles focusing on building data infrastructure

While both roles work with data infrastructure, Data Ops Engineers primarily focus on automating and managing data pipelines and deployment processes, whereas Data Engineers concentrate on designing and building data systems. The roles often overlap but differ in their core focus areas and responsibilities.

Is data operations a good career?

Data Operations, often involving roles like Data Ops Engineer, is a growing field focused on managing data pipelines, automation, and infrastructure. It offers strong job demand, competitive salaries, and opportunities to work with tools like cloud platforms and data management systems, making it a viable career choice for those interested in data and technology.

What are popular job titles related to Data Ops Engineer jobs in California?

For Data Ops Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Ops Engineer jobs in California look for?

The top searched job categories for Data Ops Engineer jobs in California are:

What cities in California are hiring for Data Ops Engineer jobs?

Cities in California with the most Data Ops Engineer job openings:

Data Ops Engineer jobs near you
Infographic showing various Data Ops Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Middleware Ops / J2EE Engineer

Stem Xpert

Los Angeles, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Company Description

  TekWissen provides a unique portfolio of innovative capabilities that seamlessly combines clients insights, strategy, design, software engineering and systems integration. Our tightly integrated offerings are tailored to each clients requirements and span the services spectrum from Application Development/Maintenance, testing, IT Consulting & staffing for IT Infrastructure Management through strategic consulting and industry oriented Business Process. Our end-to-end Business Process as a Service (BPaaS) solutions support complex, high-value, knowledge based work. Combining applications, platforms, infrastructure, knowledge processes, and domain expertise allows us to deliver greater efficiencies and innovative business capabilities.

Job Description

Must have Sr. Java Developer and a Middleware Ops Engineer experience. They will help with migrating & troubleshooting their Datacenter Middleware and upgrade and port their Java Messaging and web services to mobile/web applications.

Required:

The Engineer is responsible for supporting Merlin.net middleware and related applications. He will need to have hands on production support experience on JBOSS (or similar J2EE application servers), MQTT/WebSphere MQ, LifeRay Portal (or similar Web Portal technology), and WSO2 API Gateway (or equivalent). He or She also needs to have scripting ability to automate installation, configuration and deployment of Linux/Java platform (Java, shell, python or Ruby scripting experience). Good understanding of database technology (Oracle, SQLServer, MySQL or Postgress). Strong documentation and testing skills. He or She will focus on Network Refresh (Q4 2016) and Data Center Relocation projects (Q1-Q3 2017)


Qualifications

B.S. in Computer Science, Engineering, Information Technology or equivalent experience.

3+ years or J2EE production support.

2+ years of MQ production support,

2+ years of Web Portal (LifeRay or others).

2+ years of API/mobile technology support.

3+ years of Linux/UNIX experience.

Programming experience desired (C/C++, Java, Linux scripting languages. )

Additional Information

If you are available, interested, planning to make a change, or know of a friend who might have the required qualifications and interest, please call me ASAP at 734-619-8931

Thanks & Regards,

Aravind Jakku

734-619-8931

aravind.j@tekwissen .com




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About stem xpert

Sourced by ZipRecruiter

STEM Xpert, based in Ann Arbor, MI, US, is a leading company in the Science, Technology, Engineering, and Mathematics (STEM) education industry. Since their establishment, they have made an indelible mark by providing innovative services and products designed to enhance STEM learning. Their service portfolio includes comprehensive educational programs, customized learning modules and interactive STEM kits. Driven by a passion for nurturing young minds, the company's mission is to bring about an educational renaissance in the STEM field, making learning not just theoretical but practical and fun. One notable achievement for STEM Xpert has been its success in reaching a broad spectrum of learners, from school-age to adults, contributing significantly towards empowering the community's technological and scientific literacy.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2012

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