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Data Ops Engineer Jobs in California (NOW HIRING)

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 - $220K/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 ...

New

SpaceXAI

Human Data - Engineer

Palo Alto, CA

$144K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

CoStar Group

Matterport - Senior ML Ops Engineer

Sunnyvale, CA

$122K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

CoStar

Matterport - Senior ML Ops Engineer

Sunnyvale, CA

$122K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

SpaceXAI

Human Data Manager

Palo Alto, CA

$100K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 Aug 14, 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.

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.

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 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, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior ML Data Engineer, MLO

Apple

Cupertino, CA • On-site

$68.75 - $91/hr

Full-time

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app.
We're looking for an exceptional software & data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines.
We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple!
Description
Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&D teams in Apple's SWE organization.
Minimum Qualifications
7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred)
Bachelor's degree in Computer Science or related field
Preferred Qualifications
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.)
Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment
Demonstrated prior experience in delivering large scale multimodal datasets for foundation models
Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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