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Data Ops Engineer Jobs in California (NOW HIRING)

Ensure Data Integrity - Maintain high data quality across systems, resolving inconsistencies and ... Cross-Functionally - Work closely with Sales, Marketing, Customer Success, and Engineering to ...

Senior Software Engineer, MLOps

Palo Alto, CA ยท On-site

$162K - $203K/yr

Role Summary The Autonomy org at Rivian is seeking a Staff Software Engineer, Data Ops to join the Data team who can provide expertise in cloud and data engineering and collaborate with technical and ...

As a Senior AI Operations (AI Ops) Engineer , you are the architect of the platform that makes this ... Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation ...

Senior ML Data Engineer, MLO

Cupertino, CA ยท 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

Senior Software Engineer, MLOps

Palo Alto, CA ยท On-site

$162K - $203K/yr

Role Summary The Autonomy org at Rivian is seeking a Staff Software Engineer, Data Ops to join the Data team who can provide expertise in cloud and data engineering and collaborate with technical and ...

At the center of this mission, the Common Mission Control Center (CMCC) unifies data, sensors ... SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ...

... Developers to understand what decision each eval is meant to inform, improve the quality and integrity of the data we collect, and make sure the physical environments and props we need are sourced ...

You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods. The ideal candidate for this role is an ...

Matterport - Senior ML Ops Engineer

Sunnyvale, CA ยท On-site

$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 ...

Matterport - Senior ML Ops Engineer

Sunnyvale, CA ยท On-site

$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 ...

ML Ops Engineer

San Francisco, CA ยท On-site

$174K - $226K/yr

About the Role As a MLOps Engineer within the Perception Deep Learning team, you will lead the ... You will play a key role in shaping the architecture of our ML infrastructure, from data ingestion ...

SRE with MLops Platform

Sunnyvale, CA ยท 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 ...

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

Job Summary: We're looking for a Sr. Data Engineer with strong data platform experience to help ... Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD. * Knowledge ...

MLOps Engineer At Hayden AI, we are on a mission to harness the power of computer vision to ... You will play a key role in shaping the architecture of our ML infrastructure, from data ingestion ...

Strategy & Ops Engineer

San Francisco, CA ยท On-site

$140K - $180K/yr

Ensure data accuracy, reliability, and observability across operational systems * Execute ambiguous, high-impact operational projects with minimal guidance Must Have * Strong software engineering ...

$124K - $169K/yr

Role: Data Engineer Experience: 3-7Years of experience Location: Hyderabad Summary The Data ... with Data Ops. * Design, implement, andmaintaindashboards, metrics, and alerts that proactively ...

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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 Jun 12, 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 engineers make $300,000 a year?

Senior Data Ops Engineers with extensive experience, advanced skills in cloud platforms, automation, and data pipeline management can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

Is DataOps a good career?

DataOps engineers focus on streamlining data workflows, automation, and integration using tools like SQL, Python, and cloud platforms. The role is in demand due to the growth of data-driven decision-making and offers opportunities for advancement in analytics, data engineering, and DevOps environments.

What are Data Ops Engineers?

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 does a DataOps engineer do?

A DataOps engineer is responsible for managing and automating data pipelines, ensuring data quality, and optimizing data workflows for faster and reliable data delivery. They often use tools like Apache Airflow, Jenkins, or Kubernetes and collaborate with data engineers and analysts to improve data processes and infrastructure.

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 engineers make $500,000?

Senior data engineers, especially those with expertise in cloud platforms, big data tools, and advanced analytics, can earn $500,000 or more annually in high-demand industries. Achieving this level typically requires extensive experience, specialized skills, and often leadership responsibilities or equity compensation.
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:

Ops Engineer

Clerk AI

San Francisco, CA โ€ข Hybrid

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

About Clerk Chat:

Clerk Chat's mission is to make every business conversational. We are achieving this by building the leading messaging application, integrating AI where it matters, and crafting our own telecom infrastructure. It's big and bold and needs spirited adventurers to join our growing team.ย 

We've built Clerk Chat organically into a profitable business over the last 2 years. We're a team that believes in achieving your highest potential but not at the expense of work-life balance. That's why we have flexible vacation time, healthy quarterly bonuses, and creative freedom at the forefront. We're Silicon Valley-based entrepreneurs who have sold companies, gone through HF0, and built teams at Lucasfilm, Samsung, Netflix, DocuSign, and Series B+ Startups.

What does a work environment look like at Clerk Chat?

Clerk Chat is an in-office team based just three blocks south of the Embarcadero BART station, making it easy to commute and stay connected. We love being in the office five days a week because it fosters real-time collaboration, builds stronger relationships, and helps us move faster.
This is an exciting time to join Clerk Chat. We're small enough that every individual has a big impact, but we're growing fast enough that there's tremendous room for career advancement.ย 

Who you are:

You're a technically minded operator who thrives at the intersection of sales, systems, and automation. You enjoy turning messy, manual sales processes into scalable, reliable workflows. You're comfortable working across teams, diving into CRM configurations, building integrations, and using data to drive clarity and efficiency.ย You understand that a great sales organization runs on clean data, smart automation, and tools that help reps sell - not slow them down. You're excited by the challenge of building the infrastructure that powers a fast-growing revenue engine.

What You Will Do:

  • Build Automation - Design and implement automation for lead routing, qualification, follow-ups, forecasting, and reporting to eliminate manual work

  • Integrate Platforms - Connect CRM, marketing, product, billing, and support systems using APIs, webhooks, and middleware

  • Ensure Data Integrity - Maintain high data quality across systems, resolving inconsistencies and improving reliability for reporting and forecasting

  • Enable the Sales Team - Translate sales processes into technical solutions that help reps move faster and close more deals

  • Drive Insights - Build dashboards and reports that give leadership clear visibility into pipeline health, performance, and growth trends

  • Cross-Functionally - Work closely with Sales, Marketing, Customer Success, and Engineering to continuously improve revenue operations

What You Will Need:

  • Sales Operations or RevOps Experience - 3+ years working with sales systems, CRM platforms, or revenue operations

  • CRM Expertise - Hands-on experience with Salesforce (preferred) or similar platforms, including workflows and reporting

  • Automation & Integration Skills - Experience building automations and connecting systems using APIs, webhooks, or no/low-code tools (Make, n8n...)

  • Analytical Mindset - Strong ability to work with data, build dashboards, and derive actionable insights

  • Systems Thinking - Ability to design scalable, maintainable solutions while debugging complex operational issues

  • Strong Communication - Ability to translate business needs into technical solutions and collaborate across teams

Nice to have:

  • Prompt engineering skills.
  • Exposure to early-stage startups or high-growth companies, with a passion for driving results in these environments.

Clerk Chat provides several benefits to help you bring your best self to work:

  • Competitive compensation and equity packages
  • Health, dental, and vision insurance
  • Flexible vacation time (Unlimited PTO)
  • 401k with 4% match


We encourage all qualified candidates to apply! Our recruiting team will carefully review each resume, and we look forward to considering you for this opportunity.