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Data Operations Jobs in California (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Specter is hiring a data operations engineer to build our research data operation. This individual will own the full pipeline from defining what data we need, to getting it labeled at high quality ...

Pathstone

Associate, Data Operations

San Francisco, CA · On-site

The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and plays an important role in ensuring the accuracy, integrity, and timeliness of firmwide data used ...

Pathstone

Associate, Data Operations

San Francisco, CA · On-site

The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and plays an important role in ensuring the accuracy, integrity, and timeliness of firmwide data used ...

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality. Responsibilities : • ...

Hive

Data Operations Analyst

San Francisco, CA

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

They are seeking a Data Operations Engineer to own and operate the internal dataset library, ensuring fast, accurate, and scalable access to data while coordinating with engineering, product, and ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will own and operate the internal dataset library, ensuring fast and scalable access to data while maintaining dataset quality and organization across the company.

David AI

General Manager, Data Operations

San Francisco, CA · On-site

$175K - $240K/yr

About our Data Operations team Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new ...

HappyRobot

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

The Data Operations Engineer will serve as the operational backbone of the product organization, working closely with the CTO and Head of Product to ensure synchronization between Product Engineering ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

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All JobsData Operations JobsData Operations Jobs in California

Data Operations information

See California salary details

$51.3K

$126.8K

$197.4K

How much do data operations jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data operations in California is $126,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $161,400.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in California? The most popular types of Data Operations jobs in California are:
What are popular job titles related to Data Operations jobs in California? For Data Operations jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in California look for? The top searched job categories for Data Operations jobs in California are:
What cities in California are hiring for Data Operations jobs? Cities in California with the most Data Operations job openings:
Data Operations jobs near you

Data Operations

Kinetic Systems and Technologies, Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Kinetic Systems works at the intersection of computer-use agents, human data, and healthcare. Our mission is to advance the capabilities of frontier AI models on economically meaningful healthcare tasks by building novel datasets, environments, and models. We were founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.
The Role
As an Data Operations Lead, you will interface with AI and healthcare customers, scope requirements, and help construct high quality datasets, environments, and evaluations for AI models.
What You'll Do
  • Lead strategies for generating / acquiring novel datasets and partnerships
  • Manage expert contributors
  • Collaborate with researchers and engineers to align data with overall research agendas
  • Develop and implement processes for curating and QC'ing data pipelines at scale

Who You Are
  • Previous work experience building expert networks or delivering human data projects
  • Are scrappy, hands-on, and willing to do whatever it takes to deliver
  • Understand how to improve, incentivize, and maintain contributor networks
  • Have had at least one job in healthcare and moderate domain knowledge
  • Are comfortable working long hours in a high-intensity, early-stage environment
  • Are excited to be on-site in SF and collaborate closely with a small team

Why Us
If you join our team, you will be joining a team with...
  • Founding-level impact and ownership
  • Leading AI research + healthcare expertise
  • Competitive compensation and meaningful equity
  • An opportunity to advance AI research in one of its most meaningful application areas

You'll also receive...
  • Unlimited PTO
  • Comprehensive health, dental, and vision coverage
  • 401(k)
  • Free lunch + dinner

Apply