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Dataops Jobs in California (NOW HIRING)

Astronomer

Enterprise Account Executive

San Francisco, CA · On-site

$260K - $300K/yr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow ...

Stealth Social Media Startup

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Azure experience strongly preferred • Strong communication skills -- you work cross-functionally and can explain complex systems clearly Preferred : • DataOps experience -- ability to own data ...

Kai Cyber, Inc.

DevOps Engineer - Data Ops

San Jose, CA · On-site

$61.75 - $84.75/hr

In a world where digital experiences shape trust and adoption, DataOps increases development productivity which directly drives product success and customer confidence. What You'll Do * Design ...

Kai

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Azure experience strongly preferred • Strong communication skills -- you work cross-functionally and can explain complex systems clearly Preferred : • DataOps experience -- ability to own data ...

Kai Cyber, Inc.

DevOps Engineer - Networking

San Jose, CA · On-site

$61.75 - $84.75/hr

In a world where digital experiences shape trust and adoption, DataOps increases development productivity which directly drives product success and customer confidence. What You'll Do * Design ...

Judge Group, Inc.

Data Engineer III

Newport Beach, CA

$65 - $79/hr

Experience leading DataOps/DevOps functions including release, deployment, operations, and monitoring of data products. * 1+ years of experience with Snowflake, dbt, and Matillion. * Experience ...

Astronomer

Sales Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow ...

NextData

Senior Sales Engineer

San Francisco, CA · On-site

Experience with AI/ML platforms , MLOps, DataOps or developer platforms * Cloud and data engineering certifications * Public speaking or thought leadership experience in data infrastructure or ...

Acceldata

Product Support Engineer - Hadoop

Campbell, CA · On-site

$80K - $100K/yr

... DataOps. Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey ...

Zoox

Data Engineer

Foster City, CA · On-site

$180K - $230K/yr

A strong DataOps mindset and opinions on next-generation warehousing tools $180,000 - $230,000 a year Base Salary Range There are three major components to compensation for this position: salary ...

Hitachi

Director, Solutions Marketing

Santa Clara, CA · On-site +1

Expertise in software and data, including structured and unstructured data, DataOps, ETL, and data analysis/reporting. * Familiarity with storage technologies and cybersecurity is a plus. * Skills

Crunchyroll, LLC

Senior Database Engineer

Los Angeles, CA · Hybrid

$114K - $155K/yr

At least basic knowledge and some hands-on implementation of CI/CD pipelines and DataOps practices. * You have experience with data governance, compliance, and lifecycle management. * You have strong ...

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How much do dataops jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for dataops in California is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.70 per hour, depending on experience, location, and employer.

What are DataOps?

DataOps, short for Data Operations, is a set of practices, processes, and technologies that combine data engineering, data integration, and DevOps methodologies to improve the quality and speed of data analytics. DataOps aims to streamline the flow of data from source to value, enabling organizations to deliver reliable, high-quality data to stakeholders more efficiently. This approach emphasizes collaboration, automation, and monitoring throughout the data lifecycle to reduce errors and shorten development cycles. The ultimate goal of DataOps is to create an agile data pipeline that adapts quickly to changing business needs.

What is the difference between Dataops vs Data Engineer?

AspectDataopsData Engineer
Primary FocusAutomating data workflows, deployment, and operational efficiencyBuilding and maintaining data pipelines, storage, and infrastructure
Skills & CertificationsDevOps tools, scripting, cloud platforms, CI/CD practicesSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentCollaborates with DevOps, data teams, and operationsWorks closely with data scientists, analysts, and infrastructure teams
Industry UsageUsed in organizations focusing on data deployment and automationUsed in data infrastructure development and data pipeline creation

While both Dataops and Data Engineers work with data infrastructure, Dataops emphasizes automation, deployment, and operational efficiency, whereas Data Engineers focus on building and maintaining data pipelines and storage systems. Understanding these differences helps organizations assign the right roles for their data needs.

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

To thrive as a DataOps Engineer, you need expertise in data engineering, automation, cloud platforms, and a solid understanding of CI/CD pipelines, typically backed by a degree in computer science or related fields. Familiarity with tools like Apache Airflow, Kubernetes, Docker, Jenkins, and cloud services such as AWS, GCP, or Azure is commonly required, along with knowledge of scripting languages like Python or Bash. Strong collaboration, problem-solving, and communication skills help DataOps professionals work effectively across data, development, and operations teams. These abilities ensure reliable, scalable, and efficient data infrastructure, enabling organizations to quickly deliver high-quality data solutions.

How does a DataOps professional typically collaborate with data engineers, analysts, and other IT teams?

DataOps professionals play a key role in bridging the gap between data engineering, analytics, and IT by facilitating efficient, automated workflows and ensuring data quality across the pipeline. They often work closely with data engineers to streamline data integration and deployment processes, while collaborating with analysts to support timely access to reliable data. Regular communication and cross-functional teamwork are essential, as DataOps is responsible for implementing best practices that help different teams deliver insights faster and with fewer errors. This collaborative environment also encourages continuous feedback and process improvement.
What are popular job titles related to Dataops jobs in California? For Dataops jobs in California, the most frequently searched job titles are:
What job categories do people searching Dataops jobs in California look for? The top searched job categories for Dataops jobs in California are:
What cities in California are hiring for Dataops jobs? Cities in California with the most Dataops job openings:
Dataops jobs near you
Infographic showing various Dataops job openings in California as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $47,480 per year, or $22.8 per hour.
Enterprise Account Executive

Enterprise Account Executive

Astronomer

San Francisco, CA • On-site

$260K - $300K/yr

Full-time

Posted 23 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this Role:
We are looking for a motivated Enterprise Account Executive to join our growing sales team. This is a hunting role where you will open new doors, create opportunities, and lead the full sales cycle from prospecting to close. At the same time, you will be part of a collaborative culture where wins are celebrated together and teammates share knowledge and support. You will play a critical role in expanding our customer base and helping shape the future of data.
This role includes some travel to meet with customers and teammates.
What You Get to Do:
  • Drive growth together: Lead the full sales cycle from prospecting to close while partnering closely with clients and teammates.
  • Prospect strategically: Identify, qualify, and pursue opportunities through outbound and inbound channels.
  • Position solutions: Deliver compelling demonstrations and craft tailored proposals that align with customer goals.
  • Partner with teammates: Collaborate with marketing, sales engineering, and product to ensure a smooth handoff and long-term success.
  • Stay informed: Keep current on industry trends and competitive offerings to position Astro as the leading solution.

What You Bring to the Role:
  • 5+ years of sales experience, ideally in SaaS, data platforms, or cloud solutions.
  • 2+ years of field experience with in-person customer engagement.
  • A history of consistent success in meeting or exceeding new business quotas in high-growth environments.
  • Comfort with data orchestration, analytics, or related technologies is a plus.
  • Excellent communication skills with the ability to build trust and influence senior stakeholders.
  • A proactive mindset with perseverance and accountability.
  • Proficiency in CRM tools (Salesforce) and sales enablement platforms.

Bonus Points If You Have:
  • Experience selling to data teams, developers, or technical buyers.
  • Background in data orchestration or Airflow-related technologies.
  • Prior success in a startup or high-growth environment.

The estimated total compensation for this role ranges from $260,000 - $300,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Hybrid
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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