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Dataops Engineer Jobs in California (NOW HIRING)

DataOps Engineer Location: Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Minimum Years of Experience: 8+ years ...

New

DataOps Engineer Location: Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Minimum Years of Experience: 8+ years ...

New

DataOps Engineer

Santa Clara, CA · On-site +1

$120K - $150K/yr

We're looking to add a dynamic DataOps Engineer , reporting to our Manager of Data Operations. About our Stack: * Cloud Provider: AWS * Database: MySQL, PostgreSQL * Extract/Load: Fivetran

Data Engineer (DataOps)

Cupertino, CA · On-site

$141K - $169K/yr

Data Engineer -- DataOps Location: Cupertino, CA (Hybrid) Duration: Long-term Type: Contract - W2 Summary: We are seeking a capable, detail-minded Data Engineer with a DataOps focus to join our ...

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Lead Data Engineer

Alameda, CA · On-site

$155K - $175K/yr

Own source code management, documentation (technical and end-user), and release planning for data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable ...

IT Solutions Engineer IV

Oakland, CA · On-site

$166K - $235K/yr

Strong familiarity with DataOps/DevOps practices and their application to data platform management. Equal Opportunity Employer / Disabled / Protected Veterans The Know Your Rights poster is available ...

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

Own source code management, documentation (technical and end-user), and release planning for data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable ...

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

Own source code management, documentation (technical and end-user), and release planning for data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable ...

AI Engineer in ML Data

San Francisco, CA · On-site +1

$134K - $162K/yr

About the role Join our team as an AI Engineer and help us push the boundaries of what's possible ... Familiarity with Azure/AWS/GCP cloud products for MLOps and DataOps pipelines * Proficiency with ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Role: AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data ... Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on ...

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Showing results 1-20

Dataops Engineer information

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

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a Dataops Engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What is a DataOps Engineer job?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

What are the most commonly searched types of Dataops Engineer jobs in California? The most popular types of Dataops Engineer jobs in California are:
What job categories do people searching Dataops Engineer jobs in California look for? The top searched job categories for Dataops Engineer jobs in California are:
Infographic showing various Dataops Engineer job openings in California as of July 2026, with employment types broken down into 14% Internship, 8% As Needed, 45% Full Time, 3% Part Time, 3% Contract, and 27% Nights. Highlights an 67% Physical, 9% Hybrid, and 24% Remote job distribution.

DataOps Engineer

Wise Skulls Corp.

Sunnyvale, CA • On-site

Other

Posted 3 days ago

New


Job description

Title: DataOps Engineer
Location: Sunnyvale, CA (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD: 
 
Minimum Years of Experience: 8+ years
 
Core Qualifications:
  • Solid background in Hadoop ecosystems, ETL pipeline construction, Kubernetes, and AWS architecture.
Nice-to-Have:
  • Python programming skills.