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Data Ops Manager Jobs in California (NOW HIRING)

SAIC

Data Ops Engineer

San Diego, CA · On-site

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Ops Engineer to design, build, and maintain real-time ... Support the incident management process to ensure that incidents are documented and resolved ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion ... the incident management process to ensure that incidents are documented and resolved quickly.

Chai Discovery, Inc

Data Ops

San Francisco, CA · On-site

Someone who operates with urgency, has strong communication and project management skills, and who has an analytical nature. Data is vital to training frontier AI models, testing research hypotheses ...

Rivian

Staff Software Engineer, Data Ops

Palo Alto, CA · On-site

$206K - $258K/yr

... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...

Rivian

Staff Software Engineer, Data Ops

Palo Alto, CA · On-site

$206K - $258K/yr

... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...

Sieve

Product & Ops Lead

San Francisco, CA · On-site

Job Summary : Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in high-quality training data for various applications. The Product & Ops Lead will manage ...

Xenith Solutions LLC

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

SAIC

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Ops Engineer to design, build, and maintain real-time ... Support the incident management process to ensure that incidents are documented and resolved ...

Tapcart Inc

Marketing Ops Manager

Santa Monica, CA · On-site

$140K - $150K/yr

You'll ensure our marketing data is clean, our attribution is accurate, and our funnel metrics tell ... with Sales, Rev Ops, Product, and Customer Success. You communicate proactively, manage ...

Sieve

Data Operations Lead

San Francisco, CA · On-site

Responsibilities : • Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows • Drive platform growth: run acquisition campaigns ...

Acess Global

Mongo DBA

Sunnyvale, CA · On-site

$59.50 - $81/hr

Deploying, migrating data, monitoring, analyzing, and tuning MongoDB. * In-depth knowledge of Ops Manager and Ops manager Upgrade. * Knowledge about Groups and Project in Ops Manager * Knowledge ...

Nastech Global

Mongo DBA

Sunnyvale, CA · On-site

$59.50 - $81/hr

Deploying, migrating data, monitoring, analyzing, and tuning MongoDB. * In-depth knowledge of Ops Manager and Ops manager Upgrade. * Knowledge about Groups and Project in Ops Manager * Knowledge ...

RS Group

Site Ops Manager II

Vacaville, CA · On-site

Execute and manage all aspects of purchasing in a cost-effective manner and maintain data integrity ... Ops reporting, etc.) as required. Evaluate/analyse report results and then develop/initiate ...

RS Group

Site Ops Manager II

Vacaville, CA · On-site

Execute and manage all aspects of purchasing in a cost-effective manner and maintain data integrity ... Ops reporting, etc.) as required. Evaluate/analyse report results and then develop/initiate ...

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Data Ops Manager information

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Data Ops manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are the most commonly searched types of Data Ops jobs in California? The most popular types of Data Ops jobs in California are:
What are popular job titles related to Data Ops Manager jobs in California? For Data Ops Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Ops Manager jobs in California look for? The top searched job categories for Data Ops Manager jobs in California are:
What cities in California are hiring for Data Ops Manager jobs? Cities in California with the most Data Ops Manager job openings:
Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Ops Engineer

SAIC

San Diego, CA • On-site

$200K - $240K/yr

Other

Re-posted 29 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Job ID: 2612348
Location: San Diego, CA, US
Date Posted: 2026-07-28
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
We are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability. You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions. This position is on-site in San Diego, CA. Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.
  • Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.
  • Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Employ a variety of data manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team.
  • Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable.
  • Work with data in a variety of formats including Excel, CSV, JSON, and XML.
  • Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and
  • prevent repeated occurrences of data outages.
  • Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues. Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
  • Partner with security and governance teams to enforce encryption, authentication authorization, and data classification.
  • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.

Qualifications
  • U.S. citizenship and an active TS/SCI
  • Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
    Tools
  • Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
    Operating Systems: Windows, Linux (RedHat).

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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