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Data Ops Engineer Jobs in California (NOW HIRING)

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

We are seeking a Data Operations 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 ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

We are seeking a Data Operations 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 ...

Data Ops Engineer VFDE

San Diego, CA · On-site

$200K - $240K/yr

Description We are seeking a Data Operations 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 ...

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of ...

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of ...

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 ...

AI/ML Ops Engineer We are looking for a skilled AI/ML Ops Engineer to join our team in Pleasanton ... You'll help bridge the gap between data science and production systems, ensuring scalable, reliable ...

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 ...

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 ...

Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. Solid understanding of software engineering principles and DevOps practices. Ability to communicate complex ...

DevOps Engineer - Data Ops

San Jose, CA · On-site

$61.75 - $84.75/hr

... s Engineer - Data Ops involves automating workflows, enhancing platform reliability, and supporting data engineering teams to improve development and deployment practices. Responsibilities : • ...

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

As a key member of the Data engineering team, will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our ...

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

As a key member of the Data engineering team, will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our ...

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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:
Data Ops Engineer

Data Ops Engineer

Xenith Solutions

San Diego, CA • On-site

$121K - $145K/yr

Full-time

Posted 20 hours ago


Job description

Xenith Solutions is a small family focused business where we focus on taking care of our employees and customers equally.  We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior service.  If you want to be a part of a rapidly growing business with an exceptional culture, then you want to be a part of the Xenith Solutions family.
Xenith Solutions is seeking a highly skilled and motivated Data Scientist to join our team in developing innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs. You should possess deep expertise in Python, data science libraries, and visualization/BI tools to lead advanced analytics initiatives supporting mission-critical objectives. The ideal candidate brings both strong technical acumen and domain experience working with Department of Defense (DoD) and/or Intelligence Community (IC) data sources such as SIGINT, GEOINT, or other multi-INT data. This position may be filled as a Senior Data Scientist.
Responsibilities:
  • We are seeking a Data Operations 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).

Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business founded in 2019. We provide comprehensive, timely and relevant Solutions and Business Consulting support to our customers as a key partner. Our leadership brings over a century of combined experience in Defense and Civilian markets. Our employees possess experience in all aspects of solution development from requirements creation, development, test and evaluation, fielding, and sustainment. At the core of our offerings, we provide strategy and technology solutions, giving our customers valuable insights and thought leadership on the best application of information technology to drive business objectives.

Xenith focuses on solving complex business challenges facing our customers. Our “Success Through Achievement” work ethic means our customer receive quality solutions through our commitment. We pride ourselves on tackling some of the most difficult operational requirements our customers have – ensuring an appropriate match between the mission requirements, financials, schedule, and security.

EEO

Xenith Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.

EEO IS THE LAW

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Xenith Solutions.

E-Verify

As a Federal Contractor, Xenith Solutions is required to participate in the E-Verify Program to confirm eligibility to work in the United States.

Affirmative Action Plan
As a federal government contractor and based on Executive Orders and applicable laws and regulations, Xenith Solutions develops and maintains annual written Affirmative Action Plans and endeavors to hire and advance qualified minorities, females, individuals with disabilities, and protected veterans.

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