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Data Ops Engineer Jobs (NOW HIRING)

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 ...

Staff Software Engineer, Data Ops

Palo Alto, CA · On-site

$206.50K - $258.10K/yr

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 ...

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Role: Data Ops Informatica Location: Denver, CO - Hybrid Duration: 12 Months Contract Senior ... Cloud Engineer Position Objective: The Client seeking a highly specialized Senior Operations and ...

Dev Ops Engineer

Boston, MA · On-site

$57.25 - $78.50/hr

Role: Dev Ops Engineer Location: Boston, MA Role Descriptions: designs| build| and maintain scalable cloud infrastructure and CICD pipelines to deploy| manage| and monitor data-driven ...

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 ...

They are seeking a Data Analyst for their Data Ops team, responsible for delivering scalable data ... Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a ...

AI Ops Engineer

Reston, VA · On-site

$72.30K - $97.80K/yr

AI Ops Engineer Location: Reston, VA (3 to 4 days onsite is must) Job Type: Contract Required ... Solid experience integrating AI agents with various data sources, including Elasticsearch, SQL and ...

Help build the Cloud Ops organization based on SRE practices. * Monitor Cloud Expenses: Identify ... Analyze Cloud Data: Identify cost optimization and usage opportunities and create specific ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100.90K - $138.60K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical ... Continuously monitor model performance, data drift, latency, error rates, and system health. Build ...

Senior ML Ops Engineer

Columbus, OH

$100.90K - $138.60K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical ... Continuously monitor model performance, data drift, latency, error rates, and system health. Build ...

Tech Ops Engineer

Chicago, IL · Remote

$100K - $140K/yr

... data -- the way we provision devices, manage identity, and control access has to scale with us ... Role Overview We're looking for a hands-on Tech Ops Engineer to own the internal technical ...

Tech Ops Engineer

San Francisco, CA · Remote

$100K - $140K/yr

... data -- the way we provision devices, manage identity, and control access has to scale with us ... Role Overview We're looking for a hands-on Tech Ops Engineer to own the internal technical ...

Cloud Ops Engineer

Richmond, VA · On-site

$52.25 - $71.50/hr

We are seeking a Cloud Ops Engineer with 2+ years of experience to help build...., and operate ... Partner with data engineering and application teams to enable self-service provisioning and ...

Cloud Ops Engineer

Richmond, VA · On-site +1

$52.25 - $71.50/hr

We are seeking a Cloud Ops Engineer with 2+ years of experience to help build...., and operate ... Partner with data engineering and application teams to enable self-service provisioning and ...

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Data Ops Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data ops engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data ops engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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 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 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.

More about Data Ops Engineer jobs
What cities are hiring for Data Ops Engineer jobs? Cities with the most Data Ops Engineer job openings:
What states have the most Data Ops Engineer jobs? States with the most job openings for Data Ops Engineer jobs include:
Infographic showing various Data Ops Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Staff Software Engineer, Data Ops

Staff Software Engineer, Data Ops

Rivian

Palo Alto, CA

$206.50K - $258.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Rivian rating

7.4

Company rating: 7.4 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 


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 business users. This candidate needs to have a very good understanding of the AWS Cloud Data Platform and Data Ops processes that helps to build, test, and release complex mission critical infrastructure services for Rivian's ADAS team on AWS cloud.

In this role you will work with the ADAS Cloud, Data, Perception, SIL/HIL, Vehicle integrations & Vehicle Cloud teams, Product Management, and other Technology Partners to leverage best practices and reference architectures highlighting AWS Cloud Platform and Data/Dev/ML Ops practices.


Responsibilities
  • Lead, build, test and release complex mission-critical infrastructure services for Rivian's ADAS team on cloud and/or on-prem.
  • Setup fault tolerant multi-region environments for data operations and data applications.
  • Own CI/CD pipeline for apps and data projects.
  • Define on-call strategy and participate in on-call rotations.
  • Make developers' lives smooth via automated workflows.
  • Build and optimize highly reliable, scalable, and distributed infra using microservice architecture.
  • Collaborate with the security & privacy team to perform audits and mitigate any findings.
  • Collaborate with cross-functional ADAS teams for development and integrations.
  • Cost optimization in AWS across multiple accounts and services.

Qualifications
  • 5+ years of software engineering or in ML/Dev/Data Ops role.
  • 5+ years of experience authoring, scaling, and managing production infrastructure.
  • 5+ years of experience working with Kubernetes, AWS CI/CD tools, AWS networking stack, S3, Lambda, EKS, ECS, RDS, System Manager, Secrets Manager, CloudTrail, etc.
  • 5+ years Infra as Code and configuration management (Terraform, AWS cloud formation, AWS CDK).
  • 5+ years of experience with monitoring applications in cloud using Datadog, AWS CloudWatch or Prometheus.
  • 5+ years of eperience debugging production systems and performing RCA on incidents.
  • 3+ years of being hands-on with Python, Go or Java and Gitlab for automation.
  • 2+ years of CI/CD and/or GitOps patterns (using Gitlab, Jenkins, Allure etc.)
  • 2+ years of microservice-oriented architectures (using Kubernetes (EKS), AWS ECS, or Docker swarm).
  • 2+ years of knowledge of Agile Development of Accessible Software Tools.
  • Linux internals, networking, and distributed computing are a plus.
  • AWS or Cloud Native certification is a plus.

Pay Disclosure

The salary range for this role is $206,500-$258,100 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. 



Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

Please note that we are currently not accepting applications from third party application services.

Qualifications:
  • 5+ years of software engineering or in ML/Dev/Data Ops role.
  • 5+ years of experience authoring, scaling, and managing production infrastructure.
  • 5+ years of experience working with Kubernetes, AWS CI/CD tools, AWS networking stack, S3, Lambda, EKS, ECS, RDS, System Manager, Secrets Manager, CloudTrail, etc.
  • 5+ years Infra as Code and configuration management (Terraform, AWS cloud formation, AWS CDK).
  • 5+ years of experience with monitoring applications in cloud using Datadog, AWS CloudWatch or Prometheus.
  • 5+ years of eperience debugging production systems and performing RCA on incidents.
  • 3+ years of being hands-on with Python, Go or Java and Gitlab for automation.
  • 2+ years of CI/CD and/or GitOps patterns (using Gitlab, Jenkins, Allure etc.)
  • 2+ years of microservice-oriented architectures (using Kubernetes (EKS), AWS ECS, or Docker swarm).
  • 2+ years of knowledge of Agile Development of Accessible Software Tools.
  • Linux internals, networking, and distributed computing are a plus.
  • AWS or Cloud Native certification is a plus.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009