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Data Ops Engineer Jobs (NOW HIRING)

Senior Data Ops Engineer

Columbus, OH · On-site

$99K - $134K/yr

Senior Data Ops Engineer Location: Charlotte, NC; Irving, TX; Chandler, AZ; Columbus, OH; Des Moines, IA; or Minneapolis, MN. Rate: DOE Term: 12+ Months This role is an opportunity to be part of a ...

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 ...

Summary of Position: he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle ...

Data Ops Engineer VFDE

San Diego, CA · On-site

$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 ...

Data Ops Engineer VFDE

San Diego, CA · On-site

$121K - $146K/yr

SAIC is seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. The role involves ensuring reliable data flow from various sources into the data platform ...

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 ...

Azure Data/Ops Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Azure Data/Ops Architect We are seeking a highly skilled Azure Data/Ops Architect to lead the ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

Azure Data/Ops Architect

Dallas, TX · On-site

$63 - $82.25/hr

Azure Data/Ops Architect Location: Dallas TX or San Francisco CA (Onsite 100%) Role ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data/Ops Architect Location: Dallas TX or San Francisco CA Role/Responsibilities We are ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics ... Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field ...

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 ...

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 ...

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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 Jul 3, 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 engineer makes 500,000 a year?

A Data Ops Engineer can earn $500,000 annually, especially at senior levels or in high-demand industries, often with extensive experience, advanced skills in automation, cloud platforms, and data management tools. Such compensation typically includes base salary, bonuses, and stock options, and is more common in large tech companies or executive roles.

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.

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 is the salary of DataOps specialist?

The salary of a DataOps specialist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in cloud platforms, automation tools, and scripting tend to earn higher salaries.

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 work with tools like Apache Spark, Kubernetes, and CI/CD systems, and require skills in scripting, cloud platforms, and data management practices to support data analytics and machine learning initiatives.

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.
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 June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Ops Engineer

Senior Data Ops Engineer

Redolent

Columbus, OH • On-site

$99K - $134K/yr

Other

Posted 2 days ago


Job description

Senior Data Ops Engineer

Location: Charlotte, NC; Irving, TX; Chandler, AZ; Columbus, OH; Des Moines, IA; or Minneapolis, MN. Rate: DOE Term: 12+ Months

This role is an opportunity to be part of a high-performing team passionate about data, focusing on building a modern AI-enabled data platform from the ground up. The successful candidate will apply deep technical skills to create data products, develop AI-based automation tools, and build a world-class cloud analytics capability on a Hybrid cloud. You will be an integral part of migrating on-premises systems to the Google Azure cloud and leading the design and hands-on implementation of modern data processing capabilities.


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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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