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Data Ops Engineer Jobs (NOW HIRING)

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

OPS Engineer Job no: 540809 Work type: Temp Full-Time Location: Main Campus (Gainesville, FL ... Data analysis to derive meaningful insights. The engineer will collect data from experiments for ...

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 ...

We are seeking a self-driven ES Data Ops Engineer & Strategist within the ES Office of Data - to establish and scale the data foundations specifically for our HR Operations team. This is a unique ...

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 ...

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 ...

Data engineering tools: Airflow, Spark * ML Ops frameworks and DevOps practices Preferred Skills * Experience with AutoML platforms (Vertex AI AutoML, H2O Driverless AI) * Familiarity with model ...

New

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

Showing results 21-40

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 Aug 16, 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 is a Data Ops Engineer?

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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$35.92 - $40.71/hr

Other

Posted 12 days ago


University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

385th of 618 rated colleges and universities


Job description

OPS Engineer
Job no: 540809
Work type: Temp Full-Time
Location: Main Campus (Gainesville, FL)
Categories: Computer Science, Artificial Intelligence, Engineering, Physical/Mathematical Sciences
Department:19010605 - EG-FL APPLIED RESEARCH ENTRPS
Classification Title:OPS Engineer
Classification Minimum Requirements:
Bachelor's degree in Engineering (Science, Computer Science, Electrical, Aerospace, or related field)
Programming experience either in C++ or Python
2 + years experience in Robotics Research
Job Description:
The FLARE Networked & Collaborative Systems Area Engineer will contribute to AI/ML implementation and autonomous vehicle software and hardware development. The engineer will write code for guidance, navigation, and control of autonomous agents that operate in GPS-denied environments. Data analysis to derive meaningful insights. The engineer will collect data from experiments for further processing, error analysis, algorithm improvement and debugging and will document and maintain code via version control software to ensure that tools and software frameworks are preserved, easily accessible and maintainable. Support technical proposal and scientific publications.
Expected Salary:
$35.92 - $40.71 per hour; commensurate with experience
Required Qualifications:
  • Bachelor's degree in Engineering (Science, Computer Science, Electrical, Aerospace, or related field)
  • Programming experience either in C++ or Python
  • 2+ years of experience on Robotics Research

Preferred:
  • Master's degree in Engineering (Aerospace, Electrical, Computer, Mechanical, Computer Science, or related field)
  • Strong analytical reasoning, organizational, communication, and prioritization skills.
  • 2 years of professional experience with research experience in GPS-denied guidance, navigation, and control (GNC), software development, including testing, and troubleshooting
  • Linux development environment and command line interface, MATLAB, C++, and Python, ROS, with implementations both in ROS1 and ROS2
  • Computer vision to include clustering-based segmentation algorithms and visual odometry
  • Strong understanding of the breadth of machine learning to include supervised, unsupervised learning, and reinforcement learning approaches, both theoretically and practically
  • Professional experience writing technical reports to include academic papers and general reports, collaborating with and mentoring junior engineers, graduate students, and undergraduate interns
  • Professional experience with motion capture systems, visual servoing applications, ROSflight and Pixhawk flight control systems

Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised: 03 Aug 2026 Eastern Daylight Time
Applications close: 03 Sep 2026 Eastern Daylight Time
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About University of Florida

Sourced by ZipRecruiter

The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853