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Data Ops Engineer Jobs in Florida (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 ...

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 ...

Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build ...

SRE AI Ops Engineer

Miami, FL · On-site

$54.50 - $72.50/hr

Kforce has a client that is seeking a SRE AI Ops Engineer in Miami, FL (Florida). Summary: We are ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

A live ops engineer is the most similar role in comparison. Overall Responsibilities * Develop and ... data to drive decision‑making * Perform retrospectives, developing training materials and ...

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go. * Interface with other ...

Data Engineer

Orlando, FL · Hybrid

$50 - $65/hr

Architect enterprise cloud ops solutions for data topologies, working across cloud-based data ... Database Programming & Reverse Engineering: Write advanced SQL queries and stored procedures while ...

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Showing results 1-20

Data Ops Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data ops engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data ops engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 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.

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 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.

Is data operations a good career?

Data Operations, often involving roles like Data Ops Engineer, is a growing field focused on managing data pipelines, automation, and infrastructure. It offers strong job demand, competitive salaries, and opportunities to work with tools like cloud platforms and data management systems, making it a viable career choice for those interested in data and technology.

What job categories do people searching Data Ops Engineer jobs in Florida look for?

The top searched job categories for Data Ops Engineer jobs in Florida are:

Infographic showing various Data Ops Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

$35.92 - $40.71/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

390th of 630 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

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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