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Data Ops Engineer Jobs in Florida (NOW HIRING)

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Engineers who have experience designing wireless communication and data links. This role includes ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Engineers who have experience designing wireless communication and data links. This role includes ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Data Engineering & Feature Discovery (20%) • Assist in the collection, cleaning, and organization ... interns, co-ops, and associate-level data scientists, providing coaching on model development ...

You will work cross-functionally with product, engineering, marketing, and business leaders to ... Exposure to ML Ops practices, including model monitoring, versioning, and lifecycle management

You will design and implement the automation, tooling, and data infrastructure that turns GTM ... in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role * Experience supporting ...

... and data infrastructure that powers 400+ hires per year. You'll report to the VP of Talent and partner closely with Talent Partners, People Ops, Engineering, and Finance. This isn't a support ...

... and data infrastructure that powers 400+ hires per year. You'll report to the VP of Talent and partner closely with Talent Partners, People Ops, Engineering, and Finance. This isn't a support ...

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our ... Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance ...

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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 Jun 11, 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 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.
Infographic showing various Data Ops Engineer job openings in Florida as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 36% Part Time, and 1% Temporary. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
OPS Research Assistant - AI-driven Drug Discovery

OPS Research Assistant - AI-driven Drug Discovery

University of Florida

Gainesville, FL • On-site

$15/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 19 days ago


University Of Florida rating

7.3

Company rating: 7.3 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

308th of 535 rated colleges and universities


Job description

OPS Research Assistant - AI-driven Drug Discovery
Job no: 534603
Work type: Temp Part-Time
Location: Main Campus (Gainesville, FL)
Categories: Computer Science, Artificial Intelligence
Department:32030000 - PH-MEDICINAL CHEMISTRY
Classification Title:
OPS Research Assistant - AI-driven Drug Discovery
Job Description:
The OPS Research Assistant in AI-driven Drug Discovery will work in the lab of Dr. Yanjun Li in the College of Pharmacy's Medicinal Chemistry department.
Job Description:
  • Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule.
  • Apply computational techniques, data analysis, and visualization methods for ongoing studies.
  • Train and validate large deep learning models at scale.
  • Develop optimized data pipelines to fuel deep learning models, and maximize the value of public and proprietary data assets.
  • Collaborate closely with PI, research assistants, computational biologists, experimental biologists, and chemists on research projects and scientific papers.

Expected Salary:
Starting at $15/hour; Commensurate with education and experience
Employment Benefits include:
Health Insurance: UF participates in state-sponsored benefits programs for individuals, families and domestic partners, and offers voluntary insurance that includes vision, dental, long-term disability and more. OPS employees are eligible for state benefits if your FTE is 0.75 (30 hours per week) or greater.
Retirement Options: The Federal Insurance Contributions Act (FICA) Alternative Plan is a mandatory retirement savings plan under Internal Revenue Code section 401(a) with Fidelity Investments and is required for eligible OPS employees. You may also voluntarily participate in other retirement saving plans.
To learn more visit: hr.ufl.edu/benefits
Minimum Requirements:
Bachelor's or Master's degree in computer science, electronic engineering, bioinformatics, computational biology, computational chemistry, statistics, data science, or related disciplines.
Preferred Qualifications:
  • Interests in AI-driven drug discovery, deep learning research, and self-motivated.
  • Solid Math/Statistics and coding skills in Python/R, PyTorch, and TensorFlow.
  • Demonstrated research experience in the deep learning and computational biology field.
  • Good written and oral communication skills. Proactive, perseverant, and eager to learn.
  • Ability to manage time efficiently and meet deadlines.

Special Instructions to Applicants:
To be considered, you must upload your cover letter, resume, and list of three professional references.
As a part of our review for research and research support positions, we look for a full CV which includes all professional appointments/engagements, all post-secondary education, and all publications from post-secondary education and all respective dates. Please be sure to not use acronyms in your CV. This CV should include names of entities associated with any projects.
This position is in-person and is not eligible for remote work.
Review of applications will begin Jan. 25, 2025, and continue until the position is filled.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised: 16 Dec 2025 Eastern Standard Time
Applications close: 31 Aug 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