ZipRecruiter

Log In

1

Data Operations Engineer Jobs in Florida (NOW HIRING)

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to ...

Morson Talent

2501: DevOps Engineer III

Melbourne, FL · Hybrid

$60 - $65/hr

... s Engineer III Location: Melbourne VERNOVA FL US 1; 511 N John Rodes Blvd; Melbourne Florida 32934 ... Design, deploy, and support hybrid cloud, edge, and micro data center infrastructure Build and ...

Aptus Solutions Inc.

DevOps engineer

Miami, FL · On-site

$50.50 - $69/hr

... s engineer Location : Miami, FL Duration : Fulltime position Responsibilities include but are not ... real time data streaming and mining. * Creates Cloud Formation templates to automate the ...

Ci

Senior Data Engineer

Miami, FL

$101K - $137K/yr

Technical data operations and execution . Implement engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring.

Ci

Data Engineering Manager

Miami, FL

Technical data operations and execution . Establish engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring.

VHB

Traffic Operations Engineer

Tampa, FL · On-site

$82K - $112K/yr

If you love digging into data, optimizing systems, and turning complex traffic challenges into ... operations and signal retiming * Engineer-in-Training (EIT) certification * PE licensure preferred ...

VHB

Traffic Operations Engineer

Tampa, FL · Hybrid

$82K - $112K/yr

If you love digging into data, optimizing systems, and turning complex traffic challenges into ... operations and signal retiming * Engineer-in-Training (EIT) certification * PE licensure preferred ...

VHB

Traffic Operations Engineer

Orlando, FL · Hybrid

$81K - $110K/yr

If you love digging into data, optimizing systems, and turning complex traffic challenges into ... operations and signal retiming * Engineer-in-Training (EIT) certification * PE licensure preferred ...

VHB

Traffic Operations Engineer

Tampa, FL · Hybrid

$82K - $112K/yr

If you love digging into data, optimizing systems, and turning complex traffic challenges into ... operations and signal retiming * Engineer-in-Training (EIT) certification * PE licensure preferred ...

next page

Showing results 1-20

All JobsData Operations Engineer JobsData Operations Engineer Jobs in Florida

Data Operations Engineer information

See Florida salary details

$26.9K

$63.5K

$100.9K

How much do data operations engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data operations engineer in Florida is $63,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $70,200.00 per year, depending on experience, location, and employer.

What does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently and accurately. They often work with tools like SQL, Python, and cloud platforms to automate data workflows, troubleshoot issues, and optimize data systems for analytics and reporting.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What engineers make $300,000 a year?

Senior data operations engineers, especially those with extensive experience, advanced skills in data management, automation, and cloud platforms, can earn $300,000 or more annually. High compensation often depends on factors such as location, industry, certifications, and the complexity of data systems managed.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are the key skills and qualifications needed to thrive as a Data Operations Engineer, and why are they important?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What engineers make $500,000?

Senior data operations engineers with extensive experience, advanced skills in data management, automation, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

What are some common challenges faced by Data Operations Engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
What are popular job titles related to Data Operations Engineer jobs in Florida? For Data Operations Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Operations Engineer jobs in Florida look for? The top searched job categories for Data Operations Engineer jobs in Florida are:
Data Operations Engineer jobs near you
Infographic showing various Data Operations Engineer job openings in Florida as of July 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $63,541 per year, or $30.5 per hour.
Data Engineer

Data Engineer

Clarity Innovations

Hurlburt Field, FL • On-site

$73K - $175K/yr

Full-time

Posted 11 days ago

Job description

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation's interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Role
This Data Engineer directly supports the Air Force Special Operations Command based at Hurlburt Field, Florida. Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support AFSOC's initiative to be more capable and effective when leveraging their data resources.
Responsibilities
A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data Engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.
The Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.
The Senior Data Engineer shall perform the following tasks:
  • Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources.
  • Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
  • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
  • Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
  • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
  • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
  • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs

Requirements
  • Minimum of 1-year experience is required.
  • Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
  • Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
  • Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
  • A Secret Clearance is required to start

Preferred Qualifications
  • Familiarity with Palantir Envision and/or MSS
  • Familiarity with DoD.
  • Top Secret Clearance with SCI eligibility

Salary Range: $73,000 - $175,000
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Apply