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Data Operations Engineer Jobs in Florida (NOW HIRING)

Sr. Azure DevOps Engineer

Tamarac, FL ยท On-site

$123K - $158K/yr

... s Engineer Location: FL / TX / CA / NJ -Hybrid role Duration: 6-12 months What You Will Do: * We ... Understand Azure security features (data protection, authentication, RBAC, etc). * Understanding of ...

... operational environments ... PUMA integrates data from Department of Defense and IntelligenceOPIR (Overhead Persistent Infrared ...

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.

Security Operations Engineer - Miami/Hybrid About the Role Boats Group is looking for a Security ... Leverage AI tools to analyze large volumes of security data, identify threats, and strengthen ...

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

Traffic Operations Engineer

Tampa, FL ยท 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 ...

Traffic Operations Engineer

Tampa, FL ยท 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 ...

Traffic Operations Engineer

Orlando, FL ยท 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 ...

Traffic Operations Engineer

Tampa, FL ยท 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 ...

Data Solutions Engineer

Saint Petersburg, FL ยท On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... Mentor junior engineers, providing guidance on best practices and technologies. Evangelize ...

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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 Jun 26, 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 for analysis. They often work with tools like SQL, Python, and cloud platforms, focusing on data quality, automation, and system reliability to support data-driven decision-making.

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 tools, and certifications, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, or leadership positions in data engineering and related fields.

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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical in managing data workflows and ensuring data quality.

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 impactful projects.

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:
Infographic showing various Data Operations Engineer job openings in Florida as of June 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.

DevOps Engineer - Mid with Security Clearance

Nalley Consulting

Miami, FL โ€ข On-site

$50.25 - $69/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Join the Nalley Consulting team at Southcom HQ. Position: DevOps Engineer
LCAT: Mid
Location: SOUTHCOM HQ, Doral, FL / Off-site
Office: U.S. SOUTHERN Command J2 Required clearance: No Required education: Bachelor's degree in Computer Science, Information Technology, or a related field, or five (5) years of equivalent experience in DevOps engineering. Description: * Create and maintain environment-specific Kubernetes configuration packages (e.g., Helm values files, YAML manifests) that incorporate STIG-aligned hardening and RBAC policy enforcement per IL environment. * Implement and manage secrets injection strategies using FedRAMP-compliant tools (e.g., AWS Secrets Manager, Azure Key Vault), ensuring compatibility with automated deployment pipelines. * Integrate CI/CD pipelines to enable secure, automated deployment and rollback of ArcGIS components and related services, supporting ongoing agility and compliance across environments. * Coordinate with Kubernetes and Data Layer Engineers to ensure version control, pipeline integrity, and integration testing for all containerized services. * Coordinate with the infrastructure team to provide estimated cloud resource usage profiles for Kubernetes-based deployments in IL2, IL4, and IL5 environments. * Supply container and workload specifications to the Cloud infrastructure team to support provisioning, tagging, and prepay or reservation planning * Implement resource tagging in alignment with program-wide cloud governance policy and reconcile actual usage against estimates provided by Cloud Instances and Accreditation team. * Support cost optimization efforts led by Cloud Instances and Accreditation team by adjusting workloads and scaling strategies in response to performance and utilization feedback. Required Experience: * Possess the knowledge and capability to design, implement, and optimize CI/CD pipelines, automate infrastructure management, and ensure scalable deployments across cloud and on-premises environments. * Must be proficient in container orchestration (Kubernetes, Docker), infrastructure as code (Terraform, Ansible), and continuous integration tools (Jenkins, GitLab CI/CD, Azure DevOps, or AWS CodePipeline). * Strong understanding of cloud environments (AWS, Azure, GCP), security best practices, and monitoring/logging solutions (Prometheus, Grafana, ELK stack) is required. * Must have demonstrated experience in deploying and managing Kubernetes clusters, automating cloud infrastructure, and implementing secure, high-availability CI/CD pipelines. * Experience with microservices architecture, service mesh technologies (Istio, Linkerd), and observability tools is required. Desired Qualifications: * Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer - Professional, or Microsoft Certified: DevOps Engineer Expert. ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: * Excellent medical, dental, and vision benefits * PTO * 11 paid federal holidays * Tuition assistance * Paid military-reserve leave * Paid parental leave for birth or adoption * 401k matching up to 5 percent of the base salary * Flex time * Company-paid short-term disability, long-term disability, and life insurance.