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Seismic Data Processor Jobs in Florida (NOW HIRING)

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Seismic Data Processor information

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$26

How much do seismic data processor jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for seismic data processor in Florida is $15.14, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $16.68 per hour, depending on experience, location, and employer.

What does a seismic data processor do?

A Seismic Data Processor is responsible for analyzing and interpreting seismic data collected from the field, usually for oil, gas, or mineral exploration. They use specialized software and techniques to process raw seismic signals, remove noise, and enhance data quality to create clear images of subsurface geological structures. Their work is critical in helping geoscientists and engineers make informed decisions about drilling and resource extraction. Seismic Data Processors often collaborate closely with geophysicists and other technical teams to ensure accurate and reliable results.

What skills and qualifications are needed to be a seismic data processor?

To thrive as a Seismic Data Processor, you need a strong background in geophysics, mathematics, and computer science, typically supported by a relevant degree. Proficiency with seismic processing software such as ProMAX, Omega, or Petrel, and familiarity with data management systems, is essential. Attention to detail, problem-solving skills, and effective teamwork are important soft skills in this role. These skills ensure accurate interpretation of seismic data, contributing to successful exploration and development in the energy sector.

What challenges do seismic data processors face when handling large datasets, and how are these managed?

Seismic Data Processors often work with extremely large and complex datasets, which can present challenges related to data storage, processing speed, and maintaining data quality. Managing these challenges typically involves using specialized software, high-performance computing resources, and rigorous quality control procedures. Collaboration with geophysicists and IT specialists is also key, as it ensures data integrity and helps troubleshoot technical issues. Staying updated with the latest processing techniques and regularly participating in training can further help address these challenges effectively.

What is the difference between Seismic Data Processor vs Geophysical Data Analyst?

AspectSeismic Data ProcessorGeophysical Data Analyst
CredentialsTypically requires a degree in geophysics, geology, or related field; certifications in seismic processing are a plusRequires a degree in geophysics, geology, or related field; often holds certifications in data analysis or GIS
Work EnvironmentWorks primarily in seismic processing labs or on-site at exploration sitesWorks in offices analyzing geophysical data, often using GIS and statistical software
Industry UsageCommonly employed in oil & gas exploration, seismic survey companiesUsed across oil & gas, environmental consulting, and research sectors

Seismic Data Processors focus on processing raw seismic data to create interpretable images, while Geophysical Data Analysts interpret processed data to make exploration decisions. Both roles require similar educational backgrounds but differ in daily tasks and work environments.

Infographic showing various Seismic Data Processor 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 $31,501 per year, or $15.1 per hour.

Lead, Software Engineer - Backend /Integration - TS/SCI

Patrick Air Force Base, FL

Full-time

Re-posted 20 days ago


Job description

Job Title: Lead, Software Engineer  - Backend/Integration

Job Code: 43111

Job Location: Patrick Space Force Base, FL

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

 

Job Description:

We are seeking a TS/SCI-cleared, highly skilled and motivated Lead Software/Integration Engineer with experience in modern backend development, Java, AWS, Docker, Linux, CI/CD, and AI-assisted development experience to support mission modernization, software integration, and mission-system reliability improvements. The ideal candidate will provide technical leadership across software and infrastructure teams and work onsite at Patrick Space Force Base.

Essential Functions:

  • Develop secure and scalable back-end services and application logic to support mission applications and workflows.
  • Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines.
  • Deploy and maintain applications in AWS, ensuring scalability, security, resilience, and cost-effectiveness.
  • Engage with customers daily to refine requirements and improve application functionality.
  • Prepare and brief technical designs, implementation plans, roadmaps, and documentation.
  • Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities.
  • Supporting Agile software development teams and participating in Scrum ceremonies.
  • Building and deploying mission applications in classified or high-security environments.
  • Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position.

Qualifications:

  • Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
  • Active TS/SCI clearance.

Preferred Additional Skills:

  • Proficiency with Java language
  • Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction.
  • Experience developing and deploying containerized applications using Kubernetes K-8.
  • Experience developing and deploying applications in Amazon Web Services (AWS).
  • Experience with Docker, CI/CD, Git, REST APIs, microservices, and secure software development.
  • Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired.
  • Experience building back-end services and APIs using Python, Java, Node.js, .NET, or similar.
  • Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores.
  • Prior field assignment experience
  • Experience with AI-assisted development tools
  • Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred.
  • Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar.
  • Familiarity with the C2S Access Portal (CAP) and high-side AWS environments is highly desired.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.

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