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Seismic Data Processor Jobs in California (NOW HIRING)

... network connectivity, seismic and climate risk, and total cost of ownership • Develop and ... processes for hyperscale or large-scale data center facilities, including power, land, and network ...

Deliver sustainable and repeatable solutions and processes, always with an eye on improvement ... Install ladder racking and seismic bracing * Patch network equipment * Read and Understand Port ...

Deliver sustainable and repeatable solutions and processes, always with an eye on improvement ... Install ladder racking and seismic bracing * Patch network equipment * Read and Understand Port ...

Research and data analysis. Perform engineering geologic analyses and develop reasonable ... Develop seismic source models and earthquake catalogs. Prepare technical reports in a timely ...

Senior Geologist

Walnut Creek, CA · On-site

$110.92 - $135.56/hr

Research and data analysis. Perform engineering geologic analyses and develop reasonable ... Develop seismic source models and earthquake catalogs. Prepare technical reports in a timely ...

Research and data analysis. Perform engineering geologic analyses and develop reasonable ... Develop seismic source models and earthquake catalogs. Prepare technical reports in a timely ...

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Quality Inspector

Corona, CA · On-site

$20 - $25/hr

Randomly samples the 'in process product' to ensure specifications and dimensional checks ... Collects quality data for accept and reject rates in all areas Requirements Knowledge/Skills ...

Geotechnical Engineer

Oakland, CA · On-site

$120 - $180/hr

Remedy controls the entire process, from site identification to redevelopment entitlement and hand ... Direct field and laboratory testing, review data quality, and translate findings into clear ...

Geotechnical Engineer

Oakland, CA · On-site

$120 - $190/hr

Remedy controls the entire process, from site identification to redevelopment entitlement and hand ... Direct field and laboratory testing, review data quality, and translate findings into clear ...

By taking advantage of all structured and unstructured data - securing and protecting private ... Design and deliver interactive training on core GTM topics, including Sales Process Execution ...

Showing results 21-40

Seismic Data Processor information

See California salary details

$12

$20

$34

How much do seismic data processor jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for seismic data processor in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 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 California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,601 per year, or $20 per hour.

Data Center Location Strategy Manager

Meta

Menlo Park, CA • On-site

$202K - $273K/yr

Full-time

Re-posted 4 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

Meta is seeking a Data Center Location Strategy Manager to lead the long-range site selection and geographic portfolio strategy that underpins Meta's global data center infrastructure. In this role, you will define where Meta builds its next generation of hyperscale data centers by evaluating power availability, land acquisition potential, network connectivity, regulatory environments, and community impact across global markets. You will serve as the authoritative voice on location strategy, shaping multi-year capital deployment decisions and influencing how Meta's infrastructure footprint evolves to support billions of users worldwide.
Responsibilities
Define and own Meta's multi-year global data center location strategy, including site identification, market prioritization, and portfolio optimization across owned and leased facilities
• Lead comprehensive site feasibility assessments evaluating power grid capacity, utility infrastructure, land availability, fiber and network connectivity, seismic and climate risk, and total cost of ownership
• Develop and maintain a global pipeline of prospective data center sites, coordinating with real estate, legal, policy, and infrastructure teams to advance sites through due diligence and entitlement
• Build quantitative models and scenario analyses to compare site alternatives across financial, operational, and risk dimensions, translating findings into executive-level recommendations
• Establish and refine the frameworks, tools, and methodologies used to evaluate and rank prospective data center markets globally
• Represent location strategy in cross-functional planning forums, aligning site selection decisions with capacity planning, network architecture, and capital expenditure roadmaps
• Drive commercial solutions through creative deal and option analysis and direct negotiations with external vendors and partners
• Provide strategic guidance to leaders across infrastructure, finance, and policy on emerging market opportunities and risks affecting the global data center portfolio
• Mentor other members of the capacity planning and site selection team, elevating analytical rigor and strategic thinking across the function
Minimum Qualifications
• Experience engaging with utilities, government agencies, and economic development bodies in the context of data center development or large infrastructure projects
• Experience driving cross-functional alignment on long-range infrastructure strategy across engineering, finance, legal, and policy stakeholders
• 12+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, or a closely related field within large-scale technology or energy infrastructure organizations
• Experience leading multi-market site selection processes for hyperscale or large-scale data center facilities, including power, land, and network feasibility evaluation
• Experience developing financial and operational models to support capital-intensive infrastructure investment decisions at an organizational or portfolio level
• Bachelor's degree in a directly related field, or equivalent practical experience
Preferred Qualifications
• Experience with renewable energy procurement strategies and power purchase agreement structures as applied to data center site selection
• Familiarity with data center design standards, critical infrastructure requirements, and hyperscale construction processes that inform site suitability assessments
• Experience building or scaling a location strategy function, including developing evaluation frameworks and decision-support tools used across an organization
• Track record of influencing multi-billion-dollar capital deployment decisions through data-driven location analysis and executive-level communication
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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