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Remote Seismic Data Processing Jobs in Missouri (NOW HIRING)

$94K - $124K/yr

Build and optimize distributed systems, cloud-native services, and scalable data processing ... Fully remote work opportunity within EMEA, with flexibility to work from anywhere. * Option to work ...

In order for your application to be correctly processed please sign-in before you apply Internal ... Analyze regulatory data against statutory financial statements and prior regulatory filings to ...

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Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Drive hiring processes to attract and retain top data engineering talent globally. * Create an ...

... technical processes. Benefits: * Competitive compensation package. * Flexible remote working ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

This is a high-impact opportunity to build technical standards and processes that support the ... Flexible remote-first working environment with ownership and autonomy. * Career growth ...

Showing results 41-60

Remote Seismic Data Processing information

What are some common challenges faced by professionals in remote seismic data processing roles, and how can they be addressed?

One common challenge in remote seismic data processing is ensuring reliable data transfer and storage, as large volumes of seismic data must be securely transmitted and accessed remotely. Additionally, collaborating effectively with geophysicists and field teams can be more difficult without in-person interaction, so strong communication skills and familiarity with collaborative platforms are essential. Addressing these challenges involves establishing robust IT infrastructure, utilizing secure cloud services, and maintaining regular virtual meetings to ensure alignment and data integrity throughout the project lifecycle.

What is remote seismic data processing?

Remote seismic data processing is the analysis and interpretation of seismic data from a distance, often using cloud-based or remote-access software. This process involves collecting raw seismic signals, processing the data to remove noise, and generating subsurface images for applications such as oil and gas exploration or earthquake monitoring. Remote processing allows geophysicists and analysts to work from anywhere, increasing efficiency and collaboration across locations. It also enables companies to quickly scale resources and access specialized expertise without being onsite.

What are the key skills and qualifications needed to thrive as a remote seismic data processing specialist?

To excel in Remote Seismic Data Processing, you need a solid background in geophysics or a related field, with expertise in seismic data analysis and interpretation. Familiarity with specialized seismic processing software (such as ProMAX or SeisSpace), programming languages like Python or MATLAB, and sometimes relevant certifications, is often required. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities set top performers apart. These competencies ensure accurate data interpretation and effective teamwork, which are crucial for delivering reliable results in energy exploration and environmental studies.

What is the difference between Remote Seismic Data Processing vs Remote Geophysical Data Analysis?

AspectRemote Seismic Data ProcessingRemote Geophysical Data Analysis
CredentialsGeophysics degree, data processing certificationsGeophysics or related degree, analysis certifications
Work EnvironmentRemote, computer-based, specialized softwareRemote, data interpretation, software tools
Industry UsageOil & gas, mineral exploration, earthquake monitoringEnvironmental studies, resource exploration, hazard assessment

Remote Seismic Data Processing focuses on handling raw seismic data to prepare it for interpretation, while Remote Geophysical Data Analysis involves interpreting processed data to identify subsurface features. Both roles require geophysical knowledge and often overlap in industry applications, but processing emphasizes data preparation, whereas analysis emphasizes interpretation.

What are the most commonly searched types of Seismic Data Processing jobs in Missouri? The most popular types of Seismic Data Processing jobs in Missouri are:
What are popular job titles related to Remote Seismic Data Processing jobs in Missouri? For Remote Seismic Data Processing jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Seismic Data Processing jobs in Missouri look for? The top searched job categories for Remote Seismic Data Processing jobs in Missouri are:
What cities in Missouri are hiring for Remote Seismic Data Processing jobs? Cities in Missouri with the most Remote Seismic Data Processing job openings:
Infographic showing various Remote Seismic Data Processing job openings in Missouri as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Technical Solutions Architect III - AI Storage & Data Platforms

World Wide Technology Holding, LLC

Saint Louis, MO • Remote

$125K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

5+ years of experience in enterprise storage and data platform solutions, withdemonstratedability to both assess technical fit and advise customers on AI data readiness strategy, including:

Storage & Data Infrastructure

  • Deep working knowledge of high-performance parallel file systems
  • Strong familiarity with enterprise NAS and object storage platforms
  • Ability to evaluate storage platform fit against AI workload requirements, including training, checkpointing, and inference, without necessarily performing the hardware sizing or implementation

NVIDIA AI Data Platform

  • Working knowledge of NVIDIA AI Data Platform design requirements, reference architectures, and validation frameworks
  • Understanding of GPU-Direct Storage, NVAIE, and Mission Control as capabilities, with the ability to articulate their value and applicability to customer AI use cases
  • Familiarity with how AIDP-validated storage platforms integrate with NVIDIA compute architectures including DGX, HGX, MGX, and OVX

Data Pipelines & Frameworks

  • Working knowledge of data pipeline patterns and orchestration tools including Apache Spark, Ray,Dask, and Apache Airflow, sufficient to advise on design fit and architectural trade-offs
  • Understanding of datalakehouseand data fabric concepts including Delta Lake, Apache Iceberg, Apache Hudi, and Unity Catalog
  • Familiarity with data ingestion and movement tools such as Apache Kafka, ApacheNiFi, andAirbyte

Professional Skills

  • Demonstrated ability to engage executive and technical audiences with equal fluency
  • Experience delivering advisory workshops, architecture presentations, and strategic recommendations to enterprise customers
  • Strong written communication skills; capable of producing thought leadership content, briefings, and reference architectures
  • Sound organizational skills and ability to manage multiple concurrent customer engagements

Nice to Have

  • Python scripting for data pipeline automation or storage performance testing
  • Experience with NVIDIARun:ai,Slurm, or other workload schedulers as they relate to storage I/O optimization
  • Previousexposure to NVIDIA Enterprise and NCP reference architectures
  • Experience with cloud storage integration: AWS S3, Azure Blob, Google Cloud Storage, and hybrid data fabric designs
  • Familiarity with data governance, data cataloging, and compliance frameworks in AI environments

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $125,000.00 to $156,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

  • Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
  • Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
  • Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring

process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.

World Wide Technology is an Equal Opportunity Employer.

#LI-DP2

#LI-Remote

Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class

partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture-grounded in core values and leadership philosophies-has been recognized by Fortune and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What will you be doing?

World WideTechnology is seeking aTechnical Solutions Architect (TSA) - AI Storage & Data Platformsto join our AI & High-Performance Architectures (HPA) practice within the Global Solutions & Architecture (GS&A) team.This is a strategic, customer-facing role focused on architecting and delivering high-performance storage, data platform, and data pipeline solutions that power AI and machine learning workloads at scale.

You will serve as WWT's subject matter expert on AI data infrastructure,spanning the full stack from raw storage and data movement to data frameworks,lakehousearchitectures, and NVIDIA AI Data Platform design,working alongside our world-class ecosystempartnerEverpure.

Why Join theAI & Data Team?

Our AI & Data Team sits at the intersection of infrastructure and intelligence, designing the data foundations that make AI possible.You'llwork with the most advanced storage, data platform, and AI technologies on the market, alongside the partners shaping the modern AI and data ecosystem. As part of WWT's Global Solutions & Architecture organization, the team turns emerging technology into production-ready solutions and uses the AdvancedTechnology Center toprove outarchitectures before they reach a customer environment. This is a high-visibility role withdirectimpact on WWT's AI go-to-market strategy and our customers' most ambitious AI initiatives.

What You'll Own

AI Data Platform ArchitectureLead the design and sizing of end-to-end AI data infrastructure,from GPU-Direct Storage and high-performance parallel file systems to datalakehouseand data fabric architectures,aligned to NVIDIA AI Data Platform design requirements and partner reference architectures.

Partner Solution DevelopmentServe as WWT's technical lead for our storage and data platform partner ecosystem,working closely with our strategic ecosystem partnerEverpure. Develop andmaintainjoint solution designs, reference architectures, and go-to-market plays.

Pre-Sales & Customer EngagementEngage directly with customers to assess AI data infrastructure requirements, define architectures, and deliver compelling solution proposals - including HLDs, BOMs, and LLDs - for enterprise and hyperscale AI workloads.

Field Enablement & Thought LeadershipDevelop and deliver training, briefings, workshops, and reference architectures that enable WWT's field teams and partners to position and sell AI storage and data platform solutions with confidence.

Pipeline & Business DevelopmentCollaborate with regional architects, sales leadership, and the broader GS&A practice toidentify, qualify, and advance new business opportunities in the AI data infrastructure space.

Practice & Partner AlignmentMaintain OEM and partner certifications, track product roadmaps, and align WWT's go-to-market strategy with partner initiatives, including NVIDIA AI Data Platform certifications and theEverpurepartner program.

Responsibilities

  • Advise customers on AI Data Readiness strategy, assessing current data infrastructure, pipeline maturity, and platform capabilities against the requirements of their targeted AI use cases
  • Translate NVIDIA AI Data Platform features, including GPU-Direct Storage, NVAIE, and Mission Control, into tangible business and workload outcomes for enterprise customers and field audiences
  • Develop and deliver AI Data Readiness workshops, assessments, and frameworks that help customersidentifygaps between their current data environment and the requirements of production AI
  • Guide customers on how AIDP-validated platforms such as VAST, Weka, DellPowerScale, and NetApp ONTAP AI enable specific AI use cases across training, inference, andMLOpsworkflows
  • Partner with HPA and infrastructure architects to provide advisory context on how data strategy, pipeline design, and platform selection affect AI Factory outcomes at the customer level
  • Develop use case guidance on how data pipeline and framework design choices, including orchestration, transformation, and ingestion patterns, affect AI workload performance and data readiness
  • Create enablement content, including briefings, workshops, reference architectures, and thought leadership, that equips WWT field teams to confidently position AIDP value in customer conversations
  • Support field teams with deal-level advisory, translating AIDP platform capabilities into business justification and customer outcomes
  • Maintain current knowledge of AIDP roadmap, certifications, and partner program requirements to ensure WWT's advisory position reflects the latest capabilities
  • Participate in AI and Data Team meetings, partner briefings, and training to remain aligned across the practice
  • Travel asrequiredto customer sites, partner events, and WWT facilities

Travel Requirements: 25-50%