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Remote Seismic Data Processing Jobs in Virginia (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Strong knowledge of data pipeline design, ETL processes, and database management. * Proficiency in ...

ESB Technologies

Data Product Analyst

Richmond, VA · Remote

Remote (Must work PST/MST/CST hours) Type: Long-term Contract We are seeking a Data Product Analyst ... marts, ETL processes, and cloud-based data models Help move on-prem data infrastructure and ...

Revolutional, LLC

Data Engineer

Mclean, VA · Remote

$115K - $139K/yr

Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to ... Write production-grade code using Python and/or SQL to support data processing and automation

Harmonia Holdings Group, LLC.

Data Engineer

Mclean, VA · Remote

$117K - $141K/yr

Remote Terms: Full-time Travel: 0% Project Description This position supports Revolutional ... Write production-grade code using Python and/or SQL to support data processing and automation

SAIC

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Strong knowledge of data pipeline design, ETL processes, and database management. * Proficiency in ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site +1

$115K - $139K/yr

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Develop data pipelines, ETL/ELT processes, and ingestion frameworks for structured, semi-structured ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... From batch ingestion to near real-time processing, your work will directly support national ...

Deltek

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... processing. * Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Luigi, or ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... processing. * Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Luigi, or ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... process. Job Expires 17-Mar-2027

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Remote Seismic Data Processing information

What are the key skills and qualifications needed to thrive as a Remote Seismic Data Processing Specialist, and why are they important?

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 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 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 Virginia? The most popular types of Seismic Data Processing jobs in Virginia are:
What are popular job titles related to Remote Seismic Data Processing jobs in Virginia? For Remote Seismic Data Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Seismic Data Processing jobs in Virginia look for? The top searched job categories for Remote Seismic Data Processing jobs in Virginia are:
What cities in Virginia are hiring for Remote Seismic Data Processing jobs? Cities in Virginia with the most Remote Seismic Data Processing job openings:
Remote Seismic Data Processing jobs near you
AI Data Engineer

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site, Remote

$129K - $155K/yr

Full-time

Posted 17 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 203 rated it services

Job description

Job ID: 2612714

Location: Fort Belvoir, VA, US

Date Posted: 2026-05-18

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications

Required Education:

  • Bachelors degree and five (5) years or more related experience; Masters and two (2) years or more experience; PhD or JD and zero (0) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  
     

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