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Remote Seismic Data Processing Jobs (NOW HIRING)

Data Engineer (Remote)

San Francisco, CA ยท On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Strong understanding of modern ETL/ELT architecture and large-scale data processing. * Strong ...

Remote-Senior Data Engineer

Lincoln, NE ยท Remote

$92K - $125K/yr

Remote / Lincoln, Nebraska Job Summary The Senior Data Engineer will serve as the primary technical ... This mission-critical platform processes provider, member, reference, and encounter data used by ...

Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is ... Knowledge of cloud-native services for AI/ML, data storage, and processing. Experience deploying ...

About Seismic Seismic is a boutique creator sponsorship agency that builds high-performance ... Campaign Managers (activation + execution) We are a remote-friendly team with offices in Oakland ...

Principal Sales Engineer

$123K - $169K/yr

... repeatable POC process for the team. * Participate in and lead tiger teams assembled around ... data. The range listed below is the minimum to the maximum of our target hiring range. Seismic ...

Azure Data Architect

$65.25 - $84/hr

REMOTE Duration: 6+ months Reponsibilities: * Design and implement scalable data solutions using ... Build and optimize data pipelines, data lakes, and data warehouses for large-scale data processing

Showing results 41-60

Remote Seismic Data Processing information

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$12

$20

$34

How much do remote seismic data processing jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote seismic data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

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.

More about Remote Seismic Data Processing jobs
What cities are hiring for Remote Seismic Data Processing jobs? Cities with the most Remote Seismic Data Processing job openings:
What are the most commonly searched types of Seismic Data Processing jobs? The most popular types of Seismic Data Processing jobs are:
What states have the most Remote Seismic Data Processing jobs? States with the most job openings for Remote Seismic Data Processing jobs include:
What job categories do people searching Remote Seismic Data Processing jobs look for? The top searched job categories for Remote Seismic Data Processing jobs are:
Infographic showing various Remote Seismic Data Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Data Engineer (Remote)

Lancesoft

San Francisco, CA โ€ข On-site, Remote

$40 - $41/hr

Temporary

Posted 9 days ago


Job description


Description:
Lead Data Engineer -Data & AI, Supply Chain
Fully Remote
Rate: $40/hour
About the Role

Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.
Key Responsibilities
  • Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
  • Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Design robust and scalable data models that support analytical and operational reporting requirements.
  • Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
  • Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
  • Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.

Required Technical Skills
  • 4+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expert-level proficiency in:
oDataproc
oBigQuery
oSQL
odbt (Data Build Tool)
  • Strong understanding of modern ETL/ELT architecture and large-scale data processing.
  • Strong knowledge of data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
  • Experience building scalable and maintainable cloud-native data pipelines.
  • Experience with Git, CI/CD pipelines, and engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.
Preferred Technical Skills
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating enterprise data platforms with Apache Kafka or other streaming technologies.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and utility development.
  • Familiarity with data quality, metadata management, and data governance best practices.

Domain Experience (Highly Desirable)
Candidates with experience in one or more of the following areas will be strongly preferred:
  • Retail industry (Apparel)
  • Supply Chain data platforms
  • Transportation and Logistics
  • Warehouse Management Systems (WMS)
  • Distribution Center operations

Meet Your Recruiter
Vishwas BM

LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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