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Remote Seismic Data Processing Geophysicist Jobs in Oregon

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and ... Remote

Varsity Tutors

Earth Science Tutor

Portland, OR · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

Varsity Tutors

Earth Science Tutor

OR · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

Armada

Data Center Structural Engineer

OR · On-site +1

As we scale Modular Data Center (MDC) deployments across a wide range of seismic, wind, snow, and ... This role is remote-based (approximately 20-30% travel to project sites, fabricator, and vendor/GC ...

Varsity Tutors

Earth Science Tutor

Eugene, OR · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

... processes. As an accomplished data engineer joining the Data & Analytics team, this is a terrific ... This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ...

SOSi

Senior Data Scientist

OR · On-site +1

Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Netflix

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S ... This team is central to batch data processing in Data Platform. It provides support for Spark to ET ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Candidates will receive additional information during the interview and selection process. Position ...

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Designed and implemented frameworks, processes, and metrics for a data office/function within ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... At our core, we process massive amounts of data to give our clients a competitive edge. We track ...

Upstart

Senior Software Engineer - Lending Platform

OR · On-site +1

$122K - $161K/yr

Deliver scalable data processing solutions that transform high-volume financial events into ... Position location Remote Travel requirements As a digital-first company, the majority of your work ...

Upstart

Sr Software Engineer - Lending Platform

OR · On-site +1

$122K - $161K/yr

Deliver scalable data processing solutions that transform high-volume financial events into ... Position location Remote Travel requirements As a digital-first company, the majority of your work ...

ABC Legal Services

Remote Recruiter

OR · On-site +1

$55K - $58K/yr

ABC Legal Service is proud to be the national leader in service of process. We are a team of 1,000 ... Proficient in Excel, including data tools and formulas * Experience creating and maintaining ...

Hex Technologies

Software Engineer, Backend (Platform)

OR · On-site +1

$198K - $295K/yr

Deeply informed on industry trends around data processing, databases, and performant data ... Experience working in a remote-first team and strong communication skills in this context. This ...

Verve

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients

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Remote Seismic Data Processing Geophysicist information

What does a remote seismic data processing geophysicist do?

A Remote Seismic Data Processing Geophysicist specializes in analyzing seismic data, often from a remote location, to help interpret subsurface geological structures. They use advanced software and algorithms to process raw seismic signals collected during surveys, improving the quality and clarity of the data. Their work is crucial in industries such as oil and gas exploration, environmental studies, and earthquake research. By working remotely, they leverage digital tools to collaborate with teams and deliver results without being on-site.

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

To thrive as a Remote Seismic Data Processing Geophysicist, you need a strong background in geophysics, seismic interpretation, and quantitative analysis, usually supported by a relevant degree such as geophysics, geology, or physics. Proficiency with seismic processing software (e.g., ProMAX, Petrel, or SeisSpace), programming languages (such as Python or MATLAB), and experience with remote collaboration tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in interpreting complex datasets and reporting findings to multidisciplinary teams. These skills ensure accurate seismic data analysis, efficient remote collaboration, and effective contribution to exploration or monitoring projects.

What are some common challenges faced by remote seismic data processing geophysicists, and how can they be managed?

Remote Seismic Data Processing Geophysicists often encounter challenges such as managing large data sets, ensuring data quality, and troubleshooting processing software issues without on-site support. Effective communication with field teams and clients is crucial to clarify data requirements and resolve discrepancies quickly. Staying updated with the latest processing techniques and maintaining strong organizational skills help manage project deadlines and deliver accurate results. Collaboration tools and regular virtual meetings are commonly used to facilitate teamwork and overcome the limitations of remote work.

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For Remote Seismic Data Processing Geophysicist jobs in Oregon, the most frequently searched job titles are:

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Remote Seismic Data Processing Geophysicist jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Posted 29 days ago

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

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