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Remote Seismic Data Processing Geophysicist Jobs in Baltimore, MD

Data Engineer (Remote)

Baltimore, MD ยท Remote

$117K - $140K/yr

Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. * Collaborate with DevOps, analysts, and application developers to align ...

Earth Science Tutor

Baltimore, MD ยท 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 ...

Earth Science Tutor

Bowie, MD ยท 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 ...

Earth Science Tutor

Laurel, MD ยท 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 ...

Earth Science Tutor

College Park, MD ยท 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 ...

Senior Data Engineer | Emerging Products

Baltimore, MD ยท On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Experience with Databricks for large-scale data processing and analytics workloads. * Strong ...

Senior Data Engineer | Emerging Products

Baltimore, MD ยท On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Experience with Databricks for large-scale data processing and analytics workloads. * Strong ...

Sr. Data Steward

Baltimore, MD ยท On-site +1

$75K - $100K/yr

Gather, understand, and document enterprise data process requirements, functional requirements, and ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $75,000.00-$100,000.00 USD ...

Sr. Data Steward

Baltimore, MD ยท On-site +1

$75K - $100K/yr

Gather, understand, and document enterprise data process requirements, functional requirements, and ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $75,000.00-$100,000.00 USD ...

Research Scientist

Baltimore, MD ยท Remote

$120K - $150K/yr

Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ... Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar ...

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Remote Seismic Data Processing Geophysicist information

See Baltimore, MD salary details

$48.2K

$94.8K

$143.1K

How much do remote seismic data processing geophysicist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote seismic data processing geophysicist in Baltimore, MD is $94,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $111,300.00 per year, depending on experience, location, and employer.

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.

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 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.
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Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD โ€ข Remote

$117K - $140K/yr

Full-time

Posted 10 days ago


Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  • Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.