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Remote Seismic Data Processing Geophysicist Jobs in Rochester, MI

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Varsity Tutors

Earth Science Tutor

Detroit, MI · Remote

$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 ...

Cavnue

Senior Software Engineer - Core

Detroit, MI · Remote

$121.30K - $159.90K/yr

Experience with high-throughput data processing techniques and integrated build systems like Buck2 ... Remote - $150,000 - $195,000 Additional Compensation: The successful candidate may be eligible to ...

OneStream Software

Senior Remote Consultant

Birmingham, MI · Remote

$120K - $149.75K/yr

Troubleshooting data discrepancies and analysis of consolidated data, customer issues, member ... Building reports, security models, custom dashboards, and custom event processes * Assist during ...

OneStream Software

Senior Remote Consultant

Rochester, MI · Remote

$120K - $149.75K/yr

Troubleshooting data discrepancies and analysis of consolidated data, customer issues, member ... Building reports, security models, custom dashboards, and custom event processes * Assist during ...

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$44.6K

$87.8K

$132.5K

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

As of May 30, 2026, the average yearly pay for remote seismic data processing geophysicist in Rochester, MI is $87,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $103,100.00 per year, depending on experience, location, and employer.

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

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.

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 popular job titles related to Remote Seismic Data Processing Geophysicist jobs in Rochester, MI? For Remote Seismic Data Processing Geophysicist jobs in Rochester, MI, the most frequently searched job titles are:
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Remote Seismic Data Processing Geophysicist jobs near you
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 10 days ago

Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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