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Remote Geophysical Data Processor Jobs in Dallas, TX

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets. * Distributed Systems Expertise : Leverage ...

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Ensure data integrity and accuracy by implementing validation checks and cleansing processes.

1 point system

BI/Data Analyst

Dallas, TX · Remote

BI/Data Analyst Location: Remote (TX, GA, ID, OR, SC, WA) Duration: 6+ Months Contract Interview Type: Video Required Skills: * Source to target mapping - process and documentation * Strong SQL ...

NTT DATA Services

Claims Examiner Remote

Plano, TX · On-site +1

NTT DATA is seeking to hire a Remote Claims Processing Associate to work for our end client and their team. In this Role the candidate will be responsible for: • Processing of Professional claim ...

NTT DATA Services

Claims Examiner Remote

Plano, TX · On-site +1

NTT DATA is seeking to hire a Remote Claims Processing Associate to work for our end client and their team. In this Role the candidate will be responsible for: • Processing of Professional claim ...

IT America Inc

Data Architect

Dallas, TX · Remote

$65.25 - $84/hr

Remote Duration: Long term contract Job Summary: We are seeking a Data Architect to establish and ... Provide appropriate governance to data design processes. * Work throughout the entire Development ...

NTT DATA Services

Claims Examiner Remote

Plano, TX · On-site +1

NTT DATA is seeking to hire a Remote Claims Processing Associate to work for our end client and their team. In this Role the candidate will be responsible for: Processing of Professional claim forms ...

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All JobsGeophysical Data Processor JobsRemote Geophysical Data Processor JobsRemote Geophysical Data Processor Jobs in Dallas, TX

Remote Geophysical Data Processor information

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$12

$20

$34

How much do remote geophysical data processor jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote geophysical data processor in Dallas, TX is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.12 per hour, depending on experience, location, and employer.

What is the difference between Remote Geophysical Data Processor vs Geophysical Data Analyst?

AspectRemote Geophysical Data ProcessorGeophysical Data Analyst
CredentialsTypically requires geophysical or geology-related certifications, technical training in data processingRequires similar certifications, often with additional analytical or statistical qualifications
Work EnvironmentPrimarily remote, working with geophysical data sets from various sourcesOften remote or on-site, analyzing geophysical data to interpret results
Industry UsageCommon in oil & gas, environmental, and mineral exploration companiesUsed across energy, environmental consulting, and research sectors

The Remote Geophysical Data Processor focuses on processing raw geophysical data using specialized software, while the Geophysical Data Analyst interprets processed data to provide insights. Both roles require technical skills and industry knowledge, but their core responsibilities differ in data handling versus analysis and interpretation.

What are popular job titles related to Remote Geophysical Data Processor jobs in Dallas, TX?

For Remote Geophysical Data Processor jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Geophysical Data Processor jobs in Dallas, TX look for?

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Cities near Dallas, TX with the most Remote Geophysical Data Processor job openings:

Remote Geophysical Data Processor jobs near you

AWS Data Engineer - Fully Remote - US Only

Scalepex

Plano, TX • On-site, Remote

$109K - $131K/yr

Full-time

Re-posted 3 days ago

Job description

❋ Why Scalepex?
Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.
❋ Take your portfolio to the next level by working with one of our fastest growing clients.
Join the Innovation Frontier at Scalepex!
About the Role
We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.
Key Responsibilities
  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements
Required Qualifications
  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.

  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role

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