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Remote Seismic Data Processing Jobs in Missouri (NOW HIRING)

$88K - $106K/yr

Develop and manage AWS Lambda functions, Airflow workflows, and orchestration processes to ensure ... Fully remote working opportunity across eligible locations. * Flexible working environment designed ...

$37.75 - $51/hr

Solid understanding of distributed cloud-based systems and large-scale data processing environments ... Fully remote-first working environment promoting flexibility and work-life balance. * Opportunity ...

Manage CRM-related database activities, including data updates, receipt processing, and system ... Flexible remote work environment. * Opportunity to support mission-driven organizations and ...

... specialized domain review processes is beneficial. Benefits * Fully remote position with ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

... processing solutions is highly desirable. * Excellent analytical thinking, problem-solving ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

$81K - $111K/yr

Working in a fully remote, high-growth environment, you will design scalable data platforms that ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

$112K - $148K/yr

Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies * Optimize data performance, scalability, and cost efficiency ...

Build and enhance APIs, data processing workflows, and system-to-system communication * Ensure ... Ability to work independently in a remote environment while maintaining clear communication and ...

... remote environment focused on innovation, efficiency, and continuous improvement. Accountabilities * Manage the full-cycle recruitment process for technical positions, with a strong focus on Data, AI ...

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

We're hiring a Senior Data Analys t to support our Corporate Headquarters in Columbia, MO and we're ... our processes and enhance overall efficiency. This position is fully remote. Primary ...

Establish processes that improve data quality, accessibility, and the overall effectiveness of the ... Benefits: * Remote-first work environment with flexibility to work from anywhere in the world.

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Remote Seismic Data Processing information

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, and why are they important?

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.

What are the most commonly searched types of Seismic Data Processing jobs in Missouri? The most popular types of Seismic Data Processing jobs in Missouri are:
What job categories do people searching Remote Seismic Data Processing jobs in Missouri look for? The top searched job categories for Remote Seismic Data Processing jobs in Missouri are:
What cities in Missouri are hiring for Remote Seismic Data Processing jobs? Cities in Missouri with the most Remote Seismic Data Processing job openings:

$88K - $106K/yr

Full-time

Posted 21 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in Netherlands.

This role offers the opportunity to build and optimize a modern data platform that powers marketing intelligence, customer insights, and revenue growth across global products. As a Data Engineer, you will design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value. You will work across the full data lifecycle, from ingestion and transformation to activation and analytics, collaborating with engineering and business teams in a fast-moving technology environment. The position combines hands-on technical challenges with opportunities to influence architecture, data quality, and automation practices. You will use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions at scale.

Accountabilities:
  • Build and maintain robust data ingestion pipelines from various sources, including REST APIs, SFTP, and database replication systems into cloud data platforms.
  • Develop and optimize data transformation workflows using dbt, following structured bronze, silver, and gold layer modeling practices.
  • Design and maintain data models supporting identity resolution, customer segmentation, attribution, and marketing activation use cases.
  • Build integrations with external marketing platforms and services, enabling data synchronization, campaign delivery, and feedback collection.
  • Develop and manage AWS Lambda functions, Airflow workflows, and orchestration processes to ensure reliable data operations.
  • Implement data quality checks, monitoring, alerting, and validation frameworks to maintain accuracy and trust in business-critical datasets.
  • Manage cloud infrastructure and data platform components using infrastructure-as-code practices with Terraform.
  • Investigate and resolve data incidents, including pipeline failures, quality issues, and sensitive data exposure risks.
  • Contribute to continuous improvement of engineering practices, automation, documentation, and scalable data architecture.
Requirements
  • 4+ years of professional experience designing, developing, and deploying production-grade data pipelines using Python.
  • Strong expertise in SQL development, including complex queries, optimization techniques, and performance tuning in cloud data environments.
  • Hands-on experience with Snowflake, including data loading, external stages, security controls, warehouses, and optimization practices.
  • Strong experience with dbt Core for data transformation, testing, incremental models, and analytics engineering workflows.
  • Solid understanding of data warehouse design principles, including dimensional modeling, star and snowflake schemas, facts, dimensions, and slowly changing dimensions.
  • Experience designing conceptual, logical, and physical data models.
  • Proven experience building and operating ETL/ELT pipelines using Airflow or similar orchestration tools.
  • Familiarity with modern AI-assisted development workflows and daily use of AI coding tools for development, debugging, and code review.
  • Knowledge of AWS services such as S3, Lambda, IAM, and EventBridge, along with Terraform and CI/CD practices.
  • Experience with Git, Docker, data quality frameworks, and data lineage practices is highly valued.
  • Strong problem-solving skills, attention to detail, and ability to work effectively in a remote, collaborative engineering environment.
  • Experience with streaming technologies, marketing platform integrations, or iGaming-related products is considered a plus.
Benefits
  • Opportunity to work on scalable, high-impact products within a growing technology environment.
  • Fully remote working opportunity across eligible locations.
  • Flexible working environment designed to support autonomy and work-life balance.
  • Competitive salary package with performance-based incentives.
  • Exposure to modern cloud technologies, data architecture patterns, and AI-powered engineering workflows.
  • Collaborative and supportive team culture with opportunities for professional growth and technical development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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