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Remote Seismic Data Processing Jobs in Missouri (NOW HIRING)

Join a remote-first technology environment where high-quality data powers business growth and ... Monitor data entry processes for quality, compliance, and adherence to internal controls.

This role offers the opportunity to contribute to process improvements, optimize data management ... Flexible working hours and fully remote work environment. * Generous paid vacation and time off ...

Senior Data Analyst

Columbia, MO ยท 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 ...

Senior Data Analyst

Columbia, MO ยท 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 ...

... process large-scale datasets with minimal operational overhead. This hands-on position combines ... Working in a remote-first and highly collaborative environment, you will partner with engineering ...

$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 ...

Flexible remote working options within Europe, with the possibility of working from modern ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Location: Scott Air Force Base - Belleville, IL (This is not a remote position) * Security ... Create tools and scripts to automate data migration processes between Oracle and PostgreSQL.

Showing results 21-40

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?

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 are popular job titles related to Remote Seismic Data Processing jobs in Missouri? For Remote Seismic Data Processing jobs in Missouri, the most frequently searched job titles 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:
Infographic showing various Remote Seismic Data Processing job openings in Missouri as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manager, Data Solutions

Government Employees Health Association

Lees Summit, MO โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care.

G.E.H.A has one mission: To empower federal workers to be healthy and well.

The Data Solutions Manager leads a multifunctional team of Business Data Analysts and Data Engineers, setting strategic directions, establishing priorities, and ensuring high quality delivery of data solutions across the organization. This role provides technical and people leadership to drive data management, data modernization, and data sharing initiatives across both on-Prem and cloud environments. The manager ensures that data is curated, engineered, governed, and delivered in ways that meet evolving business needs.SKILLS

Primary Responsibilities

  • Team Leadership & Development - Lead, mentor, and coach a team of Business Data Analysts and Data Engineers; set direction, allocate resources, and cultivate a highperformance culture.
  • Accountability for Outcomes - Own team objectives, ensuring goals, processes, and delivery expectations are met consistently.
  • Data Extracts & Delivery - Oversee data curation, data pipelines, data extraction, and data sharing activities to ensure reliable, scalable, and timely delivery of data.
  • Policy & Process Ownership - Establish and maintain policies, procedures, and workflows for the Data Solutions team.
  • Architecture Partnership - Collaborate with Enterprise Architecture and Data Architecture to guide solution design and implementation, including new data platforms, storage environments, and modernization initiatives.
  • Data Warehouse Collaboration - Partner with the Data Warehouse team to support knowledge transfer and serve as a subject matter expert in warehouserelated decisions.
  • Data Governance Alignment - Work closely with Data Governance team to ensure adherence to data policies, standards, and stewardship practices.
  • Strategic Influence - Influence internal leaders on processes, timelines, and guidelines; ensure alignment with enterprise priorities.
  • CrossFunctional Relationship Building - Build and maintain strong relationships across departments, Data & Analytics, and Technology teams to understand strategic needs and deliver trusted data.

Education Requirements

  • Bachelor's degree in technical or computerrelated discipline from an accredited institution.
  • Additional years of qualifying experience may be considered in lieu of formal education.

Experience Requirements

  • 6+ years of managerial experience, leading technical or analytical teams.
  • 8+ years of experience in Data Management, including data analysis, data development, data sharing and governance.
  • 4-5 years of handson technical experience with SQL, ETL, and ELT development, Pipeline orchestration in SQL Server, Snowflake stack, Azure Data Factory, Azure blob storage.
  • Demonstrated understanding of Data Modeling, Data Warehouse and Analytics best practices.
  • Experience with SQL, Snowflake, and Azure technologies for data analysis and development.
  • Strong client and stakeholder management skills, including prioritization, negotiation and compromise.
  • Proven ability to manage demanding delivery timelines and competing priorities.
  • Effective verbal and written communication skills.
  • Strong organizational skills to manage schedules, inquiries, deadlines, and team coordination.
  • Experience creating automated data sharing frameworks.
  • Experience working with sensitive data (PII, PHI, confidential data) adhering to privacy and compliance policies.
  • Ability to lead teams in innovation and modern data management practices.
  • Ability to mentor and develop remote team members.
  • Strong ability to influence peers and leaders and build consensus in ambiguous environments.
  • Deep experience with Agile methodologies, Azure DevOps, CI/CD, and code promotion through a structured change management process.

Preferred Experience

  • 4+ years of experience in healthcare or a similarly regulated industry.
  • Experience with cloudbased data sharing and modern data exchange patterns.

Work-at-home requirements

  • Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office.

  • A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required.

  • Latency (ping) response time lower than 80 ms

  • Hotspots, satellite and wireless internet service is NOT allowed for this role.

  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

How we value you

  • Competitive pay/salary ranges

  • Incentive plan

  • Health/Vision/Dental benefits effective day one

  • 401(k) retirement plan: company match - dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution

  • Robust employee well-being program

  • Paid Time Off

  • Personal Community Enrichment Time

  • Company-provided Basic Life and AD&D

  • Company-provided Short-Term & Long-Term Disability

  • Tuition Assistance Program

While this is a remote opportunity, at this time G.E.H.A does not hire employees from U.S. territories or the following states: Alaska, Hawaii, California, Washington, Oregon, Colorado, Wyoming, Montana, New York, Connecticut, Vermont, Pennsylvania, Maine.

Please note that the salary information is a general guideline only. G.E.H.A considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

The target hiring range for this position is $143,708 - $181,800 USD. At G.E.H.A, the current maximum salary for this role is $202,577 USD. While initial compensation may vary based on experience and qualifications, there is a path to work toward this top rate through performance and continued growth within the organization.

G.E.H.A is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law. G.E.H.A will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees.

G.E.H.A is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.