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Remote Space Weather Jobs (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Integrate heterogeneous datasets, including field data, management data, soil data, and weather ...

L3Harris Technologies

Lead Program Manager

Wilmington, MA · On-site +1

$125K - $232K/yr

Join our dynamic team to support missions of national significance, including Space Domain Awareness, Missile Warning and Defense, Science and Weather, and Remote Sensing for commercial and ...

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All JobsRemote Space Weather Jobs

Remote Space Weather information

See salary details

$83.5K

$127K

$171K

How much do remote space weather jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote space weather in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

Remote space weather analysts or specialists can potentially earn $10,000 or more per month through freelance consulting, contract work, or specialized roles in the aerospace industry, often requiring expertise in data analysis, programming, and understanding of space phenomena. These positions typically rely on skills and experience rather than formal degrees and may involve working independently or for companies in the space sector.

What jobs pay $2000 a day?

High-paying roles related to remote space weather, such as senior astrophysicists, space weather consultants, or specialized data scientists, can sometimes earn $2000 or more per day, especially with advanced expertise, certifications, and experience. These positions often require a strong background in physics, astronomy, or related fields, along with access to specialized tools and research environments.

Are any SpaceX jobs remote?

SpaceX primarily offers on-site roles, especially in engineering, manufacturing, and operations. However, some positions in software development, project management, and administrative support may be available remotely, depending on the role and team needs. Candidates should review specific job postings for remote work options and requirements.

Can you be a meteorologist and work from home?

Remote space weather meteorologists analyze solar activity and geomagnetic data, often using specialized software and data sources from home. While some roles allow remote work, others may require on-site presence for data collection or collaboration, depending on the employer and job requirements.

What is the difference between Remote Space Weather vs Remote Space Weather Analyst?

AspectRemote Space WeatherRemote Space Weather Analyst
Required CredentialsBachelor's in space science, physics, or related field; certifications like SWx or NOAA trainingSame as Remote Space Weather, often with additional analytical certifications
Work EnvironmentRemote, often from home or satellite officesRemote, typically working with data analysis teams and clients
Employer & Industry UsageSpace agencies, satellite operators, research institutionsSpace agencies, aerospace companies, government agencies
Search & Comparison IntentUnderstanding roles in space weather forecastingComparing job responsibilities and qualifications

Remote Space Weather involves monitoring and forecasting space weather phenomena, while Remote Space Weather Analyst focuses on analyzing data and providing insights. Both roles require similar credentials and work environments, but the analyst role emphasizes data interpretation and reporting.

More about Remote Space Weather jobs
What cities are hiring for Remote Space Weather jobs? Cities with the most Remote Space Weather job openings:
What are the most commonly searched types of Space Weather jobs? The most popular types of Space Weather jobs are:
What states have the most Remote Space Weather jobs? States with the most job openings for Remote Space Weather jobs include:
What job categories do people searching Remote Space Weather jobs look for? The top searched job categories for Remote Space Weather jobs are:
Remote Space Weather jobs near you
Infographic showing various Remote Space Weather job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling.

  • Develop and maintain cloud-based infrastructure and data storage solutions to support modeling pipelines and optimization workflows.

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements.

Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva’s ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor’s or Master’s degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

Apply