ZipRecruiter

Log In

2

Remote Defense Contractor Software Engineer Jobs in Spring, TX

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 ... Apply software engineering best practices including testing, version control, and documentation

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 ... Apply software engineering best practices including testing, version control, and documentation

SynMax

Senior Full-Stack Engineer

Houston, TX · Remote

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

micro1 AI

AI Code Evaluator - SecOps & Systems

Houston, TX · Remote

$40 - $75/hr

Software Engineering Job Type: Contractor (10-15 hours per week) Location: Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems ...

next page

Showing results 1-20

All JobsRemote Defense Contractor Software Engineer JobsRemote Defense Contractor Software Engineer Jobs in Spring, TX

Remote Defense Contractor Software Engineer information

See Spring, TX salary details

$56.5K

$131.3K

$182.9K

How much do remote defense contractor software engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote defense contractor software engineer in Spring, TX is $131,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Defense Contractor Software Engineer, and why are they important?

To excel as a Remote Defense Contractor Software Engineer, you typically need a strong background in computer science or engineering, proficiency in programming languages like C++ or Java, and active security clearance. Familiarity with secure coding practices, embedded systems, and tools such as Git, Jira, and specialized defense software development environments is crucial. Excellent problem-solving, communication, and self-motivation are standout soft skills for remote collaboration and meeting strict project requirements. These competencies ensure secure, reliable software delivery and effective teamwork in sensitive, mission-critical defense projects.

Does Lockheed Martin hire remote workers?

Lockheed Martin, including roles like Remote Defense Contractor Software Engineer, primarily hires for on-site positions, but some roles may offer remote or hybrid work options depending on the project and department. Candidates should review specific job postings for remote work availability and requirements such as security clearances and specialized skills.

What is the difference between Remote Defense Contractor Software Engineer vs Remote Cybersecurity Software Engineer?

AspectRemote Defense Contractor Software EngineerRemote Cybersecurity Software Engineer
Required CredentialsBachelor's in CS or related, security clearances often preferredBachelor's in CS, Cybersecurity, or related; certifications like CISSP beneficial
Work EnvironmentDefense contractors, government projects, secure facilitiesTech companies, security firms, government agencies
Employer & Industry UsagePrimarily defense and military sectorsPrimarily cybersecurity and IT sectors
Common Search & ComparisonOften compared for security clearance and defense projectsCompared for network security and threat mitigation roles

The Remote Defense Contractor Software Engineer typically works on defense and military projects requiring security clearances, while the Remote Cybersecurity Software Engineer focuses on protecting networks and systems from cyber threats. Both roles require strong technical skills, but their industries and project types differ significantly.

What engineers make $300,000 a year?

Senior defense contractor software engineers, especially those with expertise in cybersecurity, embedded systems, or specialized defense technologies, can earn $300,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in high-security or classified environments.

How does a Remote Defense Contractor Software Engineer typically collaborate with team members and stakeholders given security and communication constraints?

Remote Defense Contractor Software Engineers often work with multidisciplinary teams, including developers, project managers, and cybersecurity specialists. Collaboration is facilitated through secure, government-approved communication platforms and version control systems that comply with strict security protocols. Regular virtual meetings and documentation are essential to ensure alignment on project requirements and updates. While remote work offers flexibility, engineers must be diligent in following procedures for handling sensitive information and may sometimes need to access secure facilities for classified work. Effective communication and adaptability are key to overcoming the challenges of working in a highly regulated, remote environment.

What is a Remote Defense Contractor Software Engineer?

A Remote Defense Contractor Software Engineer is a software developer who works for a company contracted by government defense agencies to build, maintain, or secure software systems, but does their work from a remote location instead of a traditional office or on-site facility. These engineers often develop applications for military or national security use, which can include communication systems, cybersecurity tools, or mission-critical platforms. Due to the sensitive nature of their work, they may require special security clearances and must adhere to strict security protocols even while working remotely.

What engineer makes $500,000 a year?

A remote defense contractor software engineer with extensive experience, specialized skills in cybersecurity or defense systems, and often security clearances can earn $500,000 or more annually. Such high salaries typically reflect seniority, leadership roles, or involvement in highly sensitive projects within the defense industry.

How much do CIA software engineers make?

CIA software engineers typically earn salaries comparable to federal government pay scales, often ranging from $80,000 to over $150,000 annually depending on experience, education, and security clearance level. Compensation may also include benefits such as health insurance, retirement plans, and bonuses for specialized skills like cybersecurity or cryptography.
What are popular job titles related to Remote Defense Contractor Software Engineer jobs in Spring, TX? For Remote Defense Contractor Software Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Defense Contractor Software Engineer jobs in Spring, TX look for? The top searched job categories for Remote Defense Contractor Software Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Defense Contractor Software Engineer jobs? Cities near Spring, TX with the most Remote Defense Contractor Software Engineer job openings:
Remote Defense Contractor Software Engineer jobs near you

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Full-time

Posted 15 days ago

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