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Remote Mathematical Engineer Jobs in Chantilly, VA

DevSecOps Engineer

Herndon, VA ยท Remote

$54 - $74/hr

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Mathematics, Engineering ... Remote (Herndon, VA)

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Master's or PhD in Quantum Computing, Physics, Computer Science, Cryptography, Mathematics, or ... Expertise in quantum programming languages and frameworks such as Qiskit (IBM), Cirq (Google ...

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Salesforce Health Cloud Sr. Developer

Washington, DC ยท Remote

$128K - $157K/yr

Senior Salesforce Health Cloud Developer (Remote) Must live in one of the following states: AZ, AK ... Bachelor's Degree in Business Administration, Computer Science, Mathematics, Engineering, or a ...

Senior Data Engineer

Mclean, VA ยท Remote

$107K - $145K/yr

Built for a remote life Our culture, communications, and tools are built for remote work, enabling ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related ...

Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ... Advanced degree in Electrical Engineering, Mathematics, Physics, or a related field * Experience ...

IoT / Edge Software Engineer

Bethesda, MD ยท On-site +1

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE ... Bachelor's degree in a quantitative field such as engineering or mathematics (e.g., Electrical ...

GIS Database Engineer

Vienna, VA ยท Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description Overview SAIC is hiring a Database Engineer ... Bachelor's in CS, Math, GIS, or STEM. Desired Qualifications * Experience with ArcGIS Enterprise ...

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Remote Mathematical Engineer information

See Chantilly, VA salary details

$37.4K

$109.8K

$140.8K

How much do remote mathematical engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote mathematical engineer in Chantilly, VA is $109,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $139,200.00 per year, depending on experience, location, and employer.

What is a remote mathematical engineer?

A Remote Mathematical Engineer is a professional who applies advanced mathematical theories, techniques, and computational methods to solve complex problems in various fields, such as engineering, finance, technology, and data science, while working from a remote location. They often develop algorithms, create mathematical models, and analyze data to support decision-making or product development. Remote roles allow these engineers to collaborate with teams and clients online, using specialized software and communication tools. This position typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote mathematical engineer?

To thrive as a Remote Mathematical Engineer, you need a strong background in advanced mathematics, problem-solving, and programming, typically with a degree in mathematics, engineering, or a related field. Familiarity with tools like MATLAB, Python, R, and mathematical modeling software, as well as experience with version control systems such as Git, is important. Strong analytical thinking, self-motivation, and effective remote communication skills help you excel in collaborative and independent work environments. These competencies ensure you can develop, implement, and communicate complex mathematical solutions for real-world problems while effectively collaborating across distributed teams.

How do remote mathematical engineers typically collaborate with cross-functional teams while working from different locations?

Remote Mathematical Engineers often work closely with software developers, data scientists, and project managers using collaborative tools like video conferencing, shared code repositories, and project management platforms. Regular virtual meetings help ensure alignment on project goals and allow for real-time problem-solving. Effective communication and documentation skills are essential, as much of the collaboration happens asynchronously. Building strong relationships with team members and proactively sharing progress updates are key to thriving in this remote, team-oriented environment.

What is the difference between Remote Mathematical Engineer vs Remote Data Scientist?

AspectRemote Mathematical EngineerRemote Data Scientist
Required CredentialsMathematics, Engineering, or related technical degrees; strong analytical skillsStatistics, Computer Science, or related degrees; data analysis expertise
Work EnvironmentCollaborates with engineering teams on algorithm development and modelingAnalyzes data to extract insights, builds predictive models
Employer & Industry UsageTech, finance, aerospace, research institutionsTech companies, finance, healthcare, consulting
Search & Comparison IntentFocuses on mathematical modeling and engineering solutionsFocuses on data analysis and machine learning applications

Remote Mathematical Engineers primarily develop mathematical models and algorithms for engineering problems, often working closely with technical teams. Remote Data Scientists analyze large datasets to generate insights and predictive models. While both roles require strong analytical skills and technical backgrounds, their focus areas differ: engineering solutions versus data analysis.

What are popular job titles related to Remote Mathematical Engineer jobs in Chantilly, VA?

For Remote Mathematical Engineer jobs in Chantilly, VA, the most frequently searched job titles are:

What job categories do people searching Remote Mathematical Engineer jobs in Chantilly, VA look for?

The top searched job categories for Remote Mathematical Engineer jobs in Chantilly, VA are:

Infographic showing various Remote Mathematical Engineer job openings in Chantilly, VA as of August 2026, with employment types broken down into 9% Internship, 74% Full Time, 7% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $109,835 per year, or $52.8 per hour.

DevSecOps Engineer

ShorePoint

Herndon, VA โ€ข Remote

$54 - $74/hr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


Job description

Who we are:


ShorePoint is a fast-growing, industry recognized and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a “work hard, play hard” mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers. We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion and a focus on giving back to our community.  


The Perks:


As recognized members of the Cyber Elite, we work together in partnership to defend our nation’s critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individuals technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for. In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 18 days of PTO, 11 holidays, 80% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement and more.


Who we’re looking for:


We are seeking a DevSecOps Engineer with hands-on experience supporting cloud-based cybersecurity data systems in fast-paced public sector environments. The ideal candidate will drive operational excellence by engineering, operating and monitoring distributed data infrastructure in collaboration with data engineers, architects and security analysts. The DevSecOps Engineer role offers a unique opportunity to contribute to government cyber data modernization through observability, automation and DevOps practices. This is a unique opportunity to shape the growth, development and culture of an exciting and fast-growing company in the cybersecurity market.


What you’ll be doing:


  • Provide operational engineering support for cyber data systems in government cloud environments.
  • Build and integrate IT best practices and operational excellence into all areas of the project.
  • Ensure system availability by building observability into large, distributed cybersecurity data infrastructures.
  • Develop and maintain systems to monitor data ingestion and storage pipelines.
  • Produce dashboards and reports to inform stakeholders on operational metrics, system status, performance and capacity.
  • Operate, administer and maintain cloud-based infrastructure and platform services.
  • Collaborate in an Agile DevOps team using continuous integration and delivery (CI/CD) tools and practices.
  • Communicate effectively with team members and maintain documentation for technical procedures.


What you need to know:


  • DevOps Infrastructure-as-Code tools such as Terraform, Helm, Ansible, Git and CI/CD pipelines.
  • System automation languages such as Python, Bash and use of editors like VSCode.
  • IT operations and troubleshooting, including resolving issues related to data connections and sources.
  • System maintenance tasks such as patching and vulnerability management.
  • Implementation of IT best practices, including ITIL, change management and configuration management.
  • Advanced Linux systems administration and performance tuning.
  • AWS cloud services including EKS, VPC, EC2, IAM, Config, SecurityHub and AWS CLI usage.
  • Configuration and monitoring using Elasticsearch, Splunk, Grafana and other time-series data platforms.


Must have’s:


  • 5+ years of experience operating and maintaining large-scale IT systems or supporting system/application integration.
  • Proven ability to analyze ambiguous requirements and translate them into clear, actionable tasks and processes through critical thinking.
  • Proficiency in administering Linux operating systems.
  • Proficiency in Kubernetes via the command line.
  • Experience querying APIs to extract and use performance metrics.
  • AWS cloud experience, including AWS CLI, Config, Secrets Manager and SecurityHub.
  • Intermediate proficiency in Python programming (e.g., AWS Lambda, Boto3 and requests).
  • Experience with infrastructure automation tools such as Ansible, Helm and Terraform.
  • Must be a U.S. citizen and eligible to obtain and maintain a security clearance, in compliance with federal contract requirements.


Beneficial to have:


  • Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Mathematics, Engineering or a related field.
  • Familiarity with government cloud environments.
  • Knowledge of cyber data analytics.
  • Experience with distributed systems integration.
  • Intermediate networking experience (e.g., DNS, ports, firewalls, VPC networking).
  • Understanding of information security principles.
  • Familiarity with Elastic infrastructure and observability.
  • Familiarity with Kafka infrastructure management, deployment and monitoring.


Where it’s done:


  • Remote (Herndon, VA).