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Remote Virtual Machine Jobs in Reston, VA (NOW HIRING)

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Experience developing production-grade machine-learning workflows, including model validation ...

Eliassen Group

DevOps Software Engineer

Gaithersburg, MD · Remote

$45 - $50/hr

Administer virtual machine lifecycles using VMware and KVM. * Manage package ecosystems such as RPM ... Onsite presence required; remote work not applicable. Education Requirements: * Bachelor's degree ...

Scout Solutions

Cloud Engineer

Reston, VA · On-site +1

$58 - $77.50/hr

Reston, VA (Hybrid) Schedule: 3 days in-office (Tues, Wed, Thurs) & 2 days remote (Mon, Fri) Job ... Key Responsibilities: • Oversee cloud services in Azure, including managing virtual machines ...

Ntiva

Service Desk Technician II

Mclean, VA · On-site +1

This is a remote position; however, team members should be willing and able to travel if the need ... Familiarity in navigating Hyper-V and VMware consoles to troubleshoot virtual machine storage and ...

Ntiva

Service Desk Technician II

Mclean, VA · Remote

This is a remote position; however, team members should be willing and able to travel if the need ... Familiarity in navigating Hyper-V and VMware consoles to troubleshoot virtual machine storage and ...

Ntiva

Service Desk Technician II

Mclean, VA · Remote

This is a remote position; however, team members should be willing and able to travel if the need ... Familiarity in navigating Hyper-V and VMware consoles to troubleshoot virtual machine storage and ...

Ntiva

Service Desk Technician II

Mclean, VA · On-site +1

This is a remote position; however, team members should be willing and able to travel if the need ... Familiarity in navigating Hyper-V and VMware consoles to troubleshoot virtual machine storage and ...

Ntiva

System Engineer (GovCon) Remote

Mclean, VA · On-site +1

THIS IS A REMOTE POSITION; however, team members should be willing and able to travel if the need ... Virtual machines, storage, RAID configurations, and host platforms * Administer and troubleshoot:

Ntiva

System Engineer (GovCon) Remote

Mclean, VA · Remote

THIS IS A REMOTE POSITION; however, team members should be willing and able to travel if the need ... Virtual machines, storage, RAID configurations, and host platforms * Administer and troubleshoot:

Econometrica

Senior SAS/Python Programmer

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Refactoring machine-generated code into production-quality, modular pipelines in modern cloud ...

Booz Allen Hamilton, Inc.

Test Engineer, Mid

Chantilly, VA · On-site +1

$62K - $141K/yr

... working with Virtual Machines (VMs) to create a virtual environment with a mix of VM types ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Test Engineer, Lead

Chantilly, VA · On-site +1

$99K - $225K/yr

... working with Virtual Machines (VM) to create a virtual environment with a mix of VM types ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Showing results 21-40

All JobsMachine JobsRemote Virtual Machine JobsRemote Virtual Machine Jobs in Reston, VA

Remote Virtual Machine information

See Reston, VA salary details

$15

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How much do remote virtual machine jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote virtual machine in Reston, VA is $22.19, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $23.75 per hour, depending on experience, location, and employer.

What is the difference between Remote Virtual Machine vs Cloud Engineer?

AspectRemote Virtual MachineCloud Engineer
CredentialsBasic knowledge of virtualization, Linux/Windows OSCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentRemote setup managing virtual machinesRemote or on-site managing cloud infrastructure
Industry UsageIT, data centers, virtualization servicesCloud service providers, enterprise IT
Search & ComparisonOften compared for virtualization rolesBroader cloud infrastructure roles

Remote Virtual Machine specialists focus on managing and configuring virtual machines remotely, often within data centers or virtualization platforms. Cloud Engineers design, deploy, and maintain cloud infrastructure across various platforms. While both roles involve remote work and technical skills, Cloud Engineers typically require cloud-specific certifications and broader cloud architecture knowledge, making them more versatile in cloud environments.

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Remote Virtual Machine jobs near you
Infographic showing various Remote Virtual Machine job openings in Reston, VA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 54% Physical, 2% Hybrid, and 44% Remote job distribution, with an average salary of $46,153 per year, or $22.2 per hour.

Data Scientist

Econometrica

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Job Title
Data Scientist
Job Type
Full-time
Location
Bethesda Office - Bethesda, MD 20814 US (Primary)
Remote (Virtual) - US - US
Travel
Job Description
About Econometrica, Inc.
Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.
The Opportunity
Econometrica is seeking an experienced Data Scientist to support advanced data analytics services for various Federal agencies. The selected candidate will work alongside a multidisciplinary team of data scientists, data engineers, and stakeholders to design, implement, and maintain fraud identification methods and communicate results to technical and non-technical stakeholders.
Tasks may include the following:
  • Designing, implementing, and maintaining advanced AI systems and predictive models to identify financial fraud, improper payments, or non-compliance.
  • Developing and testing regression, classification, Bayesian, clustering, and ensemble models to identify anomalies, patterns, and predictive variables within large, complex datasets.
  • Performing data quality analysis on source tables to identify abnormalities or inconsistencies and developing repeatable processes for efficiently combining and analyzing large, structured and unstructured data sources.
  • Collaborating closely with criminal investigators to determine and execute analytical strategies supporting fraud investigations, while adhering to federal rules of criminal procedure governing protected information.
  • Integrating and scaling natural language processing (NLP) techniques-including OCR, semantic similarity algorithms, and large language models-to parse, clean, and analyze large corpora of unstructured or semi-structured text.
  • Manipulating and preparing data using Python and Pandas, including aggregating, merging, partitioning, and reshaping datasets in preparation for machine learning workflows.
  • Developing visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models, and iteratively incorporating end-user feedback.
  • Documenting methodology, test models, and production models in compliance with evidentiary and recordkeeping requirements and preparing plain-language reports and executive summaries for both technical and non-technical audiences.
  • Working within modern cloud environments (Azure, AWS, or GCP) and coordinating with the Data Engineering team to ensure system architecture efficiently supports deployed machine learning models.
  • Creating programming and automation techniques (e.g., using Python, SQL, Power BI, Power Apps, and SharePoint) to improve analytic efficiency and expand the scope of analysis and reporting.

Education and Qualifications
Required Skills and Experience:
  • Five (5) or more years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised methods.
  • Five (5) or more years of hands-on experience developing analytic rules and models using leading-edge analytic tools and best practices.
  • Five (5) or more years of hands-on experience developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • Three (3) or more years of hands-on experience providing data support for criminal investigations into financial fraud or abuse of government funds.
  • Three (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.
  • Three (3) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).
  • Two (2) or more years of hands-on experience conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
  • Two (2) or more years of hands-on experience developing and scaling NLP solutions.
  • Two (2) or more years of hands-on experience presenting methods and findings to both technical and non-technical stakeholders, orally and in written products and visualizations.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Strong oral and written communication skills.
  • Ability to obtain and maintain public trust security clearance.

Desired Skills and Experience:
  • Experience integrating large language models (LLMs) and generative AI tools into analytics workflows.
  • Experience developing production-grade machine-learning workflows, including model validation, calibration, monitoring, versioning, retraining, and documentation.
  • Experience with Azure Synapse Analytics, Azure Machine Learning, and Azure Data Lake Storage.
  • Certifications in cloud architecture, data science, machine learning, or related disciplines (Azure preferred).
  • Experience creating Power BI dashboards, visualizations, network graphs, interactive maps, or other forms of analytical storytelling.
  • Experience working on projects in a consulting environment, particularly supporting audits, investigations, or federal law enforcement.

Additional requirements for the position could involve occasional travel relevant to the responsibilities noted above.
Education
Master's or doctorate-level degree in data science, machine learning, computer science, mathematics, or a related field; OR ten (10) years of applied work experience in one of the same fields.
Our Generous Benefits Package Includes:
  • Being part of a dynamic research group that continues to grow.
  • Company-sponsored healthcare plan and optional vision/dental coverage.
  • Excellent training and development opportunities.
  • Referral bonuses.
  • 401(k) program.
  • Organized social activities.
  • Metro SmartBenefits® Program.

Work Environment
This position is remote, though candidates may choose to work in Econometrica's office.
The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare. We have a typical office setting with a quiet to moderate noise level.
Physical Requirements
The physical requirements are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.
Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

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