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Remote Data Research Jobs in Virginia (NOW HIRING)

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Conduct cloud-based data research and large-scale data processing. * Collaborate with engineering ...

CX Research Analyst

Mclean, VA · Remote

$105K - $120K/yr

Analyze product and service performance data to evaluate customer experience, identify trends, and ... Travel Requirements This is a remote position; however, occasional travel may be required based on ...

CX Research Analyst

Mclean, VA · On-site +1

$105K - $120K/yr

Analyze product and service performance data to evaluate customer experience, identify trends, and ... Travel Requirements This is a remote position; however, occasional travel may be required based on ...

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

... using remote sensing methodologies, on data from a range of airborne and space-based imaging ... Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense ...

Showing results 41-60

Remote Data Research information

See Virginia salary details

$9

$33

$76

How much do remote data research jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote data research in Virginia is $33.59, according to ZipRecruiter salary data. Most workers in this role earn between $16.60 and $45.12 per hour, depending on experience, location, and employer.

What is a remote data research?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the typical daily responsibilities of a remote data research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What are the key skills and qualifications needed to thrive in remote data research, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

What are the most commonly searched types of Data Research jobs in Virginia?

The most popular types of Data Research jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Research jobs?

Cities in Virginia with the most Remote Data Research job openings:

Infographic showing various Remote Data Research job openings in Virginia as of August 2026, with employment types broken down into 44% Internship, and 56% Full Time. Highlights an 100% Remote job distribution, with an average salary of $69,877 per year, or $33.6 per hour.

Software Engineer

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Software Engineer
Location: Remote / Alexandria, VA
Clearance: Active TS/SCI or eligibility to be cleared
GeoDelphi, Inc. dba Whitespace is building Iris, a trust-first Agentic AI platform for global leaders. Recognized as one of the most innovative companies in the geospatial industry, Whitespace accelerates speed-to-answer through powerful analytics, high-cadence data feeds, geospatial intelligence, and expert-machine teaming. Our mission is to transform commercial data into actionable intelligence that keeps pace with world events and delivers decision advantage to our customers.
Position Overview
Whitespace is seeking a highly motivated Software Engineer, with geospatial analysis experience, to join our engineering and analytics team. This role combines software engineering, geospatial data science, and advanced analytics to support mission-critical programs including Tactical Surveillance, Reconnaissance, and Tracking (TacSRT).
The ideal candidate is a full-stack problem solver who can design scalable software systems, build data pipelines, perform geospatial analysis, and develop analytic capabilities that transform large volumes of commercial and geospatial data into actionable intelligence.
You will work closely with software engineers, data scientists, analysts, and customer stakeholders to develop innovative solutions that support national security, operational planning, and strategic decision-making. This position will report to the VP of Engineering.
This position is 100% remote! It also requires 15% travel to the corporate and customer locations. In addition, there may be occasional weekend work required. The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.
Requirements
RESPONSIBILITIES
Software Engineering
  • Design, develop, test, deploy, and maintain scalable software solutions supporting the Whitespace Answers Platform and Iris AI ecosystem.
  • Build backend services, APIs, data pipelines, and analytic applications using modern software engineering practices.
  • Write clean, efficient, maintainable, and testable code primarily using Python and Java.
  • Collaborate across Agile teams to develop technical solutions for complex geospatial and data-centric challenges.
  • Participate in software releases, code reviews, CI/CD pipelines, and DevOps processes.
  • Improve existing applications through performance optimization, automation, and architecture enhancements.
  • Provide technical consultation and troubleshooting support for software and infrastructure issues.

Geospatial Data Science & Analytics
  • Collect, integrate, clean, and analyze large-scale geospatial and non-geospatial datasets.
  • Develop and implement statistical models, machine learning workflows, and geospatial analytics solutions.
  • Design and maintain scalable data processing pipelines for structured and unstructured data.
  • Identify trends, anomalies, patterns, and insights within commercial and geospatial datasets.
  • Develop interactive visualizations and mission-focused analytic products for customer stakeholders.
  • Conduct cloud-based data research and large-scale data processing.
  • Collaborate with engineering, R&D, and mission teams to develop new analytic capabilities and data products.
  • Support intelligence, targeting, collection management, geospatial analysis, and activity-based intelligence initiatives.

EXPERIENCE
  • Must have a minimum of 7 years of experience in a software engineering role
  • Experience in designing, building, scaling, and maintaining production software
  • Strong coding abilities emphasizing quality and testability in your work.
  • Utilize programming languages such as Java, Python, and Go
  • Strong understanding of DevOps and software/application development processes
  • Demonstrated experience with continuous integration and software CM processes/tools (GitLab, JIRA, Confluence, Kubernetes, or other DevOps/Continuous Integration tools)
  • Experience with SQL and NoSQL databases and query optimization
  • Experience acquiring client requirements and resolving workflow problems through automation optimization

DESIRED SKILLS
  • Experience with AWS, Azure, or Google Cloud.
  • Experience building geospatial web applications and APIs.
  • Experience with machine learning and predictive analytics.
  • Experience using geospatial Python libraries such as: GeoPandas
  • Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS.
  • Experience with satellite imagery, remote sensing, GEOINT, or commercial geospatial data.
  • Experience with population simulation, activity-based intelligence, or modeling and simulation.
  • Experience with Spark, Hadoop, Athena, EMR, BigQuery, or other large-scale data processing platforms.
  • Experience with data visualization tools such as Tableau, Power BI, Kepler.gl, Deck.gl, or custom Python visualizations.
  • Knowledge of intelligence analysis, collection management, targeting, or military operations.
  • GEOINT Professional Certification (GPC) or related certifications.

Benefits
GEODELPHI BENEFITS
  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan