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Remote Data Collection Driver Jobs in Germantown, MD

Marketing Data Analyst II

VA · Remote

$89K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

Marketing Data Analyst II

Herndon, VA · Remote

$89K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

Marketing Data Analyst II

Washington, DC · Remote

$97K - $121K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

Collection Orchestration

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Collection ... data flows, and integration efforts operate cohesively across the enterprise. Qualifications ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various ...

Showing results 21-40

Remote Data Collection Driver information

See Germantown, MD salary details

$16

$25

$32

How much do remote data collection driver jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data collection driver in Germantown, MD is $25.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $26.25 per hour, depending on experience, location, and employer.

What is a remote data collection driver?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a remote data collection driver?

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.

What are some common challenges faced by remote data collection drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What job categories do people searching Remote Data Collection Driver jobs in Germantown, MD look for?

The top searched job categories for Remote Data Collection Driver jobs in Germantown, MD are:

What cities near Germantown, MD are hiring for Remote Data Collection Driver jobs?

Cities near Germantown, MD with the most Remote Data Collection Driver job openings:

Infographic showing various Remote Data Collection Driver job openings in Germantown, MD as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $53,194 per year, or $25.6 per hour.

Mid-Level Monitoring & Evaluation Specialist, DOS/EAP

Dexis

Washington, DC • On-site, Remote

Full-time

Posted 7 days ago


Job description

About the Position

Dexis is seeking a Mid-Level Monitoring and Evaluation Specialist to provide embedded MEL support to the Department of State Bureau of East Asian and Pacific Affairs. The specialist will support monitoring, evaluation, research, data analysis, reporting, program and project design, and learning activities across a diverse portfolio of foreign-assistance programs. The position will work as part of multidisciplinary teams supporting EAP/RASP, Operating Units, and Posts and will contribute to accurate, timely, and decision-ready products that help improve program performance and accountability.

This position is contingent upon award.

Responsibilities
  • Support the design and implementation of monitoring, evaluation, assessment, and research activities.
  • Develop and update MEL plans, indicators, PIRS, results frameworks, and performance-tracking tables.
  • Develop surveys, interview guides, focus-group protocols, observation checklists, and other data-collection instruments.
  • Conduct desk reviews, interviews, surveys, site visits, and qualitative and quantitative analysis.
  • Conduct data-quality assessments and recommend improvements to data collection, management, and reporting.
  • Assist in preparing evaluation reports, assessment reports, dashboards, infographics, presentations, and other knowledge products.
  • Support program and project design, including theories of change, logic models, results frameworks, and learning agendas.
  • Provide technical and logistical support for workshops, training, and learning events.
  • Coordinate with EAP personnel, Posts, implementing partners, local consultants, and technical SMEs.
  • Track assigned activities and deliverables and manage multiple tasks and deadlines.
Minimum Qualifications 
  • Master's degree or equivalent and at least five years of relevant professional experience, or bachelor's degree and at least seven years of relevant professional experience.
  • At least three years of professional MEL experience, including data collection and analysis.
  • At least four years of experience managing complex projects requiring strong interpersonal, writing, analytical, and problem-solving skills.
  • Proficiency in Excel, SPSS, Stata, or similar data-analysis tools.
  • Strong organizational and project-management skills.
  • Excellent written and oral communication skills in English.
  • Active Secret Clearance. 
Preferred Qualifications 
  • Experience supporting Department of State or other U.S. Government foreign-assistance programs.
  • Experience in East Asia, Southeast Asia, or the Pacific Islands.
  • Familiarity with 18 FAM 301.4, Section 508, and Department reporting requirements.
  • Experience supporting multiple concurrent MEL activities.
  • Experience with dashboards, data visualization, GIS, TPM, or remote monitoring.
  • Experience supporting dispersed or restricted-access operating environments.