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Remote Data Collection Driver Jobs in Washington, DC

Tuckernuck

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

This position can be based in our Washington, DC Headquarters office or remote. Core ... Ensure data collection respects customers' consent signals and complies with regional data ...

Tuckernuck

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

This position can be based in our Washington, DC Headquarters office or remote. Core ... Ensure data collection respects customers' consent signals and complies with regional data ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

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 ...

SAIC

Collection Orchestration

Chantilly, VA · Remote

$160K - $200K/yr

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

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ... Supports the collection and integration of large, complex data sets that meet cross-organizational ...

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All JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Washington, DC

Remote Data Collection Driver information

See Washington, DC salary details

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

As of Jul 4, 2026, the average hourly pay for remote data collection driver in Washington, DC is $28.66, according to ZipRecruiter salary data. Most workers in this role earn between $26.39 and $29.42 per hour, depending on experience, location, and employer.

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 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 are Remote Data Collection Drivers?

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, and why are they important?

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 the most commonly searched types of Data Collection Driver jobs in Washington, DC? The most popular types of Data Collection Driver jobs in Washington, DC are:
What are popular job titles related to Remote Data Collection Driver jobs in Washington, DC? For Remote Data Collection Driver jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Washington, DC look for? The top searched job categories for Remote Data Collection Driver jobs in Washington, DC are:
Remote Data Collection Driver jobs near you

Full-Stack Engineer (Graph Database & Real-Time Data Systems)

Hire Hangar

Columbia, MD • Remote

$160K - $200K/yr

Contractor

Posted yesterday

Job description

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.

Job Title: Full-Stack Engineer (Graph Database & Real-Time Data Systems)
Location | Remote (US Only)
Time Zone | US Time Zones (EST–PST)

Role Overview:
We are seeking a Full-Stack Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment.

Key Responsibilities:
- Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data
- Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data
- Build and optimize web scraping and crawler infrastructure to support continuous data collection
- Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way
- Collaborate cross-functionally to translate product requirements into scalable technical solutions
- Write clean, maintainable, well-tested code across the stack
- Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers

Required Qualifications:
- Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph,ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)
- Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)
- Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript
- Front-end development experience with React, Next.js, and TypeScript
- Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure
- Comfortable working in a high-growth, early-stage engineering environment with evolving priorities
- Must be authorized to work in the United States without sponsorship

Preferred Qualifications:
- Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations
- Experience with social listening, social media data, or large-scale web data platforms
- Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow
- Prior experience at a seed-to-Series B startup
- Experience with AWS, GCP, Docker, or Kubernetes

Tools & Technology:
- Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)
- Streaming/data pipeline tools (Kafka, Spark, Flink, or similar)
- React, Next.js, TypeScript
- Python, Go, or Node.js
- Cloud infrastructure (AWS/GCP), Docker, Kubernetes

 

We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Compensation Range: $160K - $200K