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Data Collection Associate Jobs in Virginia (NOW HIRING)

XWELL

Data Entry Specialist

Dulles, VA · On-site

$17.25 - $23/hr

... data collection, reporting, and operational excellence. The Data Entry Specialist serves as a ... Associate degree or coursework in Healthcare Administration, Business Administration, Information ...

XWELL

Data Entry Specialist

Sterling, VA · On-site

$22/hr

... data collection, reporting, and operational excellence. The Data Entry Specialist serves as a ... Associate degree or coursework in Healthcare Administration, Business Administration, Information ...

XWELL, Inc.

Data Entry Specialist

Sterling, VA · On-site

$16.75 - $22.50/hr

... data collection, reporting, and operational excellence. The Data Entry Specialist serves as a ... Associate degree or coursework in Healthcare Administration, Business Administration, Information ...

XWELL

Data Entry Specialist

Sterling, VA · On-site

$16.75 - $22.50/hr

... data collection, reporting, and operational excellence. The Data Entry Specialist serves as a ... Associate degree or coursework in Healthcare Administration, Business Administration, Information ...

XpresCheck

Data Entry Specialist

Dulles, VA

$22/hr

... data collection, reporting, and operational excellence. The Data Entry Specialist serves as a ... Associate degree or coursework in Healthcare Administration, Business Administration, Information ...

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All JobsData Collection Associate JobsData Collection Associate Jobs in Virginia

Data Collection Associate information

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How much do data collection associate jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data collection associate in Virginia is $20.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.88 per hour, depending on experience, location, and employer.

What are some common challenges faced by data collection associates and how can they be managed effectively?

Data Collection Associates often encounter challenges such as ensuring data accuracy, maintaining consistency across multiple sources, and meeting tight deadlines. Effective management involves following standardized protocols, double-checking entries for errors, and using digital tools to streamline data capture. Collaborating closely with team members and supervisors can help resolve ambiguities and improve overall data quality. Regular training and feedback sessions also contribute to overcoming these challenges and enhancing performance.

What are the key skills and qualifications needed to thrive as a data collection associate, and why are they important?

To thrive as a Data Collection Associate, you need strong attention to detail, data entry skills, and familiarity with research or survey methodologies, often supported by a relevant degree or coursework. Proficiency with data collection tools, spreadsheets like Microsoft Excel, and sometimes survey platforms or database systems is typically required. Excellent organization, communication, and problem-solving skills help ensure accurate, timely data gathering and collaboration with team members. These skills and qualities are crucial for producing reliable datasets that support accurate analysis and informed decision-making.

What is a data collection associate?

Data Collection Associates are professionals responsible for gathering, recording, and verifying data for a variety of purposes such as research, analysis, or business operations. They may collect information through surveys, interviews, observations, or by compiling data from existing records. Their work ensures that organizations have accurate and reliable data to inform decision-making, strategy, and reporting. Data Collection Associates often work in sectors like healthcare, market research, education, and government.
What are the most commonly searched types of Data Collection jobs in Virginia? The most popular types of Data Collection jobs in Virginia are:
What are popular job titles related to Data Collection Associate jobs in Virginia? For Data Collection Associate jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Collection Associate jobs in Virginia look for? The top searched job categories for Data Collection Associate jobs in Virginia are:
What cities in Virginia are hiring for Data Collection Associate jobs? Cities in Virginia with the most Data Collection Associate job openings:
Data Collection Associate jobs near you
Infographic showing various Data Collection Associate job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,582 per year, or $20.5 per hour.

Exploitation Specialist/Data Scientist 11

Select Search Associates LLC

Falls Church, VA • On-site

Full-time

Posted 20 days ago

Job description

Overview
We are seeking an experienced Exploitation Specialist/Data Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.
This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.
As a Data Scientist, you will play a key role in designing, implementing, and maintaining the data architecture that supports AI/ML model development, testing, and evaluation. You will develop scalable data pipelines, integrate data from emerging sensors and platforms, and ensure data is standardized, accessible, and compliant with Government data governance requirements. Working closely with engineers, imagery scientists, and mission analysts, you will help deliver reliable, high-quality datasets that enable advanced analytics and operational decision-making.
Required Qualifications
  • 9+ years of relevant experience in data science, automation, software development, data engineering, database integration, GEOINT support, or related technical disciplines. A combination of education, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience connecting multiple databases and enterprise systems to automate data collection, transformation, and dissemination.
  • Experience automating repetitive business or analytic tasks using scripts and workflows.
  • Experience gathering and disseminating metrics and operational data.
  • Demonstrated ability to identify process inefficiencies and implement automation solutions that improve workflow performance.
  • Strong analytical and problem-solving skills.
  • Effective written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Preferred Qualifications
  • Experience supporting NGA enterprise technologies and environments, including NGA CORE, NGA MLOps, Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
  • Experience implementing processes and tools within organizations utilizing the Scaled Agile Framework (SAFe).
  • Experience developing dashboards and data visualizations to monitor operational pipeline health, data availability, currency, throughput, and overall system performance.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines to ingest, process, and store data from emerging sensors and collection platforms.
  • Create and manage database schemas, tables, and supporting infrastructure while implementing automated data quality monitoring and health alerts.
  • Develop API-based workflows to securely move sensor data between Government data platforms in accordance with program requirements.
  • Ensure all sensor data complies with Government-defined schemas, formatting standards, metadata requirements, and data governance policies.
  • Assess the impact of new sensor data on existing databases, metadata models, APIs, schemas, and ETL processes to support seamless integration into operational data pipelines.
  • Develop preprocessing and standardization workflows to prepare data for AI/ML model training, testing, and evaluation. Activities may include format conversion, imagery chipping, orthorectification, metadata normalization, and other transformation processes required to produce high-quality analytical datasets.
  • Collaborate with cross-functional teams to optimize data workflows, improve pipeline reliability, and support the delivery of mission-ready datasets for advanced analytics and machine learning applications.