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Data Collection Jobs in Washington, DC (NOW HIRING)

Tharros is seeking an experienced Data Manager to provide assessment process support, data collection, and analytical exploitation of Mission Assurance assessment data. This position operates at the ...

Data Analyst

Herndon, VA · On-site

$60K - $70K/yr

We provide integrated solutions that help our clients recognize value quickly by reducing costs and improving business agility. - Develop, design and organize research approaches for data collection ...

In this role you will get to execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection ...

Senior Research and Data Analyst

Washington, DC · On-site +1

$97K - $122K/yr

Execute Data Collection and Reporting SystemsRelated toApplicant, Student, and Trainee Data and Reports: Specific responsibilities and deliverables related tothis duty include: * Be responsible for ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Responsibilities : • Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics • Develop and support complex data ...

Tharros is seeking an experienced Data Manager to provide assessment process support, data collection, and analytical exploitation of Mission Assurance assessment data. This position operates at the ...

Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...

Showing results 41-60

Data Collection information

See Washington, DC salary details

$18

$28

$35

How much do data collection jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data collection in Washington, DC is $28.65, according to ZipRecruiter salary data. Most workers in this role earn between $26.39 and $29.38 per hour, depending on experience, location, and employer.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.

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

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

How much money do data collectors make?

Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer additional incentives or bonuses for meeting targets or working in specialized environments.

Is data collection a good job?

Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are generally suitable for individuals interested in data, research, and working in flexible or remote environments.

What are the most commonly searched types of Data Collection jobs in Washington, DC?

The most popular types of Data Collection jobs in Washington, DC are:

What are popular job titles related to Data Collection jobs in Washington, DC?

For Data Collection jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Data Collection job openings in Washington, DC as of August 2026, with employment types broken down into 7% Internship, 75% Full Time, and 18% Part Time. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution, with an average salary of $59,598 per year, or $28.7 per hour.

Data Manager

Analygence

Arlington, VA • On-site

Full-time

Re-posted 2 days ago


Job description

Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.

Tharros is seeking an experienced Data Manager to provide assessment process support, data collection, and analytical exploitation of Mission Assurance assessment data. This position operates at the intersection of assessment execution and data engineering, using Palantir Foundry to collect, structure, govern, and exploit Mission Assurance data across the full assessment lifecycle.

Key Responsibilities

  • Support Mission Assurance assessment activities through structured data collection, preparation, ingestion, and management of assessment data under Government direction.
  • Collect, structure, and manage data from Department of War Mission Assurance Assessments, Pre-Site Surveys, on-site assessments, stakeholder reports, and related USAF augmentation activities.
  • Coordinate with Mission Analysts, Mission Support Specialists, Government assessment teams, and stakeholders to ensure assessment data is complete, consistent, traceable, and suitable for downstream analysis.
  • Implement, sustain, and improve Mission Assurance data workflows, analytical models, dashboards, monitoring views, and decision-support products within Palantir Foundry and other Government-directed enterprise data platforms.
  • Configure and use Palantir Foundry capabilities to enable Mission Assurance data analysis, reporting, automation, project coordination, and sustainment of enterprise-ready data products.
  • Aggregate, normalize, integrate, and analyze Mission Assurance data to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and enterprise-level patterns.
  • Integrate assessment data with mission mapping, critical capability data, TCA identification, criticality analysis, and related Joint, Service, infrastructure, cyber, resilience, and operational assessment sources.
  • Maintain data stewardship and governance practices, including data standards, definitions, quality controls, version management, change coordination, controlled sharing, and documentation of data models and workflows.
  • Assess and refine Mission Assurance data architecture, data models, ontologies, analytical frameworks, and workflows to improve coherence, scalability, usability, analytical rigor, and decision support.
  • Support technical coordination, training, user support, knowledge transfer, and collaboration using Government-directed tools such as Platform One, Mattermost, Jira, and Confluence.