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Data Curator Jobs in Virginia (NOW HIRING)

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Geospatial Data Curation, Portal, and Visualization Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal. Ensure ...

Vantor

Senior Geospatial Data Engineer - Vantor

Mclean, VA · On-site

$117K - $141K/yr

Geospatial Data Curation, Portal, and Visualization Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal. Ensure ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support * Build and maintain data pipelines and analytical tools using Python, R, or equivalent ...

Maxar

Senior Geospatial Data Engineer

Mclean, VA

$107K - $145K/yr

Geospatial Data Curation, Portal, and Visualization Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal. Ensure ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

The role involves leveraging multi-INT data, curating imagery, and applying advanced geospatial tradecraft to solve complex military and intelligence challenges. Responsibilities : • Leverage multi ...

GRVTY

Data Scientist - Senior

Falls Church, VA

Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...

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All JobsData Curator JobsData Curator Jobs in Virginia

Data Curator information

See Virginia salary details

$25.3K

$72K

$118.5K

How much do data curator jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data curator in Virginia is $72,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $93,200.00 per year, depending on experience, location, and employer.

What does a data curator do?

A Data Curator is responsible for collecting, organizing, and maintaining datasets to ensure they are accurate, accessible, and usable for analysis. They work with data scientists, analysts, and other stakeholders to standardize metadata, establish data governance policies, and improve data quality. Data Curators often clean and enrich datasets, manage data repositories, and ensure compliance with regulatory standards. Their role is essential in making data more discoverable and valuable for decision-making and research.

What does a typical day look like for a data curator, and who do they usually collaborate with?

A typical day for a Data Curator involves collecting, organizing, and annotating datasets, maintaining data integrity, and updating records to comply with quality standards. Data Curators frequently work alongside data analysts, researchers, and IT professionals to ensure data is properly structured and easily accessible for various projects. You may also interact with data stewards or subject matter experts to validate metadata or resolve inconsistencies. Collaboration and communication are integral to the role, as you help bridge technical teams and end users, ensuring that data systems meet the evolving needs of the organization.

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

Success as a Data Curator requires strong analytical abilities, attention to detail, and a background in information management, data science, or a related field. Familiarity with data management tools, metadata standards (such as Dublin Core), and systems like relational databases and data repositories is highly advantageous, and certifications in data governance or data management can be beneficial. Excellent organizational skills, effective communication, and a collaborative mindset are key soft skills for this role. Mastery of these skills ensures data assets are accurately cataloged, accessible, and usable for stakeholders, supporting effective decision-making and research outcomes.

How do you become a data curator?

To become a data curator, individuals typically need a background in data management, information science, or related fields, along with skills in data organization, metadata standards, and database tools. Gaining experience through internships or entry-level roles in data management and obtaining certifications such as Certified Data Management Professional (CDMP) can also enhance prospects.

Is a data curator a good job?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within organizations, often using tools like databases and data management software. The role can offer stable employment, opportunities for specialization, and requires skills in data analysis and attention to detail. Job satisfaction depends on individual interests in data management and the industry environment.

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

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

What are popular job titles related to Data Curator jobs in Virginia?

For Data Curator jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Curator jobs in Virginia look for?

The top searched job categories for Data Curator jobs in Virginia are:

What cities in Virginia are hiring for Data Curator jobs?

Cities in Virginia with the most Data Curator job openings:

Data Curator jobs near you
Infographic showing various Data Curator job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,004 per year, or $34.6 per hour.

ELECTRO-OPTICAL DATA SCIENTIST/IMAGERY SCIENTIST (TS/SCI CLEARANCE REQUIRED)

NorthHill Technology

Falls Church, VA

Full-time

Re-posted 4 days ago

Job description

We are seeking an experienced Electro-Optical (EO) Data Scientist Specialist / Imagery 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 range of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As an EO Exploitation Specialist / Imagery Scientist, you will leverage your expertise in Electro-Optical imagery, geospatial analysis, and multi-INT exploitation to support the curation, analysis, and preparation of imagery datasets used for machine learning model development, testing, and evaluation. You will work alongside engineers, data scientists, and mission analysts to ensure imagery products are representative, mission-relevant, and optimized for AI/ML applications.

Required Qualifications
  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • Experience exploiting Electro-Optical (EO) imagery and EO analytical products in support of intelligence or geospatial missions.
  • Experience conducting multi-INT analysis and integrating data from multiple intelligence disciplines to support mission objectives.
  • Proficiency working with structured, semi-structured, and unstructured datasets using programming, scripting, and visualization tools.
  • Strong geospatial analysis skills and the ability to apply emerging technologies, analytical methodologies, and data-driven techniques to solve complex intelligence challenges.
Preferred Qualifications
  • Experience developing or applying machine learning (ML) and computer vision (CV) techniques to overhead imagery, motion imagery, or other geospatial datasets.
  • Familiarity with AI/ML workflows supporting imagery exploitation, object detection, and model evaluation.
Key Responsibilities
  • Leverage multi-INT data, with an emphasis on Electro-Optical (EO) imagery, to identify, curate, and prepare imagery collected from emerging sensor platforms for AI/ML model development, testing, evaluation, and accreditation.
  • Curate imagery that aligns with Government priorities by selecting datasets containing required objects of interest, geographic coverage, scene characteristics, and other operationally relevant attributes.
  • Evaluate the capabilities and limitations of emerging EO sensors and recommend data curation strategies that maximize dataset quality, diversity, and operational value.
  • Identify data gaps and recommend additional collections or complementary data sources to develop representative datasets that support robust machine learning model evaluation.
  • Collaborate with cross-functional teams to ensure curated imagery meets quality standards and is optimized for advanced analytics, AI/ML development, and mission execution.