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Senior Data Curator Jobs in Reston, VA (NOW HIRING)

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

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 ...

Noblis

Senior Data Scientist

Reston, VA · On-site

As a Data Scientist, you will support the intelligence community by developing innovative, data ... Collecting, curating, and processing large-scale structured and unstructured datasets.

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

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 ...

Chenega MIOS

Data Manager / Curator

Arlington, VA · On-site

$137K/yr

Req ID: 40891 Summary Data Manager / Curator Arlington, VA Are you ready to enhance your skills and ... From entry-level employees to senior leaders, we believe theres always room to learn. We offer ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

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 ...

Chenega Corporation

Data Manager / Curator

Arlington, VA · On-site

$137K/yr

Summary Data Manager / Curator Arlington, VA Are you ready to enhance your skills and build your ... From entry-level employees to senior leaders, we believe there's always room to learn. We offer ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... data curation and synthetic data generation to model training, evaluation, and delivery. Our ... This position requires a mid-to-senior level of experience, a passion for mission support, and a ...

The Metamorphosis Group Inc

Data Scientist

Vienna, VA · On-site

$150K - $195K/hr

NoThe Metamorphosis Group, Inc, is seeking a Senior Data Scientist to join and exciting program ... curating data needed to train and run modelsWork Requirement:The Sponsor seeks a Data Scientist who ...

NT Concepts

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

... data curation and synthetic data generation to model training, evaluation, and delivery. Our ... This position requires a mid-to-senior level of experience, a passion for mission support, and a ...

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Senior Data Curator information

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How much do senior data curator jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for senior data curator in Reston, VA is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $70.00 per hour, depending on experience, location, and employer.

What is a senior data curator?

Senior Data Curators are professionals responsible for managing, organizing, and maintaining large datasets to ensure their quality, accuracy, and usability. They develop data curation strategies, oversee data lifecycle management, and collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible and reliable. Senior Data Curators often lead data governance initiatives, implement best practices for metadata and documentation, and may train or supervise junior team members. Their role is essential in organizations that rely on high-quality data for research, analytics, or decision-making.

How does a senior data curator typically collaborate with data scientists and engineers in a project environment?

Senior Data Curators play a vital role in cross-functional teams by ensuring that data is accurate, well-organized, and accessible. They often work closely with data scientists to understand data requirements for analysis and modeling, and with engineers to establish robust data pipelines and metadata standards. Effective collaboration involves regular meetings to discuss data quality issues, implementing best practices for data governance, and providing documentation that supports seamless data use. This teamwork enables organizations to derive meaningful insights while maintaining compliance and data integrity.

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

To thrive as a Senior Data Curator, you need expertise in data management, metadata standards, and domain-specific knowledge, usually supported by an advanced degree in information science or a related field. Familiarity with data curation tools, database systems, and metadata management platforms—such as FAIR principles, SQL, and repository software—is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help ensure high data quality and collaboration across teams. These skills and qualities are crucial for maintaining data integrity, supporting research initiatives, and enabling data discovery and reuse.

What are popular job titles related to Senior Data Curator jobs in Reston, VA?

For Senior Data Curator jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Senior Data Curator jobs in Reston, VA look for?

The top searched job categories for Senior Data Curator jobs in Reston, VA are:

Senior Data Curator jobs near you
Infographic showing various Senior Data Curator job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,939 per year, or $59.1 per hour.

Data Scientist - Senior

Falls Church, VA • On-site

GRVTY
See more jobs at GRVTYexternal

Full-time

Re-posted 27 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems and a passion for solving complex analytical problems in support of Machine Learning model development and operational intelligence missions. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.

What You'll be Owning

  • Integrate emerging sensors and platforms into existing data pipelines and workflows, including:
    • Developing pipelines and relevant data structures for emerging capabilities
    • Incorporating new data types into existing data workflows
  • Assess potential differences in metadata, data format, and data structure characteristics regarding changes to:
    • Databases and schemas
    • APIs and other ETL-related processes
    • Ingestion and movement of data within the existing data operations pipelines
  • Conduct analysis of how emerging data impacts overall program data holdings from the perspective of:
    • Machine Learning model development
    • Test and evaluation use cases
    • Real-world operational use cases
  • Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
  • Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
  • Lead projects using advanced mathematical, statistical, and scientific techniques to:
    • Examine complex mission and operational problems
    • Create insights from data
  • 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 gaps and meet project priorities
  • Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
  • Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
  • Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping
  • Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities
  • Build software tools to manage labeling campaigns, including:
    • Tracking unlabeled and labeled data and campaign status
    • Transferring label task information via API-based movement between platforms
  • Build software tools to:
    • Filter and visualize data geospatially
    • Allow feedback entry and data analysis
    • Integrate with existing data management platforms
  • Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements
  • Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Experience working with AI/ML technologies and data systems
  • Experience working with multiple file types including:
    • Geospatial file formats
    • JSON, XML, and related formats
  • Experience in quantitative analysis and data operations, including:
    • Developing visualizations and processing complex data to create data-driven insights
    • Data manipulation and ETL procedures
    • Working knowledge of SQL and NoSQL database technologies
  • Development experience in Python and other languages for data cleaning and manipulation

What Would be Nice to Have

  • Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
  • Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices
  • Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling

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