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Data Curation Jobs in Virginia (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model ...

NT Concepts

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development * Experience building and maintaining ETL or data processing pipelines

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 · On-site

$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 ...

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$10

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How much do data curation jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data curation in Virginia is $43.59, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $57.28 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Data Curation roles?

Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.

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

To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.

What is a Data Curation job?

A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.

What are the most commonly searched types of Data Curation jobs in Virginia? The most popular types of Data Curation jobs in Virginia are:
What are popular job titles related to Data Curation jobs in Virginia? For Data Curation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Curation jobs in Virginia look for? The top searched job categories for Data Curation jobs in Virginia are:
What cities in Virginia are hiring for Data Curation jobs? Cities in Virginia with the most Data Curation job openings:
Data Curation jobs near you
Infographic showing various Data Curation job openings in Virginia as of July 2026, with employment types broken down into 80% Full Time, 9% Part Time, and 11% Contract. Highlights an 83% In-person, 3% Hybrid, and 14% Remote job distribution, with an average salary of $90,669 per year, or $43.6 per hour.
Data Scientist

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Other

Posted 5 days ago

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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