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Data Curation Jobs in Reston, VA (NOW HIRING)

EDJ Associates,

Protocol Data Analyst I

Washington, DC · On-site

This role codes clinical trials using the NCI Thesaurus, abstracts biomarkers, processes accrual data, and supports person and organization curation in the Clinical Trials Reporting Program (CTRP ...

QualX Corporation

AI Developer

Springfield, VA · On-site

Conduct data engineering tasks, including data curation, feature engineering, and model optimization for classified datasets. * Support the integration of AI and analytics into enterprise-level ...

BAE Systems

Imagery Anst Sr

Sterling, VA · On-site

$97K - $164K/yr

The EO Imagery Geospatial Analyst / Scientist will provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of ...

BAE Systems

Imagery Anst Prin

Sterling, VA · On-site

$118K - $200K/yr

The Senior EO Imagery Analyst / Scientist shall provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of ...

BAE Systems

Imagery Anst Prin

Sterling, VA · On-site

$118K - $200K/yr

The Senior SAR Imagery Analyst Scientist will provide Geospatial and Imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of ...

Accenture Federal Services

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... curation to meet business and analytics requirements. • Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes. Qualifications : Required : • 3+ ...

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Data Curation information

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 skills are needed for data curation?

Data curation requires strong organizational skills, attention to detail, and proficiency with data management tools such as databases and spreadsheets. Knowledge of data standards, metadata creation, and basic programming or scripting skills can also enhance effectiveness in maintaining and validating data quality.

Do curators make a lot of money?

Data curators typically earn a median salary that varies by experience and industry, with entry-level positions starting around $40,000 annually and experienced professionals earning over $70,000. Salaries can increase with specialized skills, certifications, and working in high-demand sectors such as technology or healthcare.

How much do data curators make in the US?

Data curators in the US typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills or certifications can earn higher salaries. The role often involves working with data management tools and maintaining data quality standards.

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 does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or repository. They review, categorize, and annotate data to make it accessible and useful for analysis, often using tools like data management software and following data standards. Their work supports accurate data retrieval and reliable research or decision-making processes.

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 job categories do people searching Data Curation jobs in Reston, VA look for? The top searched job categories for Data Curation jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Curation jobs? Cities near Reston, VA with the most Data Curation job openings:
Data Curation jobs near you
Infographic showing various Data Curation job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Lead AI / ML Engineer (TS/SCI)

Lead AI / ML Engineer (TS/SCI)

Praescient Analytics

Washington, DC • On-site

$115K - $152K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
Praescient Analytics is seeking a highly skilled and visionary Lead AI/ML Engineer to support a critical need with the Defense Intelligence Agency (DIA). This role provides top-tier technical leadership for advanced Artificial Intelligence, Machine Learning, and Agentic AI development efforts, ensuring all deployed models conform to rigorous Intelligence Community standards.
Responsibilities:
• Lead the design, prototyping, development, and operationalization of enterprise-wide AI/ML capabilities, with a particular focus on advanced generative AI and agentic artificial intelligence systems.
• Establish and maintain a secure, scalable, and standardized AI/ML Operations environment that handles the entire lifecycle from data curation and preparation through automated deployment and continuous model retraining.
• Ensure all AI/ML models, training pipelines, and algorithms strictly meet the accreditation criteria mandated by the DIA Quality Assurance Framework (QAF) and relevant ethical AI directives (e.g., Memo U-23-0491/DI).
• Lead model validation, adversarial robustness testing, explainability evaluations, and bias detection analysis to safeguard the integrity of intelligence capabilities.
• Serve as the primary technical interface between data scientists, software engineers, DevSecOps teams, and mission analysts to translate complex technical architectures into analytic tradecraft solutions.
• Stay at the forefront of emerging AI breakthroughs (such as transformer architectures and complex reasoning agents) and formulate proactive recommendations to address complex national security challenges.
Qualifications:
Required:
• Must possess an active federal TS/SCI clearance.
• An advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Mathematics, or a highly related technical field.
• Demonstrated senior-level experience leading end-to-end AI/ML implementation projects and engineering robust, secure AI operations (MLOps) infrastructure in federal or secure environments.
Preferred:
• 13+ years of specialized experience designing, developing, and embedding advanced neural networks or predictive statistical modeling into production software.
• Proven experience with state-of-the-art transformer architectures, large language models (LLMs), reinforcement learning, and building complex agentic systems.
• Deep familiarity with DIA QAF compliance, model security verification, and the transition of pipelines into cloud-native Platform as a Service (PaaS) or containerized architectures (Kubernetes/OpenShift).
• Demonstrated experience implementing zero-trust concepts within data architectures and engineering defenses against model poisoning, membership inference, data exfiltration, or adversarial manipulation.
• Published peer-reviewed research or widely recognized technical contributions to the broader defense/intelligence AI/ML community.
Company:
Software and Technology Integrator Founded in 2011, the company is headquartered in Alexandria, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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