ZipRecruiter

Log In

1

Data Curation Jobs in Reston, VA (NOW HIRING)

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 ...

BBC UK

Senior Curation Editor

Washington, DC · On-site

$90K - $100K/yr

Senior Curation Editor Senior Curation Editor Editorial, Production & Programming Permanent ... Leverage audience data and industry trends to enhance engagement and user experience * Collaborate ...

Chenega MIOS SBU

Data Manager / Curator

Arlington, VA · On-site

Chenega Military, Intelligence & Operations Support (MIOS) is seeking a Data Manager / Curator to support data governance, data lifecycle management, and data quality initiatives. The role involves ...

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 build your career in a rapidly evolving business climate? Are you looking for a career where ...

previous pagenext page

Showing results 21-40

All JobsData Curation JobsData Curation Jobs in Reston, VA

Data Curation information

What is a data curation?

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 key skills and qualifications needed to thrive in data curation, 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 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.

How do you become a data curator?

To become a data curator, you typically need a bachelor's degree in a related field such as information science, computer science, or data management. Gaining experience with data organization, metadata standards, and tools like database management systems or data cleaning software is important, along with developing strong analytical and attention-to-detail skills.

Is a data curator a good job?

A data curator manages and organizes data sets to ensure quality, consistency, and accessibility, often using tools like databases and data management software. It is a growing field with opportunities in industries such as healthcare, finance, and technology, and typically requires strong attention to detail and knowledge of data standards. The role can offer stable employment and the chance to develop specialized skills in data management.

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 select relevant data, apply standards for consistency, and often use tools like data management software to prepare data for analysis or sharing.

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

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

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:

Data Curation jobs near you
Infographic showing various Data Curation job openings in Reston, VA as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

SAR Data Scientist/Imagery Scientist with Security Clearance

NorthHill Technology Resources

Falls Church, VA • On-site

Other

Re-posted 16 days ago

Job description

NorthHill Technology Resources has a need for a SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA. This is a direct-hire opportunity with our client, a highly respected Federal Integrator. A current TS/SCI Clearance is required. We are seeking an experienced SAR Data Scientist/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 spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments. As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, 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)
4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.

Apply