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Remote Data Extraction Jobs in Virginia (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Design and maintain data conversion and ETL pipelines to prepare customer data for model training

1872 Consulting

Data Engineer

Herndon, VA · Remote

$117K - $141K/yr

... the use of standard ETL tools and techniquesAbility to manipulate raw data into effective ... Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote ...

1872 Consulting

Data Engineer

Herndon, VA · Remote

$117K - $141K/yr

... the use of standard ETL tools and techniquesAbility to manipulate raw data into effective ... Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote ...

Raytheon

Data Engineer

Richmond, VA · Remote

$113K - $136K/yr

US-VA-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Strong experience developing and optimizing ETL/ELT (Extract, Transform, Load) processes to ensure ...

New

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245506 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with ETL design and optimization using Informatica PowerCenter, including Designer ...

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst ... Applies hands on methods for streamlining and standardizing data extraction, data transformation ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Support the design and development of data pipelines and ETL routines in Azure Cloud environment ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Design, build, and maintain scalable data pipelines and ELT/ETL workflows. * Develop and optimize ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241386 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience using data manipulation and extract, transform, and load (ETL) procedures * Experience ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Design and develop enterprise data pipelines and ETL processes. * Develop logical and physical data ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with ETL development using NiFi, Python, or Scala * Experience with SQL, PostgreSQL, or ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Design and implement advanced ETL code and table configurations for complex data sets. * Use ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Virginia

Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a remote data extraction specialist?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

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

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

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

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

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

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

What cities in Virginia are hiring for Remote Data Extraction jobs?

Cities in Virginia with the most Remote Data Extraction job openings:

Remote Data Extraction jobs near you

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted yesterday

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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