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Remote Data Extraction Jobs in Virginia (NOW HIRING)

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 ...

Data Curation Lead

Arlington, VA · Remote

$160K - $210K/yr

Remote Clearance required: Active Secret Clearance required Division: Aviation Salary: $160,000 ... Perform focused curation of Technical Data Report submissions, including extraction and structured ...

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience with data engineering principles, including ETL design, orchestration, and data pipeline ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Experience building and maintaining production data pipelines and ETL/ELT processes * Working ...

Develop and apply machine learning, statistical, and data mining techniques to extract metrics and ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Responsibilities: * Design, develop, and maintain ETL/ELT pipelines for batch and real-time ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... Experience with developing scalable data pipelines or ETL/ELT workflows for reporting and analytics

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data ... Experience with developing scalable ETL and ELT workflows for reporting and analytics * Knowledge ...

Develop data pipelines, ETL/ELT processes, and ingestion frameworks for structured, semi-structured ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$29.25 - $38.75/hr

Three or more years of leadership experience managing ETL, data engineering, technical operations ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... schemas, ETL flows, and data mappings SQL + SSIS development skills Building, optimizing, and ...

Showing results 41-60

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 cities in Virginia are hiring for Remote Data Extraction jobs?

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

Data Scientist

SAIC

Mclean, VA • On-site, Remote

$200K - $240K/yr

Full-time

Re-posted 10 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services


Job description

Job ID: 2614424

Location: McLean, VA, US

Date Posted: 2026-07-09

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.

Key Responsibilities:

  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets. 
  • Use Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics. 
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis. 
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications

  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:

  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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