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Remote Data Extraction Jobs in Virginia (NOW HIRING)

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

Candidates near our Somerville, MA or Reston, VA offices are preferred but remote work it potential for the ideal candidate. ROLE FOCUS; As a Software Engineer III specializing in data extraction ...

... automated data extraction and other elements of model development and will be the first line ... for remote work to be determined by the program manager and customer. Essential Functions:

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

Lidar Calibration Analyst

Fairfax, VA · On-site +1

$55K - $71K/yr

Bachelor's degree in Geography, GIS, or related field * 2+ years of experience in the GIS/Remote Sensing Field * Experience in either Lidar data extraction and/or swath alignment * Required ...

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

This position is currently remote, with occasional meetings in Arlington, VA. Daily ... Develop and maintain web scraping scripts and tools to extract data from websites and APIs.

Lead Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a ... extraction and transformation.  * Extensive experience applying machine learning techniques ...

Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ... Comfortable developing complex SQL queries to extract, transform, and load data About Elder ...

Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ... Comfortable developing complex SQL queries to extract, transform, and load data About Elder ...

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

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Remote Data Extraction information

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 jobs pay 4000 a week without a degree?

Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.

How to make $1000 a week remotely?

Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.

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, and why are they important?

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.

How to become a data extractor?

To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.

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.

Is 40 too late for data science?

Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
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:

Software Engineer III

Babel Street

Reston, VA • On-site, Remote

$59.75 - $80.25/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

ROLE SUMMARY:

The primary purpose of this Software Engineer III position is to architect, develop, and maintain advanced automated data extraction systems (spiders) that harvest critical business intelligence from complex web environments. This role ensures the continuous, reliable flow of high-quality data into our internal databases by engineering solutions to overcome sophisticated technical barriers and anti-bot security measures. Candidates near our Somerville, MA or Reston, VA offices are preferred but remote work it potential for the ideal candidate.

ROLE FOCUS;

As a Software Engineer III specializing in data extraction, you will be responsible for the end-to-end lifecycle of web-based data collection. This includes designing scalable crawling architectures, reverse-engineering web applications to identify data points, and implementing evasion techniques to bypass IP rate-limiting and bot detection. You will also manage the storage and integrity of this data using advanced SQL and relational database management. 

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have deep experience with Scrapy or Playwright, know how to defeat Cloudflare or DataDome, and can write high-performance SQL to manage millions of records, we want to hear from you. This is a specialized role for an engineer who enjoys reverse-engineering the web to unlock data. 

The primary purpose of this Software Engineer III position is to architect, develop, and maintain advanced automated data extraction systems (spiders) that harvest critical business intelligence from complex web environments. This role ensures the continuous, reliable flow of high-quality data into our internal databases by engineering solutions to overcome sophisticated technical barriers and anti-bot security measures.  

Responsibilities: 

  • Spider Development: Design and deploy robust, distributed spiders and crawlers to extract data from a variety of web architectures (SPAs, SSR, etc.). 
  • Bot Evasion Engineering: Research and implement strategies to bypass anti-scraping technologies, including proxy rotation, browser fingerprinting, and CAPTCHA solving. 
  • Database Management: Create and optimize SQL schemas for large-scale data storage and perform complex data transformations and validation.
  • System Maintenance: Proactively monitor the health of extraction agents and refactor code quickly in response to target website updates or layout changes.
  • Performance Optimization: Utilize asynchronous Python programming to maximize the throughput and efficiency of data collection pipelines. 

Requirements: 

  • Advanced Python: Mastery of Python 3.x with deep experience in extraction frameworks (Scrapy, Playwright, Selenium, or Puppeteer). 
  • Technical Resilience: Proven ability to bypass high-level bot detection (e.g., Cloudflare, Akamai, or PerimeterX). 
  • Database Mastery: Expert-level SQL skills and experience managing relational databases like PostgreSQL or MySQL. 
  • Network Proficiency: Expert understanding of HTTP/S, TCP/IP, TLS fingerprinting, and browser-header manipulation.  
  • Problem Solving: A specialized ability to reverse-engineer JavaScript-heavy websites and hidden API endpoints. 
  • Able to write, debug, and deploy complex Python code in a distributed environment.
  • Must be able to analyze and interpret complex web structures and network traffic using browser developer tools.
  • Ability to design and maintain relational database tables containing millions of rows.
  • Able to pivot and respond quickly to technical "break-fixes" to ensure data continuity for the business.
  • Collaboration with data analysts to define and validate data requirements and output formats. 

Education & Experience:

  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent professional experience). 
  • Minimum of 5+ years of experience in Software Engineering, with at least 2-3 years focused specifically on large-scale web scraping or data extraction. 

Benefits at Babel Street (just to name a few...)

  • Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances - for you and your family!
  • Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
  • Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
  • Holidays: Babel Street provides employees with 12 paid Federal Holidays
  • Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their coworker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.