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Remote Data Extraction Jobs in Washington, DC (NOW HIRING)

GRVTY

Palantir 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)

Babel Street

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 ...

GRVTY

Palantir Data Engineer

Chantilly, VA · On-site +1

$150K - $250K/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)

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... 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:

10a Labs

Senior Cyber Investigator

Washington, DC · Remote

$115K - $140K/yr

Detect and investigate malicious uses and cyber abuse, including cases involving scaled data extraction, ransomware, and local and remote exploits * Review and label AI-generated exchanges, and ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... data extraction, or validation. • Experience working with or modernizing data from legacy HR ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... data extraction, or validation. • Experience working with or modernizing data from legacy HR ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... data extraction, or validation. • Experience working with or modernizing data from legacy HR ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... data extraction, or validation. • Experience working with or modernizing data from legacy HR ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Washington, DC

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 Washington, DC? The most popular types of Data Extraction jobs in Washington, DC are:
What are popular job titles related to Remote Data Extraction jobs in Washington, DC? For Remote Data Extraction jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Washington, DC look for? The top searched job categories for Remote Data Extraction jobs in Washington, DC are:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Washington, DC as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution.
Senior Data Warehouse Specialist/ETL Developer

Senior Data Warehouse Specialist/ETL Developer

VivSoft Technologies

Herndon, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Job Title: Senior Data Warehouse Specialist/ETL Developer
Location: Remote
Position Type: Full-Time 
About the company:  
At VivSoft, we aim to solve complex federal problems using emerging and open technologies in a collaborative and rewarding environment. VivSoft is a diverse team of strategists, engineers, designers, and creators experienced in building high-performance, effective software, with a focus on impactful organisational design and software delivery dynamics. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies
Job Summary:
The Senior Data Warehouse Specialist / ETL Developer will be responsible for designing, developing, and maintaining enterprise data pipelines, data warehouses, and data integration solutions to support analytics, reporting, and decision-making across large-scale systems. This position supports an upcoming project with the United States Department of Agriculture (USDA). This role ensures high-quality, secure, and performant data processing aligned with federal standards, data governance policies, and industry best practices.
Key Responsibilities:
  • Design, develop, and maintain ETL/ELT pipelines for data integration from multiple source systems
  • Build and enhance data warehouses, data marts, and analytics platforms
  • Perform data extraction, transformation, cleansing, and loading to ensure data quality and accuracy
  • Optimize SQL queries, ETL jobs, and data processing performance
  • Support data modeling (conceptual, logical, physical) and metadata management
  • Develop and maintain data integration workflows and automation processes
  • Conduct data profiling, validation, and testing (unit, integration, performance, data quality)
  • Collaborate with data architects, BI developers, business analysts, and QA teams
  • Provide production support, troubleshoot issues, and implement fixes/enhancements
  • Ensure compliance with data governance, security, and federal regulations (FISMA, NIST, FedRAMP)
  • Contribute to documentation, SOPs, and knowledge transfer activities
  • Provide technical leadership and enforce best practices

Skills Required:
  • Strong expertise in ETL/ELT tools (Databricks, DataStage, SSIS, AWS Glue, etc.)
  • Advanced proficiency in SQL and database development
  • Experience with data warehouse architecture and data modeling
  • Hands-on experience with cloud platforms (AWS, Databricks, Redshift, S3)
  • Knowledge of database platforms (Oracle, SQL Server, PostgreSQL, etc.)
  • Familiarity with job scheduling tools (Control-M or equivalent)
  • Experience in data quality, governance, and metadata management
  • Understanding of SDLC, Agile methodologies, and DevOps practices
  • Strong troubleshooting, performance tuning, and analytical skills
  • Knowledge of federal security and compliance standards (NIST, FISMA, FedRAMP)
  • Excellent communication and collaboration skills

Benefits:  
  • Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)  
  • Life Insurance  
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)  
  • 401K Retirement Plan with employer match  
  • Professional Development Training Reimbursement.

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