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Remote Data Extraction Jobs in Ashburn, VA (NOW HIRING)

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Strong experience with data extraction, cleaning, and transformation (ETL) processes. * Experience ...

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 ...

SAP Data Migration Lead

Ashburn, VA · On-site +1

$125K - $167K/yr

Remote, US Salary Range: $125,300 - 167,000 Please note that the salary range information provided ... Provide subject Matter Expertise in ETL, Data Tiering, Data Cleansing and Migration process

... 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:

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Updating ETL to reflect new data elements for new and existing manpower and personnel data sources ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

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 ...

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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 Ashburn, VA?

The most popular types of Data Extraction jobs in Ashburn, VA are:

What job categories do people searching Remote Data Extraction jobs in Ashburn, VA look for?

The top searched job categories for Remote Data Extraction jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Remote Data Extraction jobs?

Cities near Ashburn, VA with the most Remote Data Extraction job openings:

Azure Data Architect

Sparibis

Washington, DC • On-site, Remote

$72.25 - $92.75/hr

Full-time

Posted 10 days ago


Job description

Location: 100% Remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment.
Years' Experience: 10+ Years of professional experience.
Education: Bachelor's degree in computer science, Data Science, Statistics, or related field.
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Certifications:
  • Active CompTIA Security+ Certification

Key Skills:
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Must have strong expertise in the Azure Cloud environment
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling

Responsibilities
  • Data Science Strategy: Develop and implement a data science strategy for the project, aligning with strategic goals and objectives.
  • Problem Identification: Work with stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management.
  • Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements.
  • Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques.
  • Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
  • Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders.
  • Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support.
  • Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions.
  • Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes.
  • Compliance: Ensure that all data science activities comply with relevant and DoD regulations and security policies.
  • Research & Development: Stay up to date with the latest advances in data science and machine learning and explore new technologies and techniques to improve HR processes.
  • Documentation: Create and maintain detailed documentation of data science processes, models, and results.

Qualifications
  • 10+ years of experience in data science, machine learning, and statistical modeling.
  • Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
  • Active Secret security clearance
  • Active CompTIA Security+ certification
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Proficiency in programming languages such as Python, R, SQL, PySpark
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
  • Experience with data visualization tools (e.g., Power BI).
  • Hands on experience with Microsoft Dataverse for data storage and management.
  • Strong experience with data extraction, cleaning, and transformation (ETL) processes.
  • Experience in data governance, metadata management, and data cataloging.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Strong understanding of database technologies and SQL.
  • Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus.
  • Excellent communication, presentation, and leadership skills.

About Sparibis
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.