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

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 ...

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

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 ...

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

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 ...

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

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.

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military ... Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems

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SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Remote (EST/CST Preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125,000 ... This role focuses heavily on SQL Server, data migrations, ETL processes, XML data handling, and ...

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Design, build, and deploy robust ETL/ELT solutions using SQL and Python. * Test & Deploy: Perform ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Design, build, and deploy robust ETL/ELT solutions using SQL and Python. * Test & Deploy: Perform ... This specific role is primarily remote, with occasional travel to an office or client site.

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)

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

This team partners with stakeholders to extract data from the Data Warehouse, transform and optimize it, and build reporting/dashboard solutions that deliver actionable insights to clients. The ideal ...

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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 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:
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.
Data Analyst (Oracle HCM Cloud)

Data Analyst (Oracle HCM Cloud)

System One

Vienna, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago


Job description

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development and modernization efforts within our HR analytics environment. This role will focus on developing complex queries and database objects across SQL Server and Oracle platforms, with a strong emphasis on sourcing, transforming, and validating Oracle HCM data to support enterprise reporting, analytics, and historical data needs. Key Responsibilities: • Develop and maintain complex SQL and database objects across SQL Server and Oracle environments. • Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM–sourced data. • Design and implement data structures, transformations, and database objects for analytics, reporting, and downstream consumption. • Leverage Oracle Analytics tools (e.g., BI Publisher) to source, validate, and interpret Oracle HCM data and reporting logic. • Analyze Oracle HCM frontend functionality and backend data structures to ensure accurate data usage. • Partner with technical, analytics, and business stakeholders to define and validate requirements, metrics, and data logic. • Create and maintain technical requirements, data documentation, including data definitions, business rules, source-to-target mappings, data lineage, and governance artifacts. • Contribute to data quality checks, reconciliations, and cross-system issue resolution. Other duties as assigned. Required Qualifications: • Advanced SQL experience, including complex joins, analytical/window functions, and performance optimization. • Hands-on experience working with both: o SQL Server o Oracle SQL • Strong experience with Oracle HCM Cloud, including both frontend configuration concepts and backend data structures. • Experience using Oracle Analytics tools such as BI Publisher (BIP) and BICC for reporting, data extraction, or validation. • Experience working with or modernizing data from legacy HR systems such as PeopleSoft. • Solid understanding of enterprise data warehousing concepts, including fact tables and historical data design. • Proven ability to produce clear, well-structured technical documentation supporting data governance initiatives. Required Soft Skills: • Ability to work independently as a contractor and deliver on clearly defined outcomes • Strong analytical and problem-solving skills, particularly when troubleshooting data or report logic • Clear communication skills to collaborate with technical and non-technical stakeholders • Adaptability in environments with evolving requirements and frequent system changes • Attention to detail and commitment to data accuracy and quality

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #851-Rockville-S1 #M1 #LI-VH1