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Remote Data Extraction Jobs in Portland, OR (NOW HIRING)

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You'll help find reliable and efficient ways to extract data ...

Accounts Payable Specialist

Portland, OR · On-site +1

$46K - $60K/yr

Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ... payment extractions for vendor payments and employee expense reports Reconcile vendor monthly ...

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 Portland, OR? The most popular types of Data Extraction jobs in Portland, OR are:
What job categories do people searching Remote Data Extraction jobs in Portland, OR look for? The top searched job categories for Remote Data Extraction jobs in Portland, OR are:
Infographic showing various Remote Data Extraction job openings in Portland, OR as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.

Full-stack Data Engineer (Remote)

Chord Strategy

Vancouver, WA • Remote

$119K - $144K/yr

Full-time

Medical, PTO

Re-posted 4 days ago


Job description

The Battle of Giants exists to answer a simple but important question: Will a company’s strategy lead to growth?


Why? We do this to help investors and corporate execs assess a company’s growth potential and ability to innovate. Critical to survival in this disruptive age. Our ultimate goal is to help organizations design effective strategies collaboratively. Strategies their teams take part in building and naturally rally behind. But we can’t do that without first diagnosing how well a strategy will perform - step 1. Does our mission align with yours?


What’s your role? As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You’ll help find reliable and efficient ways to extract data on what companies are investing in from both public and private sources. More specifically, you’ll help us solve these problems:


  • How can we reliably and efficiently scrape and pull data from hundreds of websites and APIs?

  • Are there better datasets available to assess what a company’s investing in?

  • How can we improve data features used by our machine learning algorithm?

  • What structure and format should we load the data for analysis?

  • What reports and visual best communicate the insight?

  • Is our data accurate and timely?

Toolkit? We don’t believe in hiring based on tools you have experienced with. We’re much more interested in people who can find the root cause of a problem, and research/learn the best tool to help solve that problem. Does that sound like you? Tools we currently use include Python/NLTK, SQL, Tableau, but we are more than willing to drop them if you identify more effective toolkits.


What should you expect? This job is NOT for those who struggle with ambiguity, need constant guidance, and say yes without asking why. We seek a leader, not a follower. Someone not afraid to speak up and stand up for the right ideas. That’s because you will work directly with the leadership team and help shape the long-term outlook for The Battle of Giants. Do you enjoy getting outside your comfort zone? Do you naturally question assumptions, investigate root cause of problems, and think outside the box?


What benefits are offered? We strongly believe in smelling the roses along the journey. It’s going to be a long and challenging journey. We thus offer supplemental health coverage, 4 weeks paid time off, unlimited sick days, and the opportunity to design your own workstation/computer setup. We also encourage you to take Friday to work on something different and think outside the box: Volunteer, create art, build something useful for the community. Just don’t do what you do Monday to Thursday.


What happens after you apply? We will shortlist candidates we believe will be most successful in this role, and send along a quick exercise as the next step. This helps you get a sense of the day to day work. And it also helps us understand how you think. There will be multiple ways to complete the exercise, so don’t worry about finding an ideal solution. Do what you would normally do, using the tools you’re familiar with. We just want to learn about you!