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Remote Data Extraction Jobs in Seattle, WA (NOW HIRING)

Porch.com, Inc.

Senior Software Engineer, Insurance

Seattle, WA · On-site +1

$139K - $183K/yr

Build migration tooling: automated data extraction, transformation, validation, and reconciliation ... Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West ...

Globenet Consulting Corp

LSR Engineer

Lynnwood, WA · Remote

$50 - $60/hr

Remote (USA) What You'll Do As an LSR Integration Engineer, you will design, build, and enhance ... and integration patterns to transmit, extract, push, and pull data across systems. Key ...

Wsgr

Principal Solutions Engineer

Seattle, WA · On-site +1

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... Partner with the data operations team to extract, transform, and load (ETL) data from marketing ...

Career Renew

Revenue Operations Lead

Seattle, WA · Remote

$90K - $160K/yr

... a remote position for US based candidates. Salary range: 90-160K USD base plus benefits plus equity. We are the easiest way to extract data from the web. Developers use us to reliably convert URLs ...

Crunchbase

Senior Commercial Counsel

Seattle, WA · On-site +1

$170K - $200K/yr

Crunchbase has a remote-first approach, and is open to hiring in residents of these states ... Data-as-a-Service (DaaS) * Enterprise and strategic customer agreements * Cloud, reseller, and ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Seattle, WA

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 Seattle, WA? The most popular types of Data Extraction jobs in Seattle, WA are:
What are popular job titles related to Remote Data Extraction jobs in Seattle, WA? For Remote Data Extraction jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Seattle, WA look for? The top searched job categories for Remote Data Extraction jobs in Seattle, WA are:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Seattle, WA as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution.

Azure Synapse & Power BI Developer

Globenet Consulting Corp

Lynnwood, WA • Remote

$55 - $60/hr

Full-time

Posted 2 days ago

New

Job description

Role: Azure Synapse & Power BI Developer
Location: Remote (PST timezone preferred)
Why Join The AES Group INC
  •  Long-term opportunity on modern Azure data platforms 
  •  Remote role with collaboration across data engineering and analytics teams 
  •  High-impact work building pipelines and executive-ready dashboards 
Role Overview
The AES Group INC is seeking an experienced Azure Synapse & Power BI Developer to support data engineering, analytics, and reporting initiatives. You will build scalable data pipelines, transform and optimize data in Azure Synapse, and deliver meaningful insights through Power BI dashboards, reports, and semantic models. This role is ideal for someone who combines strong SQL and data modeling skills with a practical, performance-focused mindset.
Key Responsibilities
  •  Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics
  •  Build and optimize ETL/ELT processes to support large datasets and analytics workloads 
  •  Develop and enhance Power BI dashboards, reports, datasets, and semantic models 
  •  Translate reporting and analytics needs into efficient technical solutions and visual outcomes 
  •  Ensure data quality, reliability, and scalability across pipelines and reporting layers 
  •  Tune SQL queries, Synapse workloads, and Power BI models for performance and usability 
  •  Integrate data from cloud and on-premise sources into curated analytics layers 
  •  Follow data governance, security, and access best practices within Azure ecosystems 
Required Qualifications
  • 4+ years in data engineering, BI development, or analytics engineering 
  •  Strong hands-on experience with Azure Synapse Analytics
  •  Strong Power BI skills, including DAX, data modeling, and report development 
  •  Advanced SQL with performance tuning and optimization experience 
  •  Experience with Azure Data Factory or comparable orchestration/ETL tooling 
  •  Proven experience working with large-scale data environments 
  •  Strong problem-solving and communication skills 
  • U.S. citizenship or valid work authorization preferred
Preferred Qualifications
  •  Experience with Azure Data Lake, Databricks, and/or Microsoft Fabric
  •  Solid understanding of data warehousing concepts and architectures 
  •  Experience building semantic models and advanced DAX measures 
  •  Exposure to real-time or streaming pipelines 
  •  Experience working in Agile delivery environments 
Ready to make an impact? Apply now and join us on our journey!