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

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

This position is remote. Responsibilities: * Support and maintain backend processes within Oracle Utilities WAMS v1.9x * Develop and document reusable patterns for data extraction, transformation ...

Senior Product Manager - Data Onboarding

Seattle, WA · On-site +1

$144K - $190K/yr

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... Own and drive the product roadmap for healthcare data connectivity, extraction and onboarding at ...

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

Seattle, WA or San Francisco, CA, Remote (Full-time; Partially Remote or Remote) We are seeking a ... Build and maintain ETL/ELT pipelines, replication strategies, and processes to align data across ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory. • Build and maintain a ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Large-scale processing via Delta Lake, Apache Spark, and cloud-native integrations. * ETL/ELT:

IT Analyst 2 - Data Engineer

Tacoma, WA · On-site +1

$94K - $136K/yr

Career Service - Full Time Remote Employment: Flexible/Hybrid Job Number: 26-00723 Department ... In this exciting data engineer and ETL developer opportunity, you will provide insights to County ...

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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 Seattle, WA? The most popular types of Data Extraction jobs in Seattle, WA 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:
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.
WAMS Technical Resource

WAMS Technical Resource

System One

Seattle, WA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Job description

Job Title: WAMS Technical Resource Location: Seattle, WA – Remote Role Type: 6 + months contract – good chance of extensions Seeking a WAMS Technical Resource who is motivated by variety, is seeking a challenging environment for professional growth, and is interested in running large information technology projects in various customer businesses areas at a Utility client headquartered in the Seattle area. In this position you will be responsible for supporting enhancements, maintenance, and data operations within the current Oracle Utilities Work and Asset Management (WAMS) environment, while also enabling secure file-based integrations to Oracle Cloud. The candidate should have strong backend development skills, SQL expertise, and Unix-based integration capabilities. The ideal candidate has hands-on experience with Oracle Utilities WAM v1.9x, strong data processing and backend skills, and the ability to support existing Unix/Shell automation and file-transfer workflows as they transition toward cloud-based patterns. Location: This position is remote. Responsibilities:

  • Support and maintain backend processes within Oracle Utilities WAMS v1.9x
  • Develop and document reusable patterns for data extraction, transformation, and integration
  • Ensure data design supports operational needs, audit controls, and performance requirements
  • Support ingestion of GDE datasets into Oracle Autonomous Database (ADB).
  • Provide day-to-day technical support, troubleshooting, and data correction across WAMS components
Business Rule Definition & Functional Alignment
  • Collaborate with business stakeholders to understand and document WAMS functional processes
  • Translate business requirements into technical logic and backend data flows
  • Document representations of work orders, labor, materials, and assets within WAMS and ensure alignment to operational workflows
  • Support business process mapping by connecting backend design with field and back-office operations
Data Mapping & Integration
  • Map WAMS data structures for reporting, analytics, and cloud ingestion needs
  • Define transformation logic for exporting WAMS data into CSV, XML, JSON, or other structured formats
  • Architect secure and auditable data-exchange workflows leveraging SFTP and Unix-based file movement pipelines
  • Support the migration of existing file-transfer processes to Oracle Cloud Object Storage
Development & Technical Requirements
  • Develop SQL queries, stored procedures, scripts, and extraction routines for WAMS backend support
  • Build and maintain Shell/Unix scripts used for automation, data processing, and secure transfers
  • Ensure all integrations follow client architectural and security standards
  • Troubleshoot backend and integration issues, identify root causes, and implement lasting solutions
Feedback Loop & System Update Management
  • Develop or refine processes that interpret cloud ingestion feedback or batch responses
  • Create mechanisms to update WAMS with integration results, including reconciliation statuses, error records, and operational flags
  • Ensure all backend synchronization components are traceable and auditable
Testing, QA, and UAT Support
  • Support system integration testing and backend validation activities
  • Prepare test datasets, simulate end-to-end backend scenarios, and assist in triage
  • Document technical components thoroughly to ensure production readiness and long-term supportability
Required Education & Experience:
  • Bachelor’s degree in business, Information Technology, Computer Science or related degree. Additional years of experience may be considered in lieu of degree
  • 5+ years hands-on experience with Oracle Utilities WAM (preferably v1.9x)
  • Strong backend development skillset including SQL, data extraction, and ETL workflows
  • Proficiency in Shell scripting, Unix/Linux environments, and secure file-transfer processes (SFTP)
  • Experience supporting or migrating file-based integrations to Oracle Cloud Object Storage
  • Strong understanding of relational database structures and enterprise data patterns
Preferred Qualifications:
  • Experience working in utility operations or asset management environments
  • Familiarity with transitioning legacy processing pipelines to cloud-native approaches
  • Experience within regulated or municipal utility organizations
  • Background in large-scale data automation or backend pipeline development
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. #M-2 #LI-CB5 Ref: #851-Rockville-S1