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

Troutman Pepper

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Chord Strategy

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 ...

Armavel, LLC

Be Seen First

Automation Integration Developer

Portland, OR · Remote

$110K - $130K/yr

... data extraction, and integration planning. * Hands-on experience automating processes involving ... Flexible and fully remote: Work from anywhere in the U.S. Company Description Armavel is a fast ...

Monks

Associate Director, Data Engineering (Remote)

Portland, OR · On-site +1

$121K - $145K/yr

You will architect robust data engineering solutions and write production-level code to ensure data ... Hands-on experience working with common ETL tools * Expertise across programmatic display, video ...

New

Epiq

Vice President of Product Development

Portland, OR · Remote

Drive platform modernization, including APIs, data models, cloud infrastructure, automation, CI/CD ... extraction, productions, or review workflows. * Experience deploying AI, machine learning, or LLM ...

All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Portland, OR

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 are popular job titles related to Remote Data Extraction jobs in Portland, OR? For Remote Data Extraction jobs in Portland, OR, the most frequently searched job titles 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:
Remote Data Extraction jobs near you
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.

Data Engineer & AI/ML Specialist, Mid Level (Remote)

Jobright.ai

Portland, OR • Remote

$121K - $145K/yr

Full-time

Medical, Vision, Retirement

Posted 29 days ago

Job description

Join to apply for the Data Engineer & AI/ML Specialist, Mid Level (Remote) role at Jobright.ai

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Join to apply for the Data Engineer & AI/ML Specialist, Mid Level (Remote) role at Jobright.ai

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. They are seeking an experienced Data Engineer / AI/ML Specialist to join the development team building a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. The role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure needed to bring the MVP to life.

Responsibilities:

• Design, implement, and optimize OCR and data extraction pipelines for ingesting PDF referral forms and other healthcare documents.

• Develop data transformation and mapping processes to store extracted data into an Azure SQL schema.

• Build and maintain the medallion data architecture (Bronze/Silver/Gold) in Azure Data Lake Storage to support both application workflows and future analytics/model training.

• Implement and optimize search indexing (Azure AI Search) for both structured and unstructured data.

• Integrate Azure OpenAI or equivalent LLM services with retrieval-augmented generation (RAG) to support a natural language query feature.

• Implement initial predictive analytics models (fall risk, infection risk, medication cost forecasting) using heuristics or light ML models, with a path to more advanced modeling in Phase 2.

• Develop a compliance AI agent (MVP version) that runs scheduled checks on documentation and flags potential violations.

• Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized.

• Work in Azure DevOps with sprint-based development, pairing with backend/API developers on AI integration points.

• Participate in architecture/design reviews and provide input on data model decisions.

• Document pipelines, AI integrations, and data flows for future handoff to the client’s internal team.

• Support UAT for AI/data features, including tuning models and validating extracted data.

Qualifications:

Required:

• Hands-on experience with OCR (Azure Form Recognizer / Azure Document Intelligence) and unstructured data processing.

• Strong Python skills for AI pipeline and data processing development.

• Experience integrating LLMs (Azure OpenAI) with RAG patterns.

• Knowledge of basic predictive modeling techniques (classification, regression) and healthcare data compliance considerations.

• Proficiency with REST APIs for integrating external systems (e.g., pharmacy, insurance).

• Understanding of HIPAA compliance and secure handling of PHI.

• Familiarity with healthcare data formats and workflows (HL7, FHIR, eMAR).

• Prior experience working in agile, cross-functional product teams.

• Ability to deliver end-to-end—from data ingestion to model integration to API exposure.

• Strong documentation and knowledge transfer skills.

Preferred:

• Experience in healthcare software development (EHR, EMR, or related domains).

• Familiarity with vector search and semantic search concepts.

• Experience with Azure Machine Learning for model deployment.

• Background in predictive analytics for healthcare outcomes.

Company:

Atmosera help clients to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Founded in 1995, headquartered in Beaverton, Oregon, USA, team size 51-200 employees, currently Growth Stage.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeContract
Job function
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Jobright.ai by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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