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Remote Data Extraction Jobs in California (NOW HIRING)

REY Engineers, Inc

Extraction Technician

Folsom, CA · On-site +1

Engineers, Inc. đź“Ť Folsom, California | Remote and Hybrid Options | Full-Time About R.E.Y ... What You'll Do Data Extraction & Technical Work * Process and extract topographic and feature data ...

Bluelight Consulting

$134K - $161K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering ... Remote

Bluelight Consulting

$134K - $161K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering ... Remote

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3 ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3 ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Extract, load and transform data (ETL) from structured and unstructured sources * Apply Natural ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Utilize strong database skills to work with large, complex data sets to extract insights * Filter ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Lead database development, data pipeline, integration, ETL, modeling, and data architecture using ...

Innowhyte Inc

Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications. Ensure data ...

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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 California? The most popular types of Data Extraction jobs in California are:
What are popular job titles related to Remote Data Extraction jobs in California? For Remote Data Extraction jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in California look for? The top searched job categories for Remote Data Extraction jobs in California are:
What cities in California are hiring for Remote Data Extraction jobs? Cities in California with the most Remote Data Extraction job openings:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in California as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

iMED EMR data extraction consultant

LWC, Inc.

Santa Ana, CA • Remote

Contractor

Posted 6 days ago

Job description

Job Description

Remote Opportunity

iMED EMR data extraction consultant

Candidate will be working remote

Contract

  • The consultant will develop queries for the iMED DB to extract data per OA requirements. He/She will also tutor team members and respond to questions from various organizations within OA.
  • Work with team members and clients to ensure on-time delivery of data and completion of project milestones
  • Apply business standards, processes and requirements
  • Work independently and efficiently
  • Expert level McKesson Pargon EMR DB knowledge (tables, fields and relationships)


Additional Information

All your information will be kept confidential according to EEO guidelines.

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