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Remote Data Extraction Jobs in California (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience building end-to-end ETL pipelines * Experience utilizing REST APIs * Experience with ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Extract and clean data from various sources to ensure accuracy and consistency. * Identify trends ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Jj

Comm Ops Data Engineer - Shockwave Medical

Santa Clara, CA · On-site +1

$79K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The position is FULLY REMOTE and can sit anywhere in the US . At Johnson & Johnson, we believe ... Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from ...

Noor Staffing Group

AI Engineer, Mortgage Automation

Irvine, CA · Remote

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote * Full time, exempt Responsibilities * Design and deploy AI agents that handle document analysis, decision support, data extraction, and customer engagement. * Build cloud based process flows ...

Noor Staffing Group

AI Engineer, Mortgage Automation

Irvine, CA · Remote

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote * Full time, exempt Responsibilities * Design and deploy AI agents that handle document analysis, decision support, data extraction, and customer engagement. * Build cloud based process flows ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

  • Life

  • Retirement

  • PTO

The company is fully remote across the US and Canada and operates with a transparent salary ... Strong SQL and ETL fundamentals - treating extract → transform → load as a deliberate ...

WilsonCTS

Data Scientist III

Mountain View, CA · On-site +1

$85/hr

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for ... Writing complex queries to extract, join, and transform data from relational databases. * Data ...

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Showing results 21-40

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Remote Data Extraction information

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?

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.

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 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.

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 August 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 29 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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