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Remote Data Extraction Jobs in California (NOW HIRING)

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 ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Experience with scalable ETL/ELT, and operating predictive models in production a plus * Experience ...

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 ...

Work on data ETL pipelines, and help improve our AI engine to better organize and process our ... We are a remote team, and your ability to write your thoughts out is critical. * You care about the ...

... data extraction, model extraction, and data poisoning. * Solid understanding on LLM moderation ... Remote or hybrid arrangements are not available for this role. About Our Team: Join our team, known ...

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt. * Strong ...

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

$55 - $75/hr

Experience with the following is essential Batch data integration SQL Preparing data for analysis Experience with the following is a bonus: ETL tools such as Informatica, Talend, Domo or equivalent ...

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time The Opportunity Picarro ... Manage, process, and visualize large, complex scientific datasets to extract actionable insight for ...

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Showing results 41-60

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 cities in California are hiring for Remote Data Extraction jobs?

Cities in California with the most Remote Data Extraction job openings:

Infographic showing various Remote Data Extraction job openings in California as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.

Sr Data Analytics Engineer - Remote

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description


The Data & Analytics team designs, develops, and supports the infrastructure to collect, analyze, and transform large volumes of business-data into enterprise reporting and analytic solutions. The Senior Data Analytics Engineer has strong organizational skills and the ability to manage a diverse work load in a fast paced environment. Job responsibilities include but are not limited to:
Duties and Responsibilities:
  • Analyze large data sets and extract patterns that lead to greater customer insight, optimized performance, enhanced engagement, improved retention, increased revenue and decreased cost.
  • Work with business partners and management teams to the ensure collection and analysis of appropriate data and metrics to facilitate improvements in processes and profit
  • Work with executives and leadership teams to formulate hypotheses and design research aimed at improving key performance indicators
  • Design and develop architecture and data integrity constraints with data infrastructure engineers to ensure the data collection pipeline and data analysis infrastructure meet the needs of the business
  • Identify requirements, design, create, deploy, and support self-service BI reports and cubes to empower discovery and information-sharing for business partners
  • Design, develop, implement, manage and monitor Business Intelligence dashboards
  • Utilize expertise in data modeling, ETL architecture, and report design for department initiatives, and produce detailed documentation including data flow diagrams, logical diagrams, and physical diagrams as needed

Scope (Required):
• Staff supervision and development - No
• Decision making-provides data for decision support, drafts policy
• Travel - less than 5%
• Location- remote, anywhere
• Flex Designation - Flex Workplan Designation
The anticipated salary range for this position is $98,500- $147,800 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and/or Experience:
  • Bachelor of Science degree in Computer Science or Information Systems preferred
  • Masters of Science/Business or Advanced Certifications preferred
  • 4+ years relevant job experience in technology, analytics, or Business Intelligence
  • Experience designing, developing, deploying, and enhancing hi-visibility computer programs, analytics, dashboards and reports
  • Adept at rapid prototyping and deployment of stable and maintainable BI solutions
  • Hands-on experience with data-related programming and other high-level languages preferred
  • Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development
  • Significant experience with modern data analytics infrastructure, such as MS SQL Server (SSIS/SSRS), Tableau, SPSS, TM1, Netezza, Oracle, OBIEE, Financials, etc.
  • Strong knowledge of data structures, analysis, replication and distributed/ relational data & database mapping
  • Significant experience working with very large data sets and performing product- and business-level analysis
  • Hands on experience with SQL query language, data warehouse, RDBMS and common BI tools and techniques
  • Strong computer science, statistics and mathematics background
  • An analytical thinker that excels at analyzing and understanding data to answer questions
  • Equipped to handle responsibility, collaborate and excel in a fast-paced, small team environment
  • The incumbent must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others
Physical Requirements:
  • General office environment, ability to sit for long periods of time. Ability to move about an office.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.