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Data Extraction Jobs in California (NOW HIRING)

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation * Define, instrument, and track metrics that measure ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation * Define, instrument, and track metrics that measure ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation * Define, instrument, and track metrics that measure ...

Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation * Define, instrument, and track metrics that measure ...

$134K - $161K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python ...

$134K - $161K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python ...

Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation * Define, instrument, and track metrics that measure ...

Data Engineer (7747)

San Jose, CA · On-site

$174K - $175K/yr

Develop data pipelines for data scientists to extract insights from structured and unstructured data using AI-enabled analytics procedures. Work with Big Data technologies, NoSQL databases, machine ...

Expert proficiency in SQL for complex data extraction, manipulation, and performance optimization. Advanced experience with a statistical programming language (Python or R) for in-depth data analysis ...

Extract, consolidate, and validate data from multiple systems across the manufacturing environment (SAP, MES, manual logs, and other sources) * Ensure data integrity, consistency, and reliability for ...

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Showing results 1-20

Data Extraction information

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
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 Data Extraction jobs in California? For Data Extraction jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in California look for? The top searched job categories for Data Extraction jobs in California are:
Infographic showing various Data Extraction job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Tableau Developer-F2F Interview

Vkore Solutions

Santa Clara, CA • On-site

Contractor

Re-posted 14 days ago


Job description

Required Skills & Qualifications:
  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field.

  • 10+ years of experience in Tableau development.

  • Proficient in Tableau Desktop, Tableau Server, and Tableau Prep.

  • Strong SQL skills for data extraction and transformation.

  • Experience with data modeling, ETL processes, and working with large datasets.

  • Solid understanding of data warehousing concepts.

  • Ability to analyze and visualize complex data in a simple, understandable manner.

  • Familiarity with performance tuning and dashboard optimization.

  • Excellent communication and collaboration skills.