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Data Extraction Jobs in California (NOW HIRING)

Design and develop data preparation components and processes that extract and transform data across disparate database tables (structured and unstructured data) by creating aggregates tables for ...

Alteryx Data Engineer

Richmond, CA · On-site

$131K - $157K/yr

The ideal candidate will have strong expertise in ETL processes, data modeling, automation, and data quality management, with the ability to deliver scalable data solutions that support business ...

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data & Analytics Technologies SQL - Advanced querying, data extraction, analysis. Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports.

What You'll Do Data Extraction & Technical Work * Process and extract topographic and feature data from LiDAR and point cloud datasets (MTLS, UAV, TLS, and bathymetric). * Utilize MicroStation and ...

Design, develop, and maintain scalable ETL/ELT pipelines using Google Cloud Platform services. * Build and optimize data warehouses and data marts using BigQuery . * Develop and manage workflows and ...

... extraction, exploratory and confirmatory analysis, modeling, and validation • Design and develop advanced ML or Agentic AI solutions, including systems that integrate LLMs with domain data and ...

Data Engineer

Menlo Park, CA · On-site

$134K - $162K/yr

Responsibilities Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive leveraging an ...

ETL Developer

Aliso Viejo, CA · On-site

$53 - $58/hr

Perform data extraction, transformation, and loading (ETL) from various OLTP and flat file sources. * Develop and optimize SQL and PL/SQL scripts, stored procedures, and complex queries. * Work ...

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Data Extraction information

See California salary details

$11

$27

$68

How much do data extraction jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data extraction in California is $27.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.60 per hour, depending on experience, location, and employer.

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.

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 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:
What cities in California are hiring for Data Extraction jobs? Cities in California with the most Data Extraction job openings:
Infographic showing various Data Extraction job openings in California as of June 2026, with employment types broken down into 7% As Needed, 7% Full Time, 73% Part Time, and 13% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $57,396 per year, or $27.6 per hour.

iMED EMR data extraction consultant

LWC, Inc.

Santa Ana, CA • On-site

Contractor

Posted 25 days ago


Job description

Company 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)

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