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Data Extraction Jobs in California (NOW HIRING)

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Data Science Engineer

Century City, CA · On-site

The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a ...

OC Sports and Entertainment

Data Scientist

Anaheim, CA

$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 ...

OC Sports and Entertainment

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 ...

OCVIBE

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 ...

Anaheimducks

Data Scientist

Anaheim, CA

$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 ...

OCVIBE

Data Scientist

Anaheim, CA

$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 ...

Centraprise

Data Analyst

Santa Clara, CA · On-site

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 ...

ERM

Data Specialist (Field Based)

San Jose, CA · On-site

The role involves assisting in the development and maintenance of enterprise data models, supporting ETL workflows, and preparing datasets for reporting and dashboards. Responsibilities : • Assist ...

ERM

Data Specialist (Field Based)

San Francisco, CA · On-site

The role involves assisting in the development and maintenance of enterprise data models, supporting ETL workflows, and preparing datasets for reporting and dashboards. Responsibilities : • Assist ...

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All JobsData Extraction JobsData Extraction Jobs in California

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 extraction?

To become a data extraction specialist, develop skills in data analysis, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects in this field.

What are the key skills and qualifications needed to thrive in data extraction, 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?

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:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in California as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Data Engineer/ Marketing Platforms Data Specialist

Programmers.io

Sunnyvale, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Description:

As a Marketing Platforms Data Specialist, you will play a central role in enabling marketing teams to effectively use data for campaign execution, platform integrations, and decision-making. You will partner closely with Marketing Operations, Data Engineering teams to ensure data accuracy, project visibility, and operational excellence across initiatives. This role combines strong data capabilities (SQL, validation, aggregation) with project coordination and marketing platform understanding. You will bridge teams and workflows, drive seamless project execution while ensure data integrity and scalable, compliant systems.

Data & Audience Operations
Build and maintain aggregated datasets for marketing use cases.
Write SQL queries to extract, validate, and segment audiences for campaigns.
Perform data validation and ensure accuracy across systems and stakeholders.
Support data monitoring processes to proactively identify issues.
Project Tracking & Execution Support
Track day-to-day progress of marketing automation and data integration projects.
Coordinate testing, validation cycles, and stakeholder updates.
Maintain clear documentation, timelines, and status reporting across initiatives.
Marketing Platforms & Integrations
Support execution of marketing platform projects (automation, communications, integrations).
Work with cross-functional teams (Marketing, Engineering, Product) to ensure data flows correctly across systems.
Assist in improving operational workflows and reducing manual effort.
Demand Generation Support
Partner with Growth team to enable data-driven campaign execution for prospective customers.
Translate campaign requirements into data logic and audience definitions.
Privacy & Compliance
Ensure data handling aligns with GDPR and data retention policies.
Support validation and documentation required for Privacy reviews.

Minimum Qualifications

5+ years in marketing operations, data operations, or similar roles.
Strong experience with Snowflake data platform, including complex SQL query writing, ETL/ELT pipeline development, and data modeling (table creation, optimization, and maintenance).
Strong SQL skills (audience creation, validation, data extraction).
Solid understanding of data structures and data quality processes.
Experience tracking projects and coordinating across multiple stakeholders.
High attention to detail, especially with data accuracy and validation.
Basic understanding of marketing automation platforms and workflows.

Preferred Qualifications

Familiarity with marketing data ecosystems.
Knowledge of data monitoring or QA frameworks.
Basic HTML, CSS, and JavaScript skills (email or web support).
Exposure to privacy/compliance processes in marketing environments.
Basic understanding of AI/ML concepts and their application in data workflows.

Education

Bachelor’s degree in computer science/IT, Marketing, Business Administration, Analytics or a related field, or equivalent practical experience.

                                                                                                                                   

We are specifically looking for profiles with experience in:
- Snowflake & advanced SQL
- Marketing/Data Operations
- ETL/ELT pipelines and data validation
- Marketing platform integrations & campaign audience support
- Cross-functional project coordination