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Remote Data Extraction Jobs in California (NOW HIRING)

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 ...

Sequoia Connect

Data Infrastructure Architect

Mountain View, CA · On-site +1

$75.25 - $96.75/hr

Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks. * Deep ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Farmers Insurance

Lead Data Scientist

Woodland Hills, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... ETL and specialized modeling methods to execute projects and lead the team through examples of ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/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 ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in California

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 AI & Supply Chain : 26-02169

Akraya Inc.

San Francisco, CA • On-site, Remote

$38 - $41/hr

Temporary

Posted 20 days ago

Job description


Primary Skills: Google Cloud Platform (GCP) Data Engineering (Expert), BigQuery, Dataproc & dbt (Advanced), ETL/ELT Pipeline Development (Expert), SQL & Data Modeling (Advanced), Supply Chain Data Engineering (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: San Francisco, CA Remote (PST Time Zone)
Pay Range: $38 - $41 on W2
Job Summary:
We are seeking a skilled Data Engineer - Data & AI, Supply Chain to join the Supply Chain Data & AI organization. This role focuses on designing, developing, and maintaining scalable cloud-native data pipelines and data products on Google Cloud Platform (GCP) that power enterprise analytics and AI initiatives across Sourcing, Transportation, and Warehouse Management (WMS). The ideal candidate has strong hands-on experience with BigQuery, Dataproc, SQL, and dbt, along with expertise in building modern ETL/ELT solutions and scalable data platforms.
Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt.
  • Design and maintain high-quality data models supporting enterprise reporting, analytics, and AI use cases.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Collaborate with Product Managers, Business Analysts, Data Architects, Solution Architects, and engineering teams to translate business requirements into scalable technical solutions.
  • Develop reusable data transformation frameworks while adhering to engineering standards and best practices.
  • Optimize data processing performance, scalability, reliability, and cloud cost efficiency.
  • Perform unit testing, data validation, production support, and troubleshooting to ensure high-quality data delivery.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, code reviews, and technical discussions.
  • Create and maintain technical documentation, data flow diagrams, and implementation artifacts.
Must-have Skills:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • 4+ years of Data Engineering experience developing enterprise data solutions.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expertise with BigQuery, Dataproc, SQL, and dbt (Data Build Tool).
  • Strong understanding of ETL/ELT architecture and large-scale data processing.
  • Experience with dimensional data modeling and analytical data warehouse concepts.
  • Experience building scalable cloud-native data pipelines.
  • Knowledge of Git, version control, and CI/CD best practices.
  • Strong analytical, troubleshooting, problem-solving, and communication skills.
  • Experience working in Agile development environments.
Nice-to-have Skills:
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating with Apache Kafka or other event-streaming platforms.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Experience supporting analytics, AI, or machine learning data platforms.
Preferred Qualifications:
  • Experience working within Retail, Apparel, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center Operations.
  • Experience delivering enterprise cloud data solutions using modern GCP technologies.
  • Strong understanding of scalable data architecture and cloud-native engineering best practices.
  • Self-motivated team player with excellent collaboration skills and a passion for building reliable, high-performance data solutions.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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