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Freelance Data Extraction Jobs in California (NOW HIRING)

Solomon Page

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

Develop robust ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Solomon Page

Data Engineer

Pleasanton, CA · On-site

$60 - $65/hr

Build and optimize ETL/ELT pipelines for enterprise data ingestion, transformation, and publishing ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Gratia

Data Manager - Insurance

Los Angeles, CA · On-site

Own source-to-target mapping end-to-end - extract, transform, enrich, cleanse, and map data from ... Flexible Freelance Model: This is a long-term contract/freelance role designed for independent ...

New

Solomon Page

Manager Data Engineer

San Francisco, CA · On-site

$90/hr

Automate data workflows and ETL processes to improve efficiency and reduce manual effort ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Inference

Filmmaker / Storyteller

San Francisco, CA · On-site

$100K - $140K/yr

... inside data centers with demand from developers building AI-powered applications. We currently ... Extract compelling stories from our team and technology, making complex AI/distributed systems ...

All JobsData Extraction JobsFreelance Data Extraction JobsFreelance Data Extraction Jobs in California

Freelance Data Extraction information

What is the difference between Freelance Data Extraction vs Data Entry Specialist?

AspectFreelance Data ExtractionData Entry Specialist
CredentialsBasic computer skills, familiarity with data extraction toolsTyping speed, accuracy, basic computer skills
Work EnvironmentRemote, project-basedOffice or remote, often in-house
Industry UsageMarket research, web scraping, data collectionDatabase updates, form filling, record management
Search & Comparison IntentFocus on extracting data from various sourcesFocus on inputting data into systems

Freelance Data Extraction involves collecting data from websites, PDFs, or databases, often requiring specialized tools. Data Entry Specialists focus on inputting and managing data within systems. While both roles require accuracy and computer skills, Freelance Data Extraction emphasizes data collection from external sources, whereas Data Entry Specialists handle internal data management 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 Freelance Data Extraction jobs in California? For Freelance Data Extraction jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Data Extraction jobs in California look for? The top searched job categories for Freelance Data Extraction jobs in California are:
What cities in California are hiring for Freelance Data Extraction jobs? Cities in California with the most Freelance Data Extraction job openings:
Freelance Data Extraction jobs near you

Lead Data Engineer

Solomon Page

San Francisco, CA • On-site

$134K - $161K/yr

Contractor

Medical, Dental, Retirement

Posted 9 days ago

Job description

We are seeking a hands-on Lead Data Engineer to join the Data & AI Supply Chain organization and drive the design, development, and delivery of enterprise-scale data products on Google Cloud Platform (GCP). This role will support Supply Chain initiatives across Sourcing, Transportation, and Warehouse Management Systems (WMS) by building scalable cloud-native data solutions that enable advanced analytics and AI-driven decision-making. The ideal candidate will bring deep expertise in modern data engineering, cloud-native architectures, ETL/ELT development, and enterprise data modeling while collaborating with cross-functional business and technology teams.
  • Rate Range: $5065/hr on W2 (DOE)

Responsibilities:
  • Design, develop, and implement scalable data pipelines and enterprise data products on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Design scalable data models supporting analytical and operational reporting requirements.
  • Develop robust ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems.
  • Collaborate with Product Managers, Business Analysts, Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
  • Lead technical design discussions and perform code reviews to ensure engineering quality and best practices.
  • Optimize cloud-based data processing for performance, scalability, reliability, and cost efficiency.
  • Implement monitoring, testing, and operational best practices for production workloads.
  • Build reusable frameworks, engineering standards, and technical documentation.
  • Support production issue resolution and continuous improvement initiatives.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and estimation.
  • Mentor junior engineers and promote engineering best practices.

Required Qualifications:
  • 8+ years of experience in Data Engineering with demonstrated technical leadership.
  • Strong hands-on experience building enterprise data platforms on Google Cloud Platform (GCP).
  • Expert-level experience with Dataproc, BigQuery, SQL, and dbt.
  • Strong understanding of modern ETL/ELT architecture and large-scale data processing.
  • Experience designing dimensional, normalized, and analytical data warehouse models.
  • Experience building scalable cloud-native data pipelines.
  • Experience with Git, CI/CD pipelines, and software engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder collaboration skills.
  • Experience working within Agile development environments.

Required Skills:
  • Google Cloud Platform (GCP)
  • Dataproc
  • BigQuery
  • SQL
  • dbt
  • ETL / ELT
  • Data Modeling
  • Cloud Data Engineering
  • Git
  • CI/CD
  • Agile Methodologies

Technical Skills:
  • Google Cloud Platform (GCP)
  • Dataproc
  • BigQuery
  • SQL
  • dbt
  • Git
  • CI/CD Pipelines
  • Data Warehousing
  • ETL / ELT Development
  • Cloud-native Data Architecture

Preferred Qualifications:
  • Experience with Apache Airflow.
  • Experience integrating Apache Kafka or other streaming technologies.
  • Hands-on experience with PySpark.
  • Strong Python programming skills for data engineering and automation.
  • Experience with data quality, metadata management, and data governance.
  • Retail or Apparel industry experience.
  • Experience supporting Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center operations.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.
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