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Remote Data Extraction Jobs in California (NOW HIRING)

Data Architect

Menlo Park, CA · Remote

$75.25 - $96.75/hr

Menlo Park, CA (Remote) Experience: 12+ Years Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a nervous system where ...

... ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications. • Ensure data pipelines are optimized for efficiency ...

ETL Developer - Remote

Calabasas, CA · Remote

$98K - $147K/yr

Reads, analyzes and digests what the company wants to accomplish with its data, and designs the best possible ETL process around those goals. Essential Duties and Responsibilities * Work with ...

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Lead database development, data pipeline, integration, ETL, modeling, and data architecture using ...

ETL Developer - Remote

Calabasas, CA · On-site +1

$98K - $147K/yr

Debugs and resolves data errors. * Develop and perform tests and validate all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements ...

Extract and clean data from various sources to ensure accuracy and consistency. * Identify trends ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial ...

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial ...

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial ...

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial ...

Data Engineer

Irvine, CA · Remote

$123K - $148K/yr

... to analyze and extract meaningful insights from datasets. · Create and maintain reporting ... Remote

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los ... Monitor ETL pipelines and ensure data accuracy * Optimize SQL for Snowflake performance Level III ...

Staff Data Engineer

Los Angeles, CA · On-site +1

$140K - $224K/yr

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... Design, develop, and maintain scalable, reliable, and well-tested data pipelines and ETL processes ...

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Remote Data Extraction information

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 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, and why are they important?

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 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 cities in California are hiring for Remote Data Extraction jobs? Cities in California with the most Remote Data Extraction job openings:
Infographic showing various Remote Data Extraction job openings in California as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

$75.25 - $96.75/hr

Other

Posted 3 days ago


Job description

Job Description Data Architect Location: Menlo Park, CA (Remote) Experience: 12+ Years Job Description Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a nervous system where metadata is active, governance is computational, and data sharing is zero-copy. Mandatory Skills: - Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair)

- Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. - Production-level Open Policy Agent (OPA)/ Policy-as-Code(Zero-Trust) for dynamic, context-aware access control. Other Technical Skills: - Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.

- Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress. - Compute: Trino (GraalVM), StarRocks, DuckDB (WASM). - Orchestration: Dagster, Airflow (Provider-level).

- Semantic Layer: Stardog, Apache Jena, GraphQL Federation. - System Languages: Rust, Clojure, or Java. Note Education M.S./Ph.D

in Computer Science (Formal Methods/Logic) or Computational Mathematics.