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Remote Data Extraction Jobs in California (NOW HIRING)

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 ...

Data Engineer II

Aliso Viejo, CA · Remote

$122K - $146K/yr

Experience with ETL, stream processing, real-time pipelines, and batch processing * Familiarity ... with geographically remote teams * Experience with Amazon Web Services at enterprise scale ...

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 ...

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

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 ...

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... Strong SQL and ETL fundamentals - treating extract → transform → load as a deliberate ...

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 ...

Showing results 21-40

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 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 September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.

Senior Software Engineer, CAD Interoperability

Los Angeles, CA • On-site, Remote

$145K - $195K/yr

Full-time

Re-posted 24 days ago


Job description

About Us
Zoo is building the next generation of hardware design tools redefining how hardware products are designed, developed, and built. Our platform combines a modern, cloud-native CAD environment with AI-powered engineering workflows, helping teams design, iterate, and manufacture products faster than ever before. We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and incubated by Embedded Ventures in 2021.
About You
We're looking for curious, innovative, and ambitious self-starters to join our growing team to help us bring our mission to life. We think you'll thrive on our team if you're:
  • Curious at your core, with an eagerness to learn and do things differently
  • Customer-focused, always thinking about ways to improve the user experience
  • Able to operate autonomously and work asynchronously, while also being an effective team player

About The Role
We're looking for a Senior Software Engineer, CAD Interoperability, who can help build the systems that convert native and proprietary CAD formats into Zoo's KCL, our new programming language for 3D design. You'll work at the intersection of CAD data extraction, geometry processing, and code generation, turning models from third-party CAD systems into structured KCL representations. This role is for someone who enjoys digging into complex CAD systems, working with CAD SDKs and APIs, and building robust import pipelines that preserve model structure and design intent as much as possible.
What You'll Do
  • Design, implement, and maintain import pipelines that convert native and proprietary CAD formats into Zoo's KCL.
  • Build systems for extracting feature information from CAD files and applications, including sketches, dimensions, constraints, parameters, feature trees, assemblies, metadata, PMI, and related design intent.
  • Develop extractors using native CAD application APIs and toolkits where interoperability SDKs are insufficient.
  • Translate extracted CAD structure, geometry, parameters, and feature information into KCL that faithfully represents the original model.
  • Build validation, testing, and comparison tools to measure conversion quality across geometry, topology, feature information, assemblies, and generated KCL output.
  • Handle edge cases across proprietary formats, CAD versions, modeling kernels, malformed files, incomplete metadata, and inconsistent vendor API behavior.
  • Collaborate with the file format, modeling, and product teams to improve Zoo's CAD import experience and expand support for real-world customer files.
What You'll Need
  • B.S. in Computer Science, Mechanical Engineering, or a related field, or equivalent experience.
  • Strong professional experience in software engineering, ideally involving CAD, geometry, file formats, code generation, or data extraction systems.
  • Experience working with complex technical data formats, application APIs, SDKs, or translation pipelines.
  • Proficiency in a systems programming language such as Rust or C++, with comfort working across language boundaries and vendor SDKs.
  • Experience building automated tests, validation tools, and debugging workflows for complex technical systems.
  • Ability to work autonomously, investigate unfamiliar systems, and make pragmatic technical decisions in a fast-moving environment.
Nice to Have
  • Strong understanding of CAD model structure, including parts, assemblies, sketches, constraints, dimensions, features, parameters, B-rep geometry, and tessellated representations.
  • Experience with CAD interoperability SDKs such as HOOPS Exchange, CoreTechnologie 3D_Kernel_IO, Open Design Alliance, CAD Exchanger, Datakit, or similar tools.
  • Experience with native CAD APIs such as SOLIDWORKS API, Creo TOOLKIT, NX Open, CATIA CAA/API, Inventor API, or similar.
  • Experience with STEP, IGES, Parasolid, ACIS, JT, glTF, STL, or other CAD and 3D exchange formats.
  • Experience generating structured source code from model data, especially for DSLs or domain-specific modeling languages.
  • Familiarity with KCL or other programmatic CAD workflows.

The salary range for this role is provided below. The final offer will depend on multiple factors including candidate experience, skills, expertise, and market data. Compensation may vary by geography. In addition to salary, we offer competitive equity as well as a full benefits package which may vary by geography as well.
Salary Range
$145,000-$195,000 USD
Zoo is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Zoo team is made up of incredibly talented and unique individuals from across the globe. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, Veteran status, age, or any other trait that unfairly targets a group of people. We encourage everyone interested in our mission to apply!