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Data Scraping Jobs in California (NOW HIRING)

... data scraping services, and licensing agreements -- evaluating, negotiating, and integrating third-party sources to expand and enrich Albert's proprietary datasets. • Define how customers' own ...

Anti-scraping Security Expert

Encino, CA · On-site

$18.25 - $21/hr

Job Title Anti-scraping Security Expert JD.com is seeking a highly skilled and experienced Anti ... This role is crucial in protecting our valuable data assets, ensuring fair competition, and ...

Director of Data Products

Oakland, CA · On-site

$140 - $180/hr

Manage external data supplier and partnership relationships -- including premium data providers, data scraping services, and licensing agreements -- evaluating, negotiating, and integrating ...

Director of Data Products

Oakland, CA · On-site

$140 - $180/hr

Manage external data supplier and partnership relationships-- including premium data providers, data scraping services, and licensing agreements--evaluating, negotiating, and integrating ...

Manage external data supplier and partnership relationships - including premium data providers, data scraping services, and licensing agreements - evaluating, negotiating, and integrating third-party ...

Sales Coordinator

Carlsbad, CA · On-site

$70K - $80K/yr

Research and prospect for relevant industry events, including data scraping and high-level qualification of target accounts and titles. * Support event execution: pre-event prep (sourcing key titles ...

... data scraping techniques • Prior experience in developing NLP models and systems • Excellent problem-solving and analytical skills • Strong communication and teamwork abilities • Strong ...

Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing). * Design dashboards and APIs ...

Data Engineer

San Jose, CA

$134K - $161K/yr

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). * Work closely with our engineering team to integrate and build algorithms

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145 ...

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145 ...

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Showing results 1-20

Data Scraping information

What are the typical challenges faced in data scraping, and how are they addressed?

Data Scraping professionals often encounter challenges such as dealing with anti-scraping measures, frequent changes to website structures, and managing large volumes of unstructured data. These obstacles require adaptability and creative problem-solving, as well as continuous learning to update scripts and leverage the latest tools. Team collaboration is common—data scrapers may work closely with data analysts, engineers, or business stakeholders to ensure the data collected meets the project's needs. Proactively communicating and staying current with industry best practices helps data scraping specialists efficiently navigate these challenges and deliver high-quality results.

What is a data scraping?

A Data Scraping job involves extracting structured data from websites or online sources using automated tools or scripts. This data is then used for various purposes, such as market research, competitive analysis, or business intelligence. Professionals in this field typically use programming languages like Python or tools like Scrapy and BeautifulSoup to collect and organize data efficiently. However, ethical considerations and legal guidelines must be followed to ensure compliance with website policies and data protection laws.

What are the key skills and qualifications needed to thrive in data scraping, and why are they important?

To excel in Data Scraping, proficiency in programming languages such as Python or JavaScript, familiarity with web protocols, and understanding of data extraction methodologies are essential, often supported by a degree in computer science or a related field. Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium, and knowledge of APIs are commonly required; relevant certifications in data analysis or automation can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help professionals successfully tackle complex data challenges and collaborate with teams. These competencies are vital to reliably gather, process, and deliver valuable data while adhering to legal and ethical standards.

What are the most commonly searched types of Data Scraping jobs in California?

The most popular types of Data Scraping jobs in California are:

Infographic showing various Data Scraping job openings in California as of August 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Contract. Highlights an 100% In-person job distribution.

Director of Data Products

Albert Invent

Oakland, CA • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Albert Invent is a company that builds technology for chemists, creating the first AI-native operating system for materials science. They are seeking a Director of Data Products to define and build their data products portfolio, transforming proprietary datasets into scalable products that drive revenue and customer outcomes.
Responsibilities:
• Define and own Albert’s data product strategy and roadmap, identifying the highest-value opportunities to transform proprietary datasets into standalone products and embedded capabilities that drive revenue and customer outcomes.
• Lead the evolution of our datasets to a governed, productized data ecosystem — establishing canonical, single-source-of-truth golden data assets that serve as the foundation for Albert’s AI, and workflow products.
• Define monetization models for data products, partnering with go-to-market teams to identify target customer segments, craft value propositions, and bring new data products to market.
• Own the full product lifecycle for data products — from discovery and definition through launch, iteration, and ongoing optimization — with clear accountability for adoption, impact, and performance metrics.
• Own and evolve the data pipeline function — including sourcing, aggregation, ingestion, cleaning, and harmonization of global data sources — partnering with Platform Engineering and Data Architecture to ensure reliability, scalability, and enterprise-grade data quality.
• Partner with AI, ML, and data engineering teams to define data requirements and shape how systems are built to support product goals, including feeding Albert’s agentic and intelligence layers with data assets.
• Manage external data supplier and partnership relationships — including premium data providers, data scraping services, and licensing agreements — evaluating, negotiating, and integrating third-party sources to expand and enrich Albert’s proprietary datasets.
• Define how customers’ own proprietary data can be securely used alongside Albert-managed datasets.
• Serve as the company-wide authority on data products — shaping executive-level decisions on data strategy, influencing adjacent product teams, and ensuring a cohesive cross-functional approach that connects data, product, and commercial priorities.
• Engage directly with customers to surface unmet needs and translate insights into product features, enhancements, and roadmap priorities; represent Albert at industry conferences and client meetings as a thought leader in data-driven R&D.
• Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination.
Qualifications:
Required:
• 8+ years of product management experience, with meaningful time spent building and scaling data products in enterprise SaaS or vertical industry environments.
• Proven track record of turning raw data assets into differentiated products or revenue-generating capabilities.
• Deep understanding of modern data ecosystems — including pipelines, architectures, ingestion, transformation, harmonization, and governance — with sufficient technical depth to partner credibly with data and engineering teams.
• Experience managing third-party data licensing, supplier relationships, and partnerships.
• Strong user research instincts and the ability to translate between technical complexity and clear product direction and business value.
• Demonstrated ability to define monetization models and drive commercial outcomes from data products.
• Comfortable owning an ambiguous, nascent capability area — discovering current assets, presenting a compelling vision, and building from the ground up.
• Proven ability to balance product vision with operational rigor — ensuring data pipelines are reliable, scalable, and production-grade.
• Excellent written and verbal communication skills; able to engage with technical and non-technical audiences.
• Collaborative mindset with the ability to work effectively across teams and time zones.
Company:
Albert Invent provides a digital platform for materials science research and development. Founded in 2022, the company is headquartered in Oakland, USA, with a team of 51-200 employees. The company is currently Growth Stage.