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Data Scraping Jobs in California (NOW HIRING)

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

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 with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to integrate and build algorithms Process unstructured data into a form suitable for analysis - and then do ...

Manage onboarding timelines and prioritize work relative to other data induction initiatives (e.g., PromoTracker historical data, image scraping, RV scraping). * Drive harmonization discussions to ...

Experience applying web scraping techniques and data extraction methods using Python tools such as Scrapy, BeautifulSoup, and Selenium; Experience with front-end web technologies (HTML, CSS) for data ...

Data Engineer (7747)

San Jose, CA · On-site

$174K - $175K/yr

Experience applying web scraping techniques and data extraction methods using Python tools such as Scrapy, BeautifulSoup, and Selenium; Experience with front-end web technologies (HTML, CSS) for data ...

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Data Scraping information

What are the typical challenges faced in a Data Scraping role, 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 job?

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 the Data Scraping position, 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:
What job categories do people searching Data Scraping jobs in California look for? The top searched job categories for Data Scraping jobs in California are:
Infographic showing various Data Scraping job openings in California as of June 2026, with employment types broken down into 2% Internship, 20% Full Time, 5% Part Time, 10% Temporary, and 63% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
CLM Data and Governance

CLM Data and Governance

Digital Realty

San Francisco, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Digital Realty rating

9.4

Company rating: 9.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

5th of 207 rated it services


Job description

Job Title: Contract Lifecycle Management (CLM) Data Management & Governance

Digital Realty is seeking a driven and detail-oriented CLM Data Management & Governance professional to join its Contract Management team within the global Legal function. This role plays a critical part in advancing contract data initiatives and strengthening the integrity, accuracy, and governance of key business information.

You will partner closely with cross-functional stakeholders—including the Contract Management team, Contract Management BPO, Contract Data Office (CDO), Legal, and Technology—to deliver reliable, scalable data solutions that support informed decision-making, operational efficiency, and strategic growth.

Contract Data Governance
  • Partner with business teams to define and implement contract data governance frameworks, standards, and quality controls
  • Support CLM data governance to ensure data consistency, compliance, and accuracy across systems
  • Monitor and maintain data integrity; identify and resolve data quality issues in collaboration with the Contract Management team
  • Assist in the development and rollout of minimum viable products (MVPs) for data governance and management
  • Contribute to the design and implementation of AI-driven data scraping, automation, and data quality solutions
  • Identify opportunities to streamline data processes through automation or AI-enabled improvements
  • Recommend system, process, and reporting enhancements to strengthen data-driven decision-making
Legacy Contract Data Readiness
  • Lead and support contract data initiatives focused on readiness for migration and transformation
  • Collaborate with internal teams to deliver proof-of-concepts and data readiness activities
  • Coordinate with internal and external stakeholders to ensure alignment on contract data models, abstraction standards, and delivery milestones
Contract Data Migrations
  • Support contract data mapping, transformation logic, and migration from multiple systems into a single CLM platform
  • Advise on migration strategy to enable downstream integrations and reporting
  • Oversee data cleansing, enrichment, and validation to ensure accuracy, completeness, and consistency of migrated metadata
  • Partner with cross-functional teams to gather requirements, assess upstream/downstream impacts, and document processes
Contract Data Reporting & Analytics
  • Develop, track, and maintain key performance indicators (KPIs) for business and operational performance
  • Build and maintain dashboards, reports, and analytical models to deliver actionable insights
  • Conduct ad-hoc analysis and present clear, data-driven recommendations to stakeholders
  • Standardize reporting and ensure accuracy across business units
Process Rollout & Stakeholder Enablement
  • Partner with business users, leadership, and technical teams to align data initiatives with organizational goals
  • Clearly communicate insights and findings to both technical and non-technical audiences
  • Support training, adoption, and change management for new data tools, reporting solutions, and governance practices
What You'll Need
  • 5+ years of professional experience, including at least 2 years working directly with contract and/or financial data
  • Direct experience with contract management activities and CLM systems (Conga CLM or similar strongly preferred)
  • Experience supporting data governance, data management, and analytics initiatives
  • Strong data analysis skills, including use of AI-enabled tools where applicable
  • Proficiency with data visualization tools (Power BI, Tableau) and SQL
  • Experience defining data models and authoring data dictionaries (preferred)
  • Hands-on experience with data migration projects and transformation efforts
  • Knowledge of end-to-end Quote-to-Cash processes
  • Experience in B2B sales, procurement, or contract technology environments
  • Strong ownership mindset with ability to build end-to-end data processes
  • Excellent critical thinking, problem-solving, and documentation skills
  • Ability to drive change in a complex, global matrix organization
  • Comfortable navigating ambiguity and bringing structure to complex data environments
  • Experience working effectively with globally distributed teams and time zones
  • Project management experience; familiarity with Jira preferred

Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation, and interconnection solutions. PlatformDIGITAL®, the company's global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx®) methodology for powering innovation and managing Data Gravity challenges.

Digital Realty operates 300+ data centers across 50+ metros in 25+ countries on six continents.

You'll join a collaborative, inclusive environment where innovation, accountability, and continuous improvement are encouraged. Digital Realty offers meaningful career development opportunities in a rapidly evolving global organization.

Safety is fundamental at Digital Realty. Protecting people, data, and assets is embedded in everything we do. Together, we are Safely Powering Progress.

Digital Realty offers competitive compensation and benefits designed to reward performance, recognize contributions, and align with company values and objectives.

The base salary range for this role is $120,000 – $150,000. Actual compensation will be determined based on experience, skills, location, and internal equity, and may include eligibility for bonus and benefits consistent with Digital Realty's compensation philosophy.


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