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Insurance Computer Science Jobs in Santa Clara, CA

Protingent

Senior Staff CAD Engineer

San Jose, CA · On-site

$65 - $75/hr

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or ... Protingent offers competitive salaries, insurance plan options (HDHP plan or POS plan), education ...

Walmart

(USA) Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Walmart

(USA) Data Scientist III

Cupertino, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Walmart

(USA) Data Scientist III

Hayward, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Walmart

(USA) Data Scientist III

Mountain View, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Walmart

(USA) Data Scientist III

Sunnyvale, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Walmart

(USA) Data Scientist III

Milpitas, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

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All JobsInsurance Computer Science JobsInsurance Computer Science Jobs in Santa Clara, CA

Insurance Computer Science information

Is computer science dead due to AI?

Computer science remains a vital field for insurance professionals, as AI and automation tools enhance data analysis, risk assessment, and decision-making processes. While AI automates certain tasks, expertise in algorithms, programming, and system design continues to be essential for developing and maintaining these technologies. Ongoing learning and adaptation are important for computer science roles in the insurance industry.

What is the difference between Insurance Computer Science vs Insurance Underwriter?

AspectInsurance Computer ScienceInsurance Underwriter
Required CredentialsDegree in Computer Science, Data Analysis certificationsDegree in Business, Finance, or Risk Management
Work EnvironmentTech-focused, data-driven, often in offices or remoteOffice setting, assessing risks, interacting with clients and agents
Employer & Industry UsageInsurance companies, tech firms, insurtech startupsInsurance carriers, brokerage firms, underwriting agencies
Common Search & ComparisonInsurance Computer Science vs Insurance Underwriter

Insurance Computer Science professionals focus on developing and managing insurance-related software, data analysis, and technology solutions. In contrast, Insurance Underwriters evaluate risks and determine policy terms. Both roles are vital in the insurance industry but differ in skills, work environment, and daily responsibilities.

What is Insurance Computer Science?

Insurance Computer Science is a specialized field that focuses on applying computer science principles, such as programming, data analysis, and systems development, to the insurance industry. Professionals in this area develop software applications, analyze large datasets, and create algorithms to streamline insurance processes like underwriting, claims management, and risk assessment. Their work helps insurance companies improve efficiency, reduce fraud, and deliver better customer experiences through technology. As digital transformation continues, the demand for computer science experts in insurance is growing rapidly.

Which CS has the highest salary?

In the field of computer science, roles such as machine learning engineers, data scientists, and software architects tend to have the highest salaries. These positions often require advanced skills, certifications, and experience in areas like AI, big data, and cloud computing.

What are some common challenges faced by computer science professionals working in the insurance industry?

Computer science professionals in the insurance industry often navigate challenges such as integrating legacy systems with modern technologies, ensuring data security for sensitive customer information, and adapting to frequent regulatory changes. Additionally, they may need to collaborate closely with actuaries, underwriters, and business analysts to develop and maintain robust software solutions that support underwriting, claims processing, and risk analysis. The fast pace of technological advancements in areas like AI, machine learning, and data analytics also requires continuous learning and adaptation.

What are the key skills and qualifications needed to thrive as an Insurance Computer Science professional, and why are they important?

To thrive as an Insurance Computer Science professional, you need a strong background in computer science principles, data analysis, and a solid understanding of insurance industry processes, typically supported by a relevant degree. Familiarity with programming languages (such as Python, Java, or SQL), data analytics tools, and insurance software systems is highly valued, and certifications like CPCU or relevant IT credentials can enhance your profile. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with technical and non-technical stakeholders. These skills ensure the creation of robust technology solutions that optimize insurance operations and support sound business decisions.

Are CS grads struggling to find jobs?

Computer Science graduates often find opportunities in various fields, including insurance technology, where skills in programming, data analysis, and cybersecurity are valued. Job market demand remains steady for those with strong technical skills and relevant certifications, though competition can vary by location and specialization.

Which insurance field pays the most?

In the insurance industry, actuarial science and insurance underwriting are among the highest-paying fields, often requiring strong analytical skills and certifications such as the ASA or FSA. These roles typically offer higher salaries compared to claims adjusting or customer service positions, especially at senior levels or with specialized expertise.
What are popular job titles related to Insurance Computer Science jobs in Santa Clara, CA? For Insurance Computer Science jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Santa Clara, CA look for? The top searched job categories for Insurance Computer Science jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Insurance Computer Science jobs? Cities near Santa Clara, CA with the most Insurance Computer Science job openings:
Insurance Computer Science jobs near you
Infographic showing various Insurance Computer Science job openings in Santa Clara, CA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 46% In-person, 27% Hybrid, and 27% Remote job distribution.
Senior Staff CAD Engineer

Senior Staff CAD Engineer

Protingent

San Jose, CA • On-site

$65 - $75/hr

Contractor

Medical, Retirement, PTO

Posted 7 days ago

Job description


Job Title: Senior Staff CAD Engineer
Position Description: Protingent Staffing has an exciting contract Senior Staff CAD Engineer with our client located in San Jose, CA.
Job Description:
  • We are looking for a senior IC EDA/CAD Engineer to own and advance our EDA design flows, IT infrastructure, and signoff methodologies.
  • You will be the technical authority on our EDA environment, setting up and maintaining advanced FinFET PDKs (e.g., 2nm or 3nm), Cadence analog/mixed-signal design flows, and digital implementation environments.
  • You will play a critical role in ensuring first-time-right silicon by developing, deploying, and supporting industry-standard backend signoff flows across RF, Analog, High-Speed IO, and Digital SoC chips.

Job Responsibilities:
  • PDK & Environment Setup: Install, qualify, and maintain advanced foundry PDKs (2nm/3nm FinFET nodes) and manage the use of the underlying IT infrastructure, compute clusters and grid utilization, license utilization.
  • Analog/Mixed-Signal Flow Development: Establish, optimize, and support the Cadence Design Systems front-to-back design environment (Virtuoso, Innovus) tailored for RF, analog, and high-speed IO interfaces.
  • Physical Verification & Signoff: Create, automate, and maintain robust chip-level and IP signoff flows using Siemens Calibre for DRC/LVS and Synopsys StarRC for parasitic extraction.
  • Advanced Reliability Verification: Deploy and support Electro-migration/IR-drop (EMIR) simulation flows and Programmable Electrical Rule Checking (PERC) to guarantee reliability at advanced nodes.
  • Automation & Support: Develop and maintain scripts and utilities that eliminate manual toil, standardize flows across projects, and reduce tool integration friction; act as the primary interface to EDA vendors for issue escalation and roadmap alignment.

Job Qualifications:
  • Education & Experience: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 5+ years of hands-on IC CAD experience.
  • Advanced Node Expertise: Direct experience managing PDKs and signoff flows for advanced FinFET technologies (5nm, 3nm, or 2nm).
  • Tool Proficiency: Deep operational knowledge of Siemens Calibre (DRC, LVS, PERC), Synopsys StarRC, and the Cadence Virtuoso/Innovus ecosystem.
  • Scripting & Automation: Strong scripting ability in SKILL and Perl; working proficiency in Python, Tcl, and Bash/Shell for flow automation and tool integration.
  • Systems & Infrastructure: Solid command of Linux, experience with compute grid/cluster management (e.g., LSF, SGE), and version control systems (e.g., Perforce, ICManage).
Nice To Have:
  • Working knowledge of advanced node design challenges: multi-patterning, dummy fill effects, and layout-dependent effects (LDE) and DFM sign-off.
  • Background in custom layout or circuit design, allowing for deep empathy and effective collaboration with design engineers.
  • Familiarity with foundry engagement processes: design rule waiver requests, PDK issue reporting, and process qualification cycles.
  • Proactive problem-solving mindset with excellent communication skills to support a multi-disciplinary team.

Job Details:
  • Job Type: Contract
  • Pay Range: $65 - $75 an hour.
  • Location: San Jose, CA (Onsite).

Benefits Package: Protingent offers competitive salaries, insurance plan options (HDHP plan or POS plan), education/certification reimbursement, pre-tax commuter benefits, Paid Time Off (PTO), and an administered 401k plan.
About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
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