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Entry Level Scientific Computing Jobs in California

Design Verification Engineer

Santa Clara, CA

$159K - $195K/yr

This is an entry-level position. Skills and experience may be obtained through coursework, projects ... Computer Science * Strong foundation in logic design and digital circuits; ability to read and ...

Design Verification Engineer

Santa Clara, CA · On-site

$159K - $195K/yr

This is an entry-level position. Skills and experience may be obtained through coursework, projects ... Computer Science * Strong foundation in logic design and digital circuits; ability to read and ...

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Entry Level Scientific Computing information

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$12

$17

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How much do entry level scientific computing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level scientific computing in California is $17.24, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.75 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals in scientific computing, and how can they be overcome?

Entry-level professionals in scientific computing often encounter challenges such as adapting to complex codebases, learning new programming languages or tools, and understanding interdisciplinary project requirements. Collaborating closely with senior team members, actively seeking feedback, and dedicating time to continuous learning can help overcome these hurdles. Additionally, participating in code reviews and leveraging online resources or documentation can accelerate skill development and integration into the team.

What are the key skills and qualifications needed to thrive as an Entry Level Scientific Computing professional, and why are they important?

To thrive as an Entry Level Scientific Computing professional, you need a solid grounding in mathematics, programming (often Python, C++, or MATLAB), and scientific principles, typically supported by a degree in computer science, physics, engineering, or a related field. Familiarity with scientific computing libraries (such as NumPy, SciPy), version control systems (like Git), and computational frameworks is commonly required. Strong problem-solving skills, attention to detail, and effective communication help individuals excel when collaborating with multidisciplinary teams. These skills ensure accurate data analysis, reproducible research, and efficient solutions to complex scientific problems.

What is the difference between Entry Level Scientific Computing vs Data Analyst?

AspectEntry Level Scientific ComputingData Analyst
Required CredentialsBachelor's in Science, Engineering, or related field; basic programming skillsBachelor's in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, finance, healthcare sectors, often office-based
Employer & Industry UsageResearch projects, scientific simulations, modelingData interpretation, reporting, business insights

Entry Level Scientific Computing roles focus on applying programming and scientific methods to research and modeling tasks, often within research or tech environments. Data Analysts primarily interpret data to inform business decisions, working across various industries. While both roles require analytical skills and some programming knowledge, their focus and work settings differ significantly.

What are entry level scientific computing jobs?

Entry level scientific computing jobs are positions for individuals who are beginning their careers in applying computational techniques to solve scientific problems. These roles often involve programming, data analysis, simulation, and modeling in fields like biology, physics, chemistry, or engineering. Typical responsibilities may include writing code to process data, running simulations, supporting research teams, and maintaining computational tools or software. Candidates usually have a background in science, mathematics, engineering, or computer science and are expected to have foundational knowledge of programming languages such as Python, R, or MATLAB. These positions are excellent starting points for gaining experience in computational research and development.
What are the most commonly searched types of Scientific Computing jobs in California? The most popular types of Scientific Computing jobs in California are:
What are popular job titles related to Entry Level Scientific Computing jobs in California? For Entry Level Scientific Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Scientific Computing jobs in California look for? The top searched job categories for Entry Level Scientific Computing jobs in California are:
What cities in California are hiring for Entry Level Scientific Computing jobs? Cities in California with the most Entry Level Scientific Computing job openings:
Infographic showing various Entry Level Scientific Computing job openings in California as of July 2026, with employment types broken down into 3% Locum Tenens, 86% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,851 per year, or $17.2 per hour.
DATA ANALYST ENGINEER I with Security Clearance

DATA ANALYST ENGINEER I with Security Clearance

VSolvit

Norco, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job description

**Position is ON SITE in Norco, CA** Job Summary: The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting, and collaboration platforms. This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint to deliver actionable insights, automate reporting processes, and streamline workflows across teams. The ideal candidate will be a self-motivated individual with strong analytical skills, capable of transforming raw data into clear, value-added reports that improve decision-making and operational effectiveness. This position requires the ability to work in a fast-paced environment and proactively solve problems while supporting mission-critical Navy requirements. As with any position, additional expectations exist. Some of these include, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), staying focused on the assigned tasks, and completing other tasks as assigned Responsibilities: * Develop, design, and maintain interactive dashboards and reports in Power BI, Tableau, and Splunk to support leadership decision-making
* Build and manage SharePoint sites to enhance collaboration, document sharing, and workflow efficiency
* Perform advanced data analysis, including cleaning, structuring, and interpreting large datasets to identify trends and provide actionable recommendations
* Automate recurring reporting processes and data pipelines to improve accuracy and reduce manual effort
* Collaborate with stakeholders to understand requirements and deliver tailored data-driven solutions
* Integrate data from multiple sources, ensuring consistency, accuracy, and security in reports and dashboards
* Provide ongoing monitoring, troubleshooting, and improvement of existing dashboards and platforms
* Recommend and implement workflow improvements, applying independent judgment to enhance performance and system stability
* Document reporting logic, processes, and system configurations for transparency and repeatability
* Support Navy compliance and security requirements when handling and presenting sensitive data Basic Qualifications: * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related field
* 0-2 years of experience in data analytics, business intelligence, or a related technical role
* Proficiency with Power BI, Tableau, Splunk, and SharePoint
* Strong SQL and database query skills, with the ability to handle large datasets
* Demonstrated ability to automate data workflows and reporting pipelines
* Excellent problem-solving skills with strong attention to detail
* Effective written and verbal communication skills for both technical and non-technical audiences
* Must be a U.S Citizen
* Must be able to obtain and maintain Secret level clearance
* If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Preferred Qualifications: * Master's degree in Data Analytics, Information Systems, or related technical discipline
* 2-4 years of professional experience in data analytics, preferably within defense or government environments
* Familiarity with Navy systems, compliance standards, and data security practices
* Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation
* Prior experience in workflow analysis and systems improvement to enhance stability and performance
* Active DoD Secret clearance Company Summary: Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.