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Computer Science Engineer Jobs in California (NOW HIRING)

1 point system

Data Science Engineer

Century City, CA · On-site

Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline preferred * Hands-on experience with Generative AI ...

Exponent Inc.

Computer Scientist (Ph.D.)

Menlo Park, CA · On-site

$140K - $154K/yr

We are committed to engaging multidisciplinary teams of science, engineering, and regulatory ... Electronic and computer laboratory testing * Reporting that clearly illustrates and explains ...

Noblis

Computer Engineer III

San Diego, CA · On-site

$127K - $198K/yr

Apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and systems. * Analyze users' needs ...

Noblis

Computer Engineer II

Encinitas, CA · On-site

$78K - $108K/yr

Apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and systems. * Analyze users' needs ...

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All JobsComputer Science Engineer JobsComputer Science Engineer Jobs in California

Computer Science Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computer science engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for computer science engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What do computer science engineers do?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What is a computer science engineer?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

What are the key skills and qualifications needed to thrive as a computer science engineer?

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.
What are popular job titles related to Computer Science Engineer jobs in California? For Computer Science Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineer jobs in California look for? The top searched job categories for Computer Science Engineer jobs in California are:
What cities in California are hiring for Computer Science Engineer jobs? Cities in California with the most Computer Science Engineer job openings:
Computer Science Engineer jobs near you
Infographic showing various Computer Science Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Re-posted 8 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
 
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
 
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
 
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms