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Data Structure Jobs in California (NOW HIRING)

ph7

JAVA Architect

California City, CA · On-site

$77.25 - $104.25/hr

Strong Algorithm and Data structure knowledge. Service oriented Architecture knowledge. Qualifications Strong Advanced Java. Strong architectural knowledge of RDBMS (Oracle/DB2/MySQL). Hands on ...

Sonsoft Inc

Senior Data Architect

Torrance, CA · On-site

$70.25 - $94/hr

Provide expert data modeling an data validation services that produce flexible, extensible data structure design solutions that support effective business decisions * Map entities to use cases and ...

Amat

Data Scientist

Santa Clara, CA · On-site +1

$142K - $196K/yr

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources Performs ad-hoc statistical ...

Applied Materials

Data Scientist

Santa Clara, CA · On-site

$142K - $196K/yr

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources Performs ad-hoc statistical ...

Amat

Data Scientist

Santa Clara, CA · On-site +1

$142K - $196K/yr

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources Performs ad-hoc statistical ...

Amat

Data Scientist

Santa Clara, CA · On-site +1

$170K - $234K/yr

Works in project teams as subject matter expert to design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources ...

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All JobsData Structure JobsData Structure Jobs in California

Data Structure information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data structure jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data structure in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a data structure?

A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.

What are the key skills and qualifications needed to thrive as a data structures engineer, and why are they important?

To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.

What are some common challenges faced by professionals working with data structures in software development?

Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.

What is the difference between Data Structure vs Data Analyst?

AspectData StructureData Analyst
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis certifications, degree in related fields
Work EnvironmentSoftware development, programming, algorithm designBusiness, finance, marketing, data interpretation
Industry UsageSoftware engineering, computer scienceBusiness intelligence, marketing, finance

Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.

What are popular job titles related to Data Structure jobs in California?

For Data Structure jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Structure jobs in California look for?

The top searched job categories for Data Structure jobs in California are:

Data Structure jobs near you
Infographic showing various Data Structure job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Peoplesoft Data Converstion Lead

Sacramento, CA • On-site

Telligentech
See more jobs at Telligentechexternal

Contractor

Re-posted 23 days ago

Job description

Job Description

Role: PeopleSoft Data Conversion Lead

Location: Sacramento, CA

Start Date: 2/2014 (could be sooner)

Duration: 12+ months

Role Description:

Responsible for design, data mapping, and conversion approach for all legacy data feeds.

Define the conversion approach, which includes the methods and industry standards.

Manage relationship with client counterpart, and transfer knowledge accordingly.

Work with client departments to prepare for conversion testing and deployment.

Develops data process flows, which will align with business processes.

Define the data requirements and structure for the application.

Model and design the application data structure, storage and integration.

Required Experience:

Two (2) years of experience serving in the capacity of Data Conversion Lead in at least one (1) project implementing PeopleSoft Financials software.

One (1) year of experience serving in the capacity of Data Conversion Lead for at least one (1) public sector IT project for at least 7,500 users (user IDs).

Preferred Experience:

Strong California State Government experience

Skills:

Data Conversion & Migration

PeopleSoft Financials

PeopleSoft-Public Sector

Tech Delivery Architecture

Technology Architecture Design

Additional Information
Thanks & Regards,
Rahul | Telligen Tech,INC| 
Phone: 614 321 8003/614-364-4111  |Fax: 646 827 7559 |
Email:  rahul@telligentech.com | http://telligentech.com |

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