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Data Structure Jobs in California (NOW HIRING)

ph7

JAVA Architect

California City, CA

$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 ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Responsibilities : • Develop and maintain a comprehensive understanding of Abaka AI's dataset library, including data structure, quality, and applicable use cases across modalities (text, image ...

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 ...

Jobsbridge

C++ Developer

San Jose, CA

$57.50 - $77.25/hr

Company Description EApps Tech LLC Skill C++ and Data Structure. Location San Jose, CA Total Experience 8 yrs. Max Salary $ DOE Per Hour Employment Type Contract Jobs (Temp/Consulting) Job Duration ...

BayOne Solutions

Core Java Developer

San Francisco, CA · On-site

Responsibilities: Our Client is looking for Core Java Engineers with strong Data Structure, Algorithms, Multi-threading, Concurrency, experience. Additional Information All your information will be ...

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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 Jul 14, 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 are data structures?

Data structures are specialized formats for organizing, processing, and storing data in computers so that it can be accessed and modified efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. Each data structure is designed to solve specific types of problems and optimize certain operations such as searching, sorting, or inserting data. Understanding data structures is fundamental for programming and software development, as they directly impact the performance and scalability of applications.

What is the salary of a data structure?

A data structure is a fundamental concept in computer science and not a job role, so it does not have a salary. However, professionals skilled in data structures, such as software developers and data engineers, typically earn salaries ranging from $60,000 to over $120,000 annually depending on experience, location, and industry. Proficiency in algorithms, programming languages, and tools like Python or Java can influence earning potential.

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 is a Data Structure job?

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 jobs use data structures?

Data structures are fundamental in many jobs related to software development, such as software engineers, data analysts, and database administrators. These roles require understanding and implementing data structures like arrays, trees, and graphs to optimize algorithms and manage data efficiently.

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 is a data structure job?

A data structure job involves designing, implementing, and maintaining data structures that organize and store data efficiently for software applications. These roles often require knowledge of algorithms, programming languages like Python or C++, and understanding of how data structures impact system performance.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand areas like technology companies or specializing in fields such as machine learning or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses as part of compensation packages.

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 are the most commonly searched types of Data Structure jobs in California? The most popular types of Data Structure jobs in California are:
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

JAVA Architect

ph7

California City, CA

$77.25 - $104.25/hr

Other

Posted 13 days ago

Job description

Company Description

Telecom Products Cloud Company


Job Description

Strong Advanced Java.

Strong architectural knowledge of RDBMS (Oracle/DB2/MySQL).

Hands on Designed and developed Distributed systems.

Hands on Multithreaded, Multi core programming.

Hands on using various Profiling and debugging tools.

Worked on Big Data Analytics.

Worked on Web Application Platform.

Exposure to MPP, Columnar Databases, Enterprise Architecture patterns.

Worked on BI or Reporting Frameworks.

Strong Algorithm and Data structure knowledge.

Service oriented Architecture knowledge.

Qualifications

Strong Advanced Java.


Strong architectural knowledge of RDBMS (Oracle/DB2/MySQL).


Hands on Designed and developed Distributed systems.


Hands on Multithreaded, Multi core programming.


Hands on using various Profiling and debugging tools.


Worked on Big Data Analytics.


Worked on Web Application Platform.


Exposure to MPP, Columnar Databases, Enterprise Architecture patterns.


Worked on BI or Reporting Frameworks.


Strong Algorithm and Data structure knowledge.


Service oriented Architecture knowledge.

Additional Information

Salary best in the Industry 

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