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Data Structure Jobs in California (NOW HIRING)

Work with semi-structured data (JSON) for ingestion, parsing, and transformation. Collaborate closely with Product Owners, data engineers, analysts, and business stakeholders to translate business ...

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Architect data structure from ingestion to visualization using Snowflake, dbt, and Tableau * Implement best practices for the data stack that provides maintainability, reliability, and efficiency.

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Architect data structure from ingestion to visualization using Snowflake, dbt, and Tableau * Implement best practices for the data stack that provides maintainability, reliability, and efficiency.

Data Engineer III

San Diego, CA · On-site

$121K - $146K/yr

Collaborates with data architects to ensure the output of the physical models meet required needs- e.g., collaborates on data definition, data structure, data content and data usage. * Evaluates and ...

Data Engineer III

San Diego, CA · Remote

$121K - $146K/yr

Collaborates with data architects to ensure the output of the physical models meet required needs- e.g., collaborates on data definition, data structure, data content and data usage. * Evaluates and ...

Data Engineer

Walnut Creek, CA · On-site

$130K - $156K/yr

Works with all types of data including batch and streaming data, structured, semi-structured and unstructured data, files, web downloads, and other sources of data. Creates and improves processes ...

Data Engineer

Palo Alto, CA · Hybrid

$134K - $161K/yr

Works with all types of data including batch and streaming data, structured, semi-structured and unstructured data, files, web downloads, and other sources of data. Creates and improves processes ...

Data Engineer

Sacramento, CA · Hybrid

$122K - $146K/yr

Works with all types of data including batch and streaming data, structured, semi-structured and unstructured data, files, web downloads, and other sources of data. Creates and improves processes ...

Data Engineer

Walnut Creek, CA · Hybrid

$126K - $152K/yr

Works with all types of data including batch and streaming data, structured, semi-structured and unstructured data, files, web downloads, and other sources of data. Creates and improves processes ...

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Data Structure information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data structure jobs pay per year?

As of Jun 13, 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 profession makes $400,000 a year?

In the field of data structures, senior software engineers, data architects, and machine learning engineers with extensive experience and advanced skills can earn salaries around $400,000 annually, especially in high-cost living areas or large tech companies. These roles typically require strong programming skills, knowledge of algorithms, and often advanced degrees or certifications. Compensation varies based on location, company size, and individual expertise.

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 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 engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses in addition to base salary.

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 problem-solving skills to optimize data handling and performance.

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:

$55.75 - $72.25/hr

Other

Posted 3 days ago


Job description

Job Title

Bachelor's degree in Computer Science, Software Engineering, or a related field.

10+ years of experience developing web applications using AWS technologies (EC2, S3, RDS, Lambda, etc.).

Strong coding skills

AWS cloud – ECS far gate, S3, DDB, API Gateway

Good Data & Database skills.

Java, J2EE, Spring, Java script

Problem solving – Data structure, Algorithms