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Data Structure Jobs in Arizona (NOW HIRING)

... data structure design and SQL Solid knowledge of SOA frameworks, and web services integration via SOAP, REST,JSON, XML, XML-RPC, XSL, XSLT, XPATH, XQuery, WSDL, Java Strong comprehension and ...

... design, data structure design and SQL • Solid knowledge of SOA frameworks, and web services integration via SOAP, REST,JSON, XML, XML-RPC, XSL, XSLT, XPATH, XQuery, WSDL, Java • Strong ...

... data and data structures Assist the Lead Database Architect implementing data architecture principles to align and conform business capabilities Assist in supporting multiple SQL Server data ...

Complex Data Structure Experience - 3+ yrs exp * Visual Studio 2010 /2012 MTM - 3+ yrs exp * Windows 7 - 2+ yrs exp * C# - 2+ yrs exp * SQL Server 2008 R2 - 2+ yrs exp * T-SQL - 2+ yrs exp Additional ...

Experience working with structured, semi-structured, and unstructured data * Strong analytical, problem-solving, and communication skills * Ability to collaborate with Business Analysts, Architects ...

Complex Data Structure Experience - 3+ yrs exp * Visual Studio 2010 /2012 MTM - 3+ yrs exp * Windows 7 - 2+ yrs exp * C# - 2+ yrs exp * SQL Server 2008 R2 - 2+ yrs exp * T-SQL - 2+ yrs exp Additional ...

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions. * Prepare data foundations that allow AI tools to ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions. * Prepare data foundations that allow AI tools to ...

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

Extracting, cleaning, transforming, and organizing structured and semi-structured data (e.g., resolving inconsistencies, handling missing values, normalizing fields) to prepare datasets for analysis.

Data Engineer

Mesa, AZ · On-site

$65K/yr

Key Responsibilities • Design, develop, and optimize data pipelines using Python, Spark, and SQL. • Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g ...

Showing results 41-60

Data Structure information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data structure jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data structure in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 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 Arizona?

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

Infographic showing various Data Structure job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

College Computer Science Tutor

Varsity Tutors

Glendale, AZ • Remote

$18 - $40/hr

Part-time

Re-posted 21 days ago


Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

11th of 24 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online College Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a College Computer Science Tutor
  • Advanced Subject Mastery: Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of computation. Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management, and software design patterns while preparing students for advanced CS coursework, technical interviews, and software engineering careers.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm analysis, data structure implementation, and systems-level programming concepts. Guides students through implementing linked lists, trees, and graphs, analyzing algorithmic complexity, designing software architectures, and solving technical interview-style problems. Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices.
  • Curriculum Awareness & Adaptive Instruction: Familiar with college computer science curricula and common challenges such as understanding pointer-based data structures, analyzing recursive algorithms, and bridging theory with implementation. Adapts instruction using coding exercises, whiteboard problem-solving practice, and project-based assignments to support undergraduate CS students from introductory courses through advanced algorithms, systems, and software engineering.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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