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Data Structure Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

Data Modeler

Globe, AZ

$52 - $67.50/hr

By applying normalization and dimensional modeling, the individual optimizes data structures for performance, scalability, and accurate business reporting. DUTIES AND RESPONSIBILITIES: * Creation of ...

IDEALFORCE LLC

Data Analyst/SR (29689)

Phoenix, AZ

Responsible for developing and maintaining a formal description of the data and data structures Assist the Lead Database Architect in defining and implementing data architecture principles to align ...

Kaav Inc.

Data Modeller-Phoenix, AZ

Phoenix, AZ · On-site

... structures and APIs as applicable 2Performs transformation of logical data architectures into physical data designs according to database design best practices and standards 3Provides database ...

IDEALFORCE LLC

Data Architect/SR (28543)

Phoenix, AZ

$66.75 - $89.25/hr

... structures - this can include data definitions, data models, data flow diagrams, etc. (in short metadata). Data architecture to includeD metadata management, business semantics, data modeling and ...

SteerBridge

Data Analyst

Yuma, AZ

Experience with large, relational datasets and data structures * Strong understanding of joins, aggregations, and query optimization * Experience troubleshooting data discrepancies and ensuring data ...

SteerBridge

Data Analyst

Yuma, AZ

$81K - $95K/yr

Experience with large, relational datasets and data structures * Strong understanding of joins, aggregations, and query optimization * Experience troubleshooting data discrepancies and ensuring data ...

SteerBridge

Data Analyst - Yuma, AZ

Yuma, AZ · On-site

... data structures • Strong understanding of joins, aggregations, and query optimization • Experience troubleshooting data discrepancies and ensuring data integrity • Familiarity with ETL ...

Menzo Technologies

IT manager BPM

Tempe, AZ

... 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 ...

Varsity Tutors

College Computer Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

Varsity Tutors

College Computer Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

Revolutional, LLC

Data Scientist III

Chandler, AZ

Develop and engineer data workflows that merge disparate structured and unstructured data sources, resolve data quality issues, and surface data-driven insights at scale * Build and maintain ML ...

Varsity Tutors

College Computer Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

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All JobsData Structure JobsData Structure Jobs in Arizona

Data Structure information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data structure jobs pay per year?

As of Jun 28, 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 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 Arizona? The most popular types of Data Structure jobs in Arizona are:
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:
What job categories do people searching Data Structure jobs in Arizona look for? The top searched job categories for Data Structure jobs in Arizona are:
Data Structure jobs near you
Infographic showing various Data Structure job openings in Arizona as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Data Modeler

Globe Telecom, Inc.

Globe, AZ

$52 - $67.50/hr

Full-time

Posted 25 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Modeler designs conceptual, logical, and physical schemas to support the organization's data architecture. They develop comprehensive source-to-target mapping documents that define the transformation logic and metadata required for data integration. By applying normalization and dimensional modeling, the individual optimizes data structures for performance, scalability, and accurate business reporting.

DUTIES AND RESPONSIBILITIES:

  • Creation of the logical and physical data models for the Gold Layer, focusing on creating subject-oriented, dimensional models (e.g., Star/Snowflake schemas) optimized for high-volume query performance.

  • Define and enforce data standards, naming conventions, metadata management, and data type definitions specific to the consumption layer, ensuring semantic consistency across all critical business domains.

  • Design the required aggregation, refinement, and transformation logic (Business Rule Definition) to convert standardized data from the Silver Layer into consumable, ready-to-use Gold Layer tables.

  • Develop and maintain comprehensive Source-to-Target Mappings (STMs) that detail the transformation journey from the Silver Layer source to the Gold Layer target tables.

  • Ensure the Gold Layer design scales efficiently to handle Globe Telecom's massive volume of telco data (e.g., CDRs, network logs, customer interactions) and evolving business needs.

REQUIREMENTS:

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related quantitative field.

  • Experience in SQL and familiarity with at least one scripting language (Python or Scala) for data transformation.

Advantage if you have:

  • Familiarity in designing and optimizing dimensional models (Kimball methodology) for large-scale data sets.

  • Familiarity in modern cloud data platforms (e.g., AWS, Azure, or GCP) and related Big Data technologies (e.g., Spark/Databricks, Snowflake, or similar cloud data warehouse technologies).

  • Deep understanding of the Medallion Architecture (Bronze, Silver, Gold Layers) and the specific function of the Gold/Consumption Layer

  • Experience in the Telecommunications industry or a similar high-volume transactional sector is a plus.

  • Certifications related to Cloud Data Architecture (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Databricks Certified Data Engineer) is a plus.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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