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Data Structure Jobs in Arizona (NOW HIRING)

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

... structure, and performance optimization techniques. 7. Knowledge of database principles, SQL, and experience working with large databases beyond just data access. 8. Exposure to complete SDLC and ...

Big Data Architect Developer

Phoenix, AZ

$63.25 - $81.50/hr

... data structure, and performance optimization techniques. 7. Knowledge of database principles, SQL, and experience working with large databases beyond just dataaccess. 8. Exposure to complete SDLC and ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

The Data Engineer will design and implement data structures and analytical solutions to improve decision-making and operational excellence across various functions. Responsibilities : • Identify ...

Data Migration Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

They must understand data structure, determine data relationships and become a Virtuous expert to properly map data into the most strategic areas within Virtuous. Virtuous Data Migration Engineers ...

Data Migration Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

They must understand data structure, determine data relationships and become a Virtuous expert to properly map data into the most strategic areas within Virtuous. Virtuous Data Migration Engineers ...

This role involves translating complex data structures into clear mapping specifications and ensuring accurate data transformation throughout the migration process. The ideal candidate is comfortable ...

This role involves translating complex data structures into clear mapping specifications and ensuring accurate data transformation throughout the migration process. The ideal candidate is comfortable ...

Data Architect(33397)

Phoenix, AZ

$63.25 - $81.50/hr

Developing and maintaining a formal description of the data and data structures which can include data definitions, data models, data flow diagrams, etc. Responsibilities will also include metadata ...

Understand the underlying data structure for Service Operations * Automate Data Ingestion or Consumption processes using Python for new data or reporting request and existing report processes

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes. Create scalable ETL/ELT processes to extract, cleanse ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Experience with medium to large scale data structures/data lakes * Experience with both Streaming and Batch Data Ingestion (Lambda) * Experience with Java * Must have experience in Streaming ...

Actimize Data Modeler

Phoenix, AZ · On-site

$54.25 - $70.50/hr

... structures and performance. • Support UAT, SIT, and production deployments. • Ensure data governance, lineage, and auditability requirements are met. Required Skills • Strong experience with ...

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Data Structure information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data structure jobs pay per year?

As of Jul 19, 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 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 Arizona? The most popular types of Data Structure jobs in Arizona 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:
Fall 2026 - AI & Data Analytics Intern

Fall 2026 - AI & Data Analytics Intern

onsemi

Scottsdale, AZ • On-site

Part-time

Posted 4 days ago


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description


An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.
onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company's commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.
Key benefits include:
  • Competitive compensation and medical benefits
  • Flexible work hours aligned with academic schedules
  • Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
  • Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi's strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.
Responsibilities
The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a high-priority initiative to improve product ownership visibility, data quality, and operational efficiency across product lines while helping identify and address root causes of organizational and enterprise data structure challenges. The intern will help design and prototype an AI-enabled internal tool that allows employees to quickly identify the correct Product Line Manager or Applications Manager based on product family, part number, or related ownership attributes. In addition to prototype development, the intern will evaluate the underlying process, data governance, and ownership model gaps contributing to the issue and recommend operationalized solutions that can be scaled beyond the initial proof of concept. This role offers hands-on exposure to enterprise data challenges, AI-enabled workflow improvement, and cross-functional problem solving in a semiconductor business environment.
The primary project will focus on building a working prototype or proof of concept for an ownership lookup and recommendation tool. The tool should help users resolve ownership questions more efficiently by consolidating fragmented data sources, applying structured matching logic, identifying gaps or conflicts, and presenting results with clear confidence indicators and exception handling. The project will also include root-cause analysis of the organizational, process, and enterprise data structure issues that create ownership ambiguity, along with practical recommendations for operationalizing a sustainable long-term solution.
Key Responsibilities:
  • Design and prototype an AI-enabled ownership resolution tool that identifies the appropriate Product Line Manager or Applications Manager by product family, part
    number, or related ownership attributes.
  • Collect, consolidate, clean, and normalize ownership data from internal sources into a structured, maintainable data model.
  • Analyze root causes of ownership ambiguity, including gaps in data governance,source-of-truth alignment, process ownership, organizational structure, and
    enterprise system connectivity.
  • Develop search, matching, recommendation logic, confidence indicators, and exception flags to improve ownership lookup accuracy and handle ambiguous or
    conflicting data.
  • Build analytics or dashboard views to track ownership coverage, unresolved mappings, data quality issues, root-cause themes, and prototype performance.
  • Partner with cross-functional stakeholders to validate requirements and outputs, then document prototype logic, limitations, operationalized recommendations, governance improvements, and handoff requirements for future scaling.

Qualifications
Qualifications - External
Requirements:
  • Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering or a related field.
  • Proficiency in Python, SQL, or similar programming languages for data analysis, automation, or prototype development.
  • Experience working with semi-structured, or messy datasets, including cleaning, joining, validating, and transforming data.
  • Demonstrated coursework, project experience, or practical interest in AI, machine learning, natural language processing, automation, or data analytics.
  • Strong analytical and problem-solving skills, with comfort working through ambiguous business problems and incomplete information.
  • Ability to communicate technical concepts clearly to business stakeholders and work effectively with cross-functional teams.
  • Proficiency with Microsoft Excel, PowerPoint, and other productivity tools.

Preferred Skills:
  • Experience with Power BI, Tableau, or other business intelligence and data visualization tools.
  • Exposure to APIs, data pipelines, knowledge management systems, or enterprise data workflows.
  • Familiarity with prompt engineering, retrieval-augmented generation, semantic search, or practical generative AI use cases.
  • Interest in customer experience, operations, product management, or semiconductor industry workflows.
  • Ability to synthesize complex information into clear, actionable insights and executive-ready summaries.

To be considered for an internship, you must be currently enrolled in a degree seeking program.
Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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