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Data Structure Jobs in Arizona (NOW HIRING)

Data Modeler

Scottsdale, AZ · On-site

$55.50 - $71.75/hr

You'll architect and maintain a Medallion data structure (Bronze, Silver, Gold layers) that delivers reliable, analytics-ready data for business use. Key Responsibilities: * Rebuild and migrate data ...

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 ...

Responsibilities : • Data Structure Expertise: Strong understanding of Salesforce data objects, fields, and relationships relevant to marketing campaigns • Data Cleaning: Ability to use scripts ...

New

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 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 · On-site

$63.25 - $81.50/hr

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

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

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

$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

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

$100K - $115K/yr

... 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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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. Qualifications : Required : • Strong ...

New

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. Qualifications : Required : • Strong ...

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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 Jun 27, 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:
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.

$55.50 - $71.75/hr

Other

Posted 3 days ago


Job description

DAY 1 ONSITE OPPORTUNITY 

Responsibilities:

Migrate existing Informatica-based models into Snowflake using DBT

Should be strong in Sql, Snowflake, DBT, Informatica

Would prefer someone with experience in the waste management domain

About the Role:
Looking for a hands-on Data Modeler with strong technical expertise and waste management domain experience to support a data warehouse modernization initiative. The role focuses on migrating existing Informatica-based models into Snowflake using DBT (Data Build Tool), while designing a unified canonical data model that integrates multiple source systems. You’ll architect and maintain a Medallion data structure (Bronze, Silver, Gold layers) that delivers reliable, analytics-ready data for business use.

Key Responsibilities:

  • Rebuild and migrate data models from Informatica to a modern Snowflake/DBT platform.
  • Design and implement canonical data models that unify multiple operational and transactional data sources into a single data warehouse.
  • Develop and maintain a Medallion Architecture (Bronze, Silver, Gold layers) to ensure scalable, high-quality data pipelines.
  • Collaborate with engineering and business stakeholders to translate data requirements into optimized, reusable models.
  • Build and tune ETL/ELT processes for performance and reliability.
  • Ensure strong data governance, documentation, and lineage tracking across models.

Must Haves:

  • Minimum 6+ years of professional experience in data modeling and data architecture.
  • Strong hands-on experience with Informatica (PowerCenter/IICS), Snowflake, and DBT.
  • Proven experience building canonical data models that combine data from multiple source systems.
  • Practical knowledge of Medallion architecture concepts (Bronze → Silver → Gold).
  • Excellent proficiency in SQL for data transformation, optimization, and troubleshooting.
  • Domain expertise in waste management or environmental services, including operational, billing, fleet, recycling, disposal, and compliance data.
  • Strong communication and documentation skills, with the ability to work cross-functionally with engineering and business teams.