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Data Structure Jobs in Arizona (NOW HIRING)

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management. Working knowledge of message queuing, stream processing ...

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

... 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 ...

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

Maintain a strong understanding of target data models, database structures, and data usage patterns to support accurate transformation and validation * Contribute to the architecture and management ...

Principal Data Engineer

Tempe, AZ

$111.30K - $133.70K/yr

Strong foundation in data structures, algorithms, and system design for large-scale data and AI systems * Experience with AWS ecosystem (e.g., S3, EMR, Glue, Lambda, SageMaker) or equivalent cloud ...

Principal Data Engineer

Tempe, AZ

$111.30K - $133.70K/yr

Strong foundation in data structures, algorithms, and system design for large-scale data and AI systems * Experience with AWS ecosystem (e.g., S3, EMR, Glue, Lambda, SageMaker) or equivalent cloud ...

Data Engineers

Phoenix, AZ

$113.70K - $136.50K/yr

Source Control Management tools, including GIT; and Apache NiFi , API REST, Big Data, data structures, Elasticsearch, ETL, Hadoop, HDFS, Hive, Jenkins, JSON, Kafka, Kibana, Linux, NoSQL databases ...

Data Engineers

Phoenix, AZ · On-site

$117.40K - $174.75K/yr

Source Control Management tools, including GIT; and Apache NiFi, API REST, Big Data, data structures, Elasticsearch, ETL, Hadoop, HDFS, Hive, Jenkins, JSON, Kafka, Kibana, Linux, NoSQL databases ...

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

... data structures, metadata, dependency and workload management. • Good knowledge and experience of working with OO Javascript, XHTML, CSS, XML, Ajax and one or more JavaScript libraries (e.g.

Data Engineers

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Source Control Management tools, including GIT; and Apache NiFi, API REST, Big Data, data structures, Elasticsearch, ETL, Hadoop, HDFS, Hive, Jenkins, JSON, Kafka, Kibana, Linux, NoSQL databases ...

... 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 ...

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Showing results 1-20

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 1, 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 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 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 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.

More about Data Structure jobs
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 May 2026, with employment types broken down into 1% As Needed, 47% Full Time, 43% Part Time, and 9% Contract. Highlights an 56% Physical, 2% Hybrid, and 42% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.
Data Engineer

$60 - $70/hr

Other

Posted 17 days ago


Job description

Location: Scottsdale, AZ
Salary: $60.00 USD Hourly - $70.00 USD Hourly
Description: Title: Data Engineer
Location: Scottsdale, AZ
Remote: NO
Length: 6 months (potential contract to hire)
Contact: Brian Merin; ;
Summary:
Leads the design and implementation of data infrastructure, driving the evolution of the company's data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The role is a self-directed position that is comfortable supporting the data needs of multiple teams, systems and products. Provides mentorship and guidance on best practices and software design principles.
The following are essential accountabilities:
Leads the creation and maintenance of optimal data pipeline architecture, ensures scalable, efficient, and secure data processing.
Assembles large, complex data sets that meet functional and non-functional business requirements.
Mentors and guides Data Engineer team members, promoting best practices and design principles.
Engages in advanced data modeling and architecture tasks.
Champions performance tuning, troubleshooting, and optimization of datasets to ensure efficient data delivery.
Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc.
Designs and builds the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and big data technologies.
Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs.
Works with data and analytics experts to strive for greater functionality in our data systems.
Responsible for managing complex queries for reporting and the application consumption.
Troubleshoots and provides root cause analysis for database software and data integrity issues.
Ability to work off-hours with occasional evenings, weekends, and/or holidays.
Position Qualifications
Minimum Education: Bachelor's degree in computer science or related experience.
Preferred Education: Master's degree in computer science or related experience.
Minimum Experience: 7 years as a Data Engineer.
Preferred Experience: 8 years as a Data Engineer.
Required Certification/ License: N/A
Preferred Certification/ License: AWS Data Engineer OR AWS Solution Architect certifications, Snowflake certifications.
Required Skills, Knowledge, and Experience:
Deep understanding of SQL and experience with multiple relational and NoSQL database solutions.
Expertise in optimizing ETL/ELT pipelines and data modeling.
Experience with version control systems and CI/CD pipeline development.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience supporting and working with cross-functional teams in a dynamic environment.
Demonstrated ability to lead projects and mentor junior team members.
Strong analytic skills related to working with unstructured datasets.
Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with relational SQL (SQL Server) and NoSQL (Mongo) databases.
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