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Data Structure Jobs (NOW HIRING)

Data Modeler

Scottsdale, AZ ยท 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 ...

Data Modeler

$56 - $72.75/hr

Data Modeler For Csiw Project Project- in the middle of a large project around redefining and re-evaluating their data structure. They are dealing with a lot of consolidations and new products. Team ...

Data Quality Engineer

Orlando, FL ยท On-site

$120K/yr

Strong understanding of data structures, data types, and data transformation. * Familiarity with industry data patterns, normalizations rules and data performance tuning. * Ability to perform complex ...

Human Data Architect, Quality

New York, NY ยท On-site

$130K - $160K/yr

You will work shoulder-to-shoulder with foundation-model researchers at our customers to translate model behavior into data structure - what to label, how to label it, how to organize it, how to ...

Analyze the Enablon data structure and recommend improvements for seamless integration with Power BI via ODATA. * Collaborate with Environmental Compliance and Environmental Affairs teams to ensure ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

... data structures and hierarchies, and/or application software solutions to optimize data gathering/analysis and improve data quality. Desired skills - Ability to interact with the customer as the ...

... data structures and hierarchies, and/or application software solutions to optimize data gathering/analysis and improve data quality. Desired skills - Experience with Artificial Intelligence (AI ...

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Data Structure information

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$46K

$165K

$243.5K

How much do data structure jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data structure in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
More about Data Structure jobs
What cities are hiring for Data Structure jobs? Cities with the most Data Structure job openings:
What are the most commonly searched types of Data Structure jobs? The most popular types of Data Structure jobs are:
What states have the most Data Structure jobs? States with the most job openings for Data Structure jobs include:
Infographic showing various Data Structure job openings in the United States 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 $165,018 per year, or $79.3 per hour.
Data Architect, Data Modeling & Integration Design Focus

Data Architect, Data Modeling & Integration Design Focus

TECO

Tampa, FL โ€ข On-site

$60.25 - $77.50/hr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 days ago


Job description

Title: Data Architect, Data Modeling & Integration Design Focus
Company: Tampa Electric Company
Location: Midtown East Tower
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days
Recruiter: Mark Koener
TITLE: Data Architect, Data Modeling & Integration Design Focus
PERFORMANCE COACH: Manager IT Data Analytics & Reporting
COMPANY: Tampa Electric Company
DEPARTMENT: Information Technologies/Advanced Digital Solutions
FOCUS AREAS
โ€ข Advanced Data Modeling and Database Design
โ€ข Cloud Data Platform Expertise
โ€ข Data Governance, Security, and Compliance
โ€ข ETL/ELT and Data Integration Design
โ€ข Data Virtualization and Data Mesh Design
โ€ข Build Data Architecture
POSITION CONCEPT
The Data Architects responsible for the "back end" components of the organizations Data Analytics environment from standards, architecture, and design perspectives. Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging areas, data warehouse and data marts) as well as the design of these structures. Responsible for the strategy and design related to the 'federation' of custom-built data architecture with vendor provided solutions. Provides technical oversight and assures the quality of the work done by data analysts and data engineers and developers. Serve as a subject matter expert with significant, recent hands-on experience with state-of-the-art data integration and cleansing tools available in the SAP and Azure platforms etc. Responsible for assuring that data integration and cleansing tool suites are effectively deployed and applications are developed based on industry and vendor-specified best practices. Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management.
PRIMARY DUTIES AND RESPONSIBILITIES
1. Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP, dashboards, data mining, and statistical analysis. Ensure the architecture meets operational requirements including scalability, security, reliability, and flexibility. Determine the appropriate deployment environment, whether cloud-based or on-premises. (25%)
2. Responsible for establishing best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement (with the Information Architect), ETL testing and release management (with the Change Coordinator), database-level security (with DBAs), and data masking, anonymization, and tokenization. (15%)
3. Translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures. Responsibilities include deploying metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implementing security for data integration and cleansing tools; collaborating on support environments and release management best practices; overseeing the operational environment; and working with DBAs and operations teams to monitor and optimize ETL and data structure performance. (15%)
4. Accountable for the quality of data model and ETL application deliverables and so is responsible for establishing and managing QA related functions including Testing (unit, system, stress, etc.) and Peer reviews (e.g., reviews of data models, ETL application design, etc.) (15%)
5. Provides technical oversight of the activities of ETL developers and data analysts and provide coaching and mentoring regarding technical skills and competencies. (15%)
6. Serves as a technical subject matter expert (SME) to provide consultation. (15%)
QUALIFICATIONS
Education
Required: Bachelor's Degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or related field.
Licenses/Certifications
Preferred: At least one professional certification in specific job-related disciplines preferred in addition to the requirements above.
Direct Experience
Required: 7 years of direct work experience performing the Duties & Responsibilities of this position.
Hands-on experience with state-of-the-art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.
Preferred: Gas or Electric utility experience.
Experience working in large public or private-sector organizations.
Knowledge/Skills/Abilities (KSA)
Required:
โ€ข Deep knowledge of and experience with SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and understanding of SAP HANA, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. platforms and ability to provide thought leadership regarding their deployment.
โ€ข Deep knowledge of and experience in establishing ETL application design standards and in designing and implementing such applications.
Preferred:
โ€ข Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System)
โ€ข Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
โ€ข Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company.
#LI-SC1
TECO offers a competitive Benefits package!!
Competitive Salary *401k Savings plan w/ company matching * Pension plan * Paid time off* Paid Holiday time * Medical, Prescription Drug, & Dental Coverage *Tuition Assistance Program * Employee Assistance Program * Wellness Programs * On-site Fitness Centers * Bonus Plan and more!