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Data Structure Jobs (NOW HIRING)

Data Visualization Architect

Centennial, CO

$65.50 - $84.25/hr

This team is responsible for collecting data from structured / unstructured sources, processing the data with heavy emphasis on statistical analysis, and then packaging the data in the form of ...

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

Partner with the Data Architect on enterprise data structure design, contributing Data Hub process expertise, feasibility assessments, and technical requirements. * Define Data Hub technical ...

Senior Data Platform Engineer

Carmel, IN

$67.25 - $89.75/hr

Partner with the Data Architect on enterprise data structure design, contributing Data Hub process expertise, feasibility assessments, and technical requirements. * Define Data Hub technical ...

DATA ARCHITECT (SQL)

$65.25 - $84/hr

Data analysis, and Modelling Database/ Data Structure Design. Metadata Management and Governance. DB Optimization/Fine tuning. Familiarity with integrating back end DB with .NET UI. The Data ...

... data structure design in DB2, UDB, Oracle, Sybase, Snowflake, Postgres, MongoDB and/or SQL Server using ER/Studio DA or Erwin • Experience using ClearCase, GIT, Remedy, ER/Studio DA • Mortgage ...

$127K - $152.50K/yr

Design and implement data transformation logic to ensure accurate mapping from source to target data structures. * Contribute to the architecture, design, testing, and documentation of software ...

Document analytical methods, data structures, dashboards, and models following internal documentation standards. * Partner with the Human Resources team to develop HR dashboards and metrics ...

Document analytical methods, data structures, dashboards, and models following internal documentation standards. * Partner with the Human Resources team to develop HR dashboards and metrics ...

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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 May 31, 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 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.

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 May 2026, with employment types broken down into 1% As Needed, 45% Full Time, 43% Part Time, and 11% Contract. Highlights an 56% Physical, 2% Hybrid, and 42% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Geospatial Data Structure Specialist

Geospatial Data Structure Specialist

Trinus

Los Angeles, CA • Remote

Contractor

Posted 8 days ago


Job description

Role: Geospatial Data Structure Specialist

Location: Remote

Job Overview

We are seeking a skilled Geospatial Data Structure Specialist to support the development and implementation of a modern GIS-enabled permitting system. This role focuses on GIS mapping, data automation, geospatial data management, and system integration to replace legacy platforms with a scalable, efficient solution.


Key Responsibilities

GIS Mapping & Infrastructure

  • Design and implement GIS mapping frameworks, tools, and infrastructure aligned with modern permitting workflows
  • Develop and maintain geospatial building layers for permits and inspections

Data Management & Automation

  • Automate GIS workflows using Python scripting to improve data accuracy and efficiency
  • Perform spatial and tabular data analysis for reporting and decision-making
  • Ensure high data quality through validation, cleansing, and governance practices

System Integration & Support

  • Configure and manage GIS map services for enterprise applications
  • Integrate GIS platforms with web-based applications and third-party systems
  • Support geospatial data alignment with business systems and workflows

Geodatabase & Feature Management

  • Manage geodatabases, including data loading, transformation, and troubleshooting
  • Oversee building footprint datasets and optimize GIS services performance

Reporting & Metrics

  • Analyze geospatial data usage and provide insights for system improvements
  • Generate reports to support operational and strategic decision-making

Collaboration & Delivery

  • Work with cross-functional teams, vendors, and stakeholders to ensure successful delivery
  • Provide regular updates, documentation, and status reports

Must-Have Skills & Qualifications

  • Strong hands-on experience with ESRI ArcGIS (ArcGIS 10.x or higher)
  • Proficiency in Python scripting for GIS automation
  • Solid experience with SQL / PL-SQL for data querying and transformation
  • Strong understanding of GIS concepts, geospatial data structures, and mapping techniques
  • Experience managing enterprise geodatabases and GIS data workflows
  • Ability to perform spatial and tabular data analysis
  • Experience with GIS map services configuration and troubleshooting
  • Strong focus on data quality, governance, and integrity
  • Experience with system integration and web-based GIS applications
  • Excellent analytical, problem-solving, and communication skills

Trinus Corporation, a leading provider of technology solutions and services with over 25 years of experience, is a certified WBE/MBE/SBE/SDB firm accredited by WBENC, NMSDC, and SBA.

Our mission is to shape the future of work by aligning the right mix of people, process, technology, and innovation to efficiently meet our clients' business objectives.

At Trinus, we understand that finding the right opportunity is pivotal in your career journey. Our staffing services go beyond mere placements; they are about matching your skills and aspirations with the perfect fit.

To learn more about us, please visit our website www.trinus.com