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Data Structure Jobs in Texas (NOW HIRING)

BOK Financial

Enterprise Data Modeler (Fraud)

Addison, TX · On-site

$53 - $68.75/hr

The Enterprise Data Modeler is responsible for drafting and managing critical data structures for current and future needs. This position provides technical direction, design, development ...

BOK Financial

Enterprise Data Modeler (Fraud)

Dallas, TX

$54.25 - $70.25/hr

The Enterprise Data Modeler is responsible for drafting and managing critical data structures for current and future needs. This position provides technical direction, design, development ...

PMG

Structured Data Senior Lead

Dallas, TX · On-site

$66.50 - $89/hr

Vertical Business Leads and Client Strategy teams to align structured data decisions with commercial goals * Media teams across Search, Social, Programmatic, and Retail Media to ensure feeds are ...

Nastech Global

C/C++ Developer

Austin, TX · On-site

$48.50 - $65.50/hr

C/C++ Developer with Data Structure and Relational DB Location: Austin, TX/Sunnyvale, CA (onsite) Job Type: Full time Minimum Qualifications • BS in Computer Science/related fields with 5+ years of ...

PMG

Structured Data Senior Lead

Dallas, TX · On-site

$66.50 - $89/hr

As a Structured Data Senior Lead, you will architect and evolve structured data solutions that directly impact media performance, personalization, and automation. * Own and evolve structured data ...

Ruri Software Technologies LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Job Titile: Data Engineer Work Location; Irving, Texas Duration: 8+ Months Specific Skills ... Experience or knowledge of stream-processing systems: i.e., Storm, Spark-Structured-Streaming ...

SourceDay, Inc.

Data Integration Engineer

Austin, TX

$113K - $136K/yr

Plans data integration process by developing common definitions of sourced data; designing common keys in physical data structure; establishing data integration specifications; examining data ...

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All JobsData Structure JobsData Structure Jobs in Texas

Data Structure information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do data structure jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data structure in Texas is $153,740.00, 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 Texas? The most popular types of Data Structure jobs in Texas are:
What are popular job titles related to Data Structure jobs in Texas? For Data Structure jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Structure jobs in Texas look for? The top searched job categories for Data Structure jobs in Texas are:
Data Structure jobs near you

Data Engineer

Rootshell Enterprise Technologies, Inc.

Dallas, TX • On-site

$107K - $129K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

  • Coordinate with app teams, architects and key stakeholders to develop and achieve objectives for canonical modeling & data architecture.
  • Design and provide support to all data management & metadata methodologies according to required standards.
  • Administer mapping of all data sources and movement and analyze it to ensure appropriate quality of all data. Manage various data associate problems such as system configuration and integration on multiple platforms.
  • Prepare documents for data architecture and maintain knowledge on large data structure as well.

Skills you need :-
  • Experience in building canonical models, entity relationships and metadata management framework
  • Experience in optimizing APIs to improve processes like CPQ, Q2C
  • Experience in API Management & Gateway technologies like APIGEE
  • Experience in NoSQL like MongoDB, Cassandra
  • Experience in deploying data applications into Amazon EKS (Kubernetes)
  • Experience in Data Ingestion, ETL processing & exposing APIs on Data Lakes/Data Hubs
  • Experience in understanding different architectures (SOA, EAI) and other frameworks.
  • Solid foundation in Service Oriented Architecture(SOA) principles and service modeling
  • Working experience in EDI, XML, Flat file transactions and communication.
  • Must have superior knowledge of XML, XSD, WSDL, SOAP, REST, HTTP, JMS, FTP, XSLT, WSS and SSL.

Thanks,
Himabindu
himabindu@rootshellinc.com
P:408-239-4600 EXT 5052
https://www.linkedin.com/in/hima-bindu-60818116b/

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