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Data Structure Jobs in Texas (NOW HIRING)

... data structure, and relational databases. โ€ข Intermediate experience with data analysis and research. โ€ข Intermediate skills in MS Office Suite. โ€ข Experience with data entry, modeling, and ...

Enterprise Data Modeler (Fraud)

Dallas, TX ยท On-site

$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 ...

Enterprise Data Modeler (Fraud)

Addison, TX ยท 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 ...

Enterprise Data Modeler (Fraud)

Addison, TX ยท 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 ...

C/C++ Developer

Austin, TX ยท 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 ...

Data Engineer

Irving, TX ยท 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 ...

Data Scientist

Austin, TX ยท On-site

$90 - $130/hr

Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures. * Experience with remote sensing, GIS tools, and satellite imagery analysis.

New

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 ...

Data Integration Engineer

Austin, TX ยท On-site

$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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Data Structure information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do data structure jobs pay per year?

As of Aug 8, 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 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?

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 the most commonly searched types of Data Structure jobs in Texas? The most popular types of Data Structure jobs in Texas are:
Infographic showing various Data Structure job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

$107K - $129K/yr

Full-time

Re-posted 21 days ago


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/