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Data Structure Jobs in Texas (NOW HIRING)

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 ...

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 ...

247Hire

Data Scientist

Austin, TX · 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.

McKesson

Data Steward

Irving, TX · On-site +1

Perform data profiling and analysis of internal and external data sources to assess data structure, completeness, accuracy, consistency, and quality, identifying trends, anomalies, and potential ...

McKesson Corporation

Data Steward

Irving, TX · On-site

Perform data profiling and analysis of internal and external data sources to assess data structure, completeness, accuracy, consistency, and quality, identifying trends, anomalies, and potential ...

McKesson

Data Steward

Irving, TX · On-site +1

Perform data profiling and analysis of internal and external data sources to assess data structure, completeness, accuracy, consistency, and quality, identifying trends, anomalies, and potential ...

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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 Aug 28, 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 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 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 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
Infographic showing various Data Structure job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Data Engineer

Dallas, TX • On-site

Rootshell Enterprise Technologies, Inc.
11 - 50 employees
Learn more about Rootshell Enterprise Technologies, Inc.external

$107K - $129K/yr

Full-time

Re-posted 12 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/

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