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Data Structure Jobs in Texas (NOW HIRING)

SourceDay, Inc.

Data Integration Engineer

Austin, TX · 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 ...

Triveni IT

Data Modeler

Irving, TX · On-site

$52.50 - $68.25/hr

As a Senior Data Modeler, you will be responsible for designing and modernizing the data structures for the solutions delivered across North America. You will create and maintain conceptual, logical ...

THOMSON REUTERS

Customer Data Analyst

Frisco, TX · Hybrid

Develop working knowledge of the CDP data structure - account and contact data, product entitlements, behavioral signals, and the Golden Record - to ensure audiences are accurate and fit for purpose.

Apex Systems

Data Mapping Analyst

San Antonio, TX · On-site

Analyze complex data structures and relationships within enterprise systems. * Collaborate with development teams during implementation and testing to support data integration efforts. * Contribute ...

New

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Employ machine learning techniques to create and sustain data structures * Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve ...

Arsenault Inc

Data Analyst

San Antonio, TX · Hybrid

Data is the language that this team speaks and every member knows the data at Arsenault like the ... Structure problems, identify solution options and manage evaluation processes including any ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Strong data modeling and data structure design skills. Job Overview This position writes and tests software to aid in development and support of products. Individuals in this role work with Technical ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Strong data modeling and data structure design skills. Job Overview This position writes and tests software to aid in development and support of products. Individuals in this role work with Technical ...

Vytwo

Data Architect

Prosper, TX · On-site

$58.50 - $75/hr

Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers. LOCATION: Minneapolis, MN 55343 Key Responsibilities * Partner with ...

New

Cedent

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Employ machine learning techniques to create and sustain data structures * Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX

$109K - $131K/yr

... data structures Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve data quality issues Lead data-related workshops with ...

YO AI Labs

Snowflake Data Architect

Houston, TX

$61 - $78.25/hr

Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources. * Develop data ingestion and extract-load processes using Informatica , aligning ...

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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 Integration Engineer

Data Integration Engineer

SourceDay, Inc.

Austin, TX • On-site

$113K - $136K/yr

Full-time

PTO

Re-posted 12 days ago

Job description

Company Description
SourceDay is the leading cloud-based software solution that automates the purchase order management process. By seamlessly integrating with ERP systems, SourceDay extends purchasing capabilities by centralizing and managing the PO lifecycle for buyers and suppliers, eliminating manual processes while improving supplier performance.
Job Description
SourceDay specializes in bringing life to our customer's data through our proprietary transformations. These transformations are built, by folks like yourself, across an array of complex ecosystems. Through SourceDay's optimized subscribe and publish model you will have the opportunity to continue enhancing our data pipeline capabilities and onboard new customers at a quick pace. SourceDay needs someone who has the experience in developing data integrations of third-party solutions for various ERPs, like Epicor, Syteline, Microsoft NAV & GP, Visual, Intuitive, Acumatica, and NetSuite. Having worked with one or more of these ERPs is a significant bonus.
Do you like to:
  • Build APIs and Interfaces for others to consume data?
  • Bootstrap data pipelines to be self-sufficient and easily maintainable?
  • Take on big data challenges by applying your mastery of capturing, cleaning, storing, and securing the data you collect?
  • Take pride in your stewardship of the data you collect and the security, visualization, and queryability you are able to provide?

If you answered yes to all of these then you will enjoy being a part of the SourceDay's engineering team.
Qualifications
  • Studies data sources by interviewing customers; defining, analyzing, and validating data objects; identifying the relationship among data objects.
  • Plans data integration process by developing common definitions of sourced data; designing common keys in physical data structure; establishing data integration specifications; examining data applications; examining data models and data warehouse schema; determining best-fit data interchange methods; assessing middleware tools for data integration, transformation, and routing; developing project scope and specifications; identifying factors that negatively impact integration; forecasting resource requirements; establishing delivery timetables.
  • Delivers data integration by implementing shared databases; integrating data shared across legacy, new development, and purchased package environments; developing system modification specifications; mapping data; establishing interfaces; developing and modifying functions, programs, routines, and stored procedures to export, transform, and load data; meeting performance parameters; resolving and escalating integration issues; coordinating actions among users, operations staff, and outside vendors; recommending adjustments as objectives change; documenting operational procedures and data connections.
  • Validates data integration by developing and executing test plans and scenarios including data design, tool design, and data extract/transform.
  • Maintains data warehouse performance by identifying and resolving data conflicts; upgrading data definitions;
  • Improves data integration by designing and evaluating new data interchange formats; improving physical design; rewriting data policy, standards, and procedures;
  • Maintains team accomplishments by communicating essential information; coordinating actions; obtaining expert input; reviewing open issues and action items; contributing information to team meetings and reports; transferring knowledge of data integration process, techniques, and issues to application and support teams.

Requirements
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • Experience: 4-6 Years
  • Strong Analytical and problem-solving skills
  • Strong SQL and database knowledge
  • Good understanding of Data Governance and other Data Quality practices
  • Experience with leveraging and integrating data pipelines within AWS services jungle
  • General networking understanding
  • Installation and Configuration experience with various mid-to-Enterprise market ERP systems like Epicor, Syteline, Microsoft NAV & GP, Visual, Intuitive, Acumatica, and NetSuite
  • Hands-on experience building data processing pipelines (e.g, in Storm, Beam, Spark, Flink, Lambda)
  • Strong experience with object-oriented and/or functional languages (e.g. C#, Java, Scala, Go, Python)
  • Proficiency with metaprogramming languages (e.g. Ruby)
  • Deep understanding of relational as well as NoSQL data stores (e.g., Snowflake, Redshift, BigTable, Spark) and approaches
  • Strong experience in developing services within IIS and SQL Server Strong API development experience in building scalable services

Additional Information
Benefits
  • Unlimited Vacation
  • Onsite Workout Facility
  • Fully stocked kitchen
  • Taco Tuesdays for Breakfast and Donut/Kolache Thursdays

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