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Data Structure Jobs in Georgia (NOW HIRING)

Apply established data structure, documentation, and governance standards to help ensure data productsare structured and governed to be AI‑ready and enable downstream use by data agents and ...

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools ...

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes. Create scalable ETL/ELT processes to extract, cleanse ...

Enterprise data structures * Apply best practices for performance optimization and scalability. SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL * SQL ...

Marketing Technology Data Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

This role involves collaboration with marketing, data engineering, and analytics teams to ensure high-quality data structures across various MarTech platforms. Responsibilities : • Design ...

Setting up new data structures across a group of dispersed data sets, sources and formats * Managing the data collection process, providing ongoing status reports, externally to clients and ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Define and enforce standards for data modeling, pipeline design, and code structure. * Guide the transition from Azure Synapse to Microsoft Fabric. * Ensure pipelines are used strictly for scheduling ...

Data Modeler Engineer

Atlanta, GA

$52.75 - $68.25/hr

Define enterprise data modeling standards, structures, and best practices supporting Snowflake environments * Conduct impact analysis and ensure model alignment with business and reporting ...

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

... data structures that support analytics, AI/ML, and activation. • Develops and deploys propensity models to support customer segmentation, targeting, and personalization initiatives • Design and ...

You'll translate enterprise architecture standards into domain-aligned designs, define consistent data structures and semantics, and partner with engineering, analytics, and governance teams to ...

You'll lead the design of architecture standards and domain-aligned data structures that power analytics, AI, operational reporting, and data product innovation. Your work will ensure that our data ...

Data Architect Sr

Atlanta, GA · On-site

$64.75 - $86.50/hr

Bachelor's and following related experience: * 3-5 years of Application Development and deployment experience * 2+ Experience with creating Data Dependency, Data Structures and Data Access controls ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... structures, queries, and transformation logic to improve performance and scalability. • Analyze existing data models and recommend modernization opportunities. • Validate migrated data and ...

React JS Developer

Atlanta, GA · On-site

$100K - $116K/yr

Experience with data structure libraries (e.g., Immutable.js) * Knowledge of isomorphic React is a plus. * Familiarity with RESTful APIs. * Knowledge of modern authorization mechanisms, such as JSON ...

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Data Structure information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do data structure jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data structure in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

What profession makes $400,000 a year?

In the field of data structures, senior software engineers, data architects, and machine learning engineers with extensive experience and advanced skills can earn salaries around $400,000 annually, especially in high-cost living areas or large tech companies. These roles typically require strong programming skills, knowledge of algorithms, and often advanced degrees or certifications. Compensation varies based on location, company size, and individual expertise.

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 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 engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses in addition to base salary.

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 problem-solving skills to optimize data handling and performance.

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 cities in Georgia are hiring for Data Structure jobs? Cities in Georgia with the most Data Structure job openings:
Infographic showing various Data Structure job openings in Georgia as of June 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.
Data Product Owner

Data Product Owner

Textron

Augusta, GA • On-site

Other

Posted 8 days ago


Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

27th of 60 rated aerospace companies


Job description

Data Product Owner

Description

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation

vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets

products under several different brands. Its vehicles are found in environments ranging from golf courses to

factories, airports to planned communities, and theme parks to hunting preserves.

Responsibilities:

  • Serve as the product owner for assigned data products, accountable for accuracy, completeness, usability,and alignment with defined business use cases, in partnership with data engineering, analytics, andbusiness stakeholders.

  • Define and maintain data product requirements for assigned data products, and apply established successmetrics, and quality standards in partnership with business stakeholders, analytics, and IT teams.

  • Monitor ongoing data health and performance, proactively identifying data quality issues, usage gaps, andopportunities for refinement or improvement, and escalating or partnering as appropriate to addressfindings.

  • Analyze and monitor the ongoing business value of data products by assessing adoption, usage andrelevance, and surface recommendations to inform enhancement, prioritization, or lifecycle decisions.

  • Contribute to the design and maintenance of semantic models for data products for assigned data products,including light data transformations, calculated fields, and business logic required to support reporting andanalytics for self‑contained products, while partnering with data engineering for larger‑scale or upstreamtransformations.

  • Apply established data structure, documentation, and governance standards to help ensure data productsare structured and governed to be AI‑ready and enable downstream use by data agents and AI‑drivenapplications where applicable.

  • Enable and support business users by providing guidance on how to access, interpret, and apply dataproducts effectively in support of decision‑making.

  • Contribute to data product training and enablement, including the creation of curriculum content, learningmaterials, and pilot or cohort‑based training execution to drive adoption and responsible use.

  • Collaborate cross‑functionally to reinforce documentation practices, shared accountability, and responsibledata usage, helping ensure data products are well‑defined, discoverable, and governed in alignment withestablished data standards

Qualifications

Education: Bachelor’s degree in Business Analytics, Statistics, Information Systems, Finance, Economics, or a related field is required.

Years of Experience: 3 years of relevant work experience is required.

Software Knowledge:

  • Basic programming and data querying skills, such as Python, R, and SQL, to support data exploration, validation, and light transformations for data products is required.

  • Experience with business intelligence and reporting platforms, such as Power BI and/or Microsoft Fabric is required.

  • Experience working with SAP data, including transactional, master, or analytical datasets is preferred.

  • Experience working with Salesforce data, such as CRM objects or operational data is preferred. Familiarity with enterprise data catalog and governance tools is required.

Additional Requirements:

Strong foundational skills required in:

  • Business analytics and problem-solving. Statistics and data interpretation.

  • Ability to think strategically while executing at a practical, hands-on level.

  • Clear communication skills with both technical and non-technical audiences

EEO Statement

Textron is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of race, color, religion, age, national origin, military status, veteran status, disability, sex (including pregnancy and sexual orientation), genetic information or any other characteristic protected by law.

Recruiting Company: Textron Specialized Vehicles
Primary Location: US-Georgia-Augusta
Job Function: Information Technology
Schedule: Full-time
Job Level: Individual Contributor
Job Type: Standard
Shift: First Shift
Job Posting: 04/20/2026, 11:34:46 AM
Job Number: 341242


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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923