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Data Structure Jobs in Georgia (NOW HIRING)

Data Warehouse Engineer

Atlanta, GA ยท On-site +1

$110K - $120K/yr

Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases. * Leverage ETL and streaming technologies, such as Apache Airflow and Kafka ...

Integrate diverse data sources, data types and data structures into an innovative visualization prototype. * Work with key stakeholders to develop advanced solutions or improve existing solutions ...

Data Architect

Atlanta, GA ยท On-site

$61.25 - $78.75/hr

NTT DATA is a trusted global innovator of business and technology services, and they are seeking a ... code structure. โ€ข Guide the transition from Azure Synapse to Microsoft Fabric. โ€ข Ensure ...

Master Data Specialist

Atlanta, GA ยท On-site

$90K - $105K/yr

Working knowledge of SAP table structures related to MM or BP * Strong understanding of how master data impacts manufacturing, supply chain, or order-to-cash processes * Preferred Experience: * SAP S ...

Data Warehouse Engineer

Atlanta, GA ยท On-site +1

$110K - $120K/yr

Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases. * Leverage ETL and streaming technologies, such as Apache Airflow and Kafka ...

Staff Data Engineer

Alpharetta, GA ยท On-site +1

$126K - $236K/yr

Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load ...

Staff Data Engineer

Alpharetta, GA ยท On-site +1

$126K - $236K/yr

Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load ...

Data Engineer

Kennesaw, GA

$105K - $127K/yr

Translate business questions into data structures that support analytics, AI/ML, and activation. * Develops and deploys propensity models to support customer segmentation, targeting, and ...

Data Engineer

Kennesaw, GA ยท On-site

$105K - $127K/yr

Translate business questions into data structures that support analytics, AI/ML, and activation. * Develops and deploys propensity models to support customer segmentation, targeting, and ...

Gather business requirements, translate them into information solutions and identify required data structures and apply strong expertise in advanced analytics techniques (e.g., machine-learning) to ...

Java Developer with Scala

Rex, GA ยท On-site

$47.25 - $61/hr

Strong data structure, algorithm and problem solving skills * Experience and desire to work in an Agile environment (pair programming, daily stand-ups, etc.) * Demonstrable knowledge of problem ...

... data structure diagrams Technical Skills and experience * 84 months of experience in CA Datacom database administration and maintenance. * 60+ months experience with Datacom system patching and ...

Collaborates with internal and external stakeholders to manage data logistics, including data transfers, data structures, and business rules to enable project execution. * Utilizes data modeling ...

Collaborates with internal and external stakeholders to manage data logistics, including data transfers, data structures, and business rules to enable project execution. * Utilizes data modeling ...

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Showing results 1-20

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 Warehouse Engineer

Data Warehouse Engineer

Revinate

Atlanta, GA โ€ข On-site, Remote

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Three Outcomes For Year One
  • Help transition and stabilize the new data architecture
  • This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse
  • Active monitoring and alerting of the data and its sources

What You'll Do
  • Define and align on critical business metrics by collaborating closely with department leaders.
  • Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases.
  • Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate seamless data transfers.
  • Build and maintain a data warehouse (e.g., BigQuery).
  • Use business intelligence tools (e.g., Looker) to establish data models and create.

What You'll Bring
  • Bachelors degree in relevant field
  • At least three years of relevant experience working with data warehouses and business intelligence platforms
  • Meaningful experience with the following technologies:
    • Python (or a similar language)
    • Apache Airflow
    • Google BigQuery
    • SQL
  • Experience in Cloud Data Warehouses
  • Familiarity with Data ecosystems

People Describe You As
  • Relentlessly driven for improvement, actively seeking new knowledge, and always ready to embrace and conquer complex challenges.

Benefits
  • Competitive Health Benefits: Revinate offers multiple insurance options, including an employee premium paid 100% by Revinate
  • Paid Family & Parental Leave: A comprehensive paid leave program, ensuring you have the time you need.
  • Family Building Benefits: Revinate offers multiple medical plans, including a buy-up option with $20,000 of coverage for medically necessary fertility treatments.
  • Excellent Dental and Vision Benefits
  • 401(k) Program: Includes an employer match
  • Optional plans for Short & Long Term Disability insurance, as well as Life insurance
  • Paid Flex time off
  • Employee Assistance Program (EAP)
  • Perks: Monthly work from home stipend, Telehealth access, Peloton benefits and many more.

$110,000 - $120,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.