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Data Structure Jobs in Georgia (NOW HIRING)

Analyze the Enablon data structure and recommend improvements for seamless integration with Power BI via ODATA. * Collaborate with Environmental Compliance and Environmental Affairs teams to ensure ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist * Own the structural elements ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist * Own the structural elements ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Optimize data structures and partitioning for performance and cost efficiency. * Ensure data security, integrity, and availability in all storage solutions. * Manage data lifecycle policies and ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Optimize data structures and partitioning for performance and cost efficiency. * Ensure data security, integrity, and availability in all storage solutions. * Manage data lifecycle policies and ...

Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that ...

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

The role involves optimizing data structures for performance and scalability while ensuring model alignment with business needs. Responsibilities : • Design and implement enterprise-grade data ...

Understanding of data structures, relational models, and metadata. * Ability to work with large datasets and perform data profiling and quality checks. * Basic knowledge of ETL concepts, data ...

... structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. • ...

The role involves collaborating with department leaders to define business metrics, analyzing data structures, and building a robust data warehouse. Responsibilities : • Help transition 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 ...

Ability to connect SAP backend structures to front-end business workflows * Strong emphasis on data lineage, definitions, and governance frameworks * Experience in business operations/processes

New

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

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

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 ...

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 ...

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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 Jul 19, 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 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 job categories do people searching Data Structure jobs in Georgia look for? The top searched job categories for Data Structure jobs in Georgia are:
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 July 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 Analyst 4P/232

Data Analyst 4P/232

4P Consulting Inc.

Atlanta, GA

Contractor

Re-posted 9 days ago


Job description

Position Overview:

Our Client is seeking a Data Analyst with 1–4 years of experience to support the Environmental Compliance Assurance team. The analyst will focus primarily on data reporting, visualization, and analysis within the Enablon platform using Power BI. The role is based predominantly onsite at Georgia Power’s Environmental Laboratory in Atlanta, with the flexibility to work remotely one day per week.


Key Responsibilities:

  • Develop reports and data visualizations in Power BI using data from the Enablon system.
  • Analyze the Enablon data structure and recommend improvements for seamless integration with Power BI via ODATA.
  • Collaborate with Environmental Compliance and Environmental Affairs teams to ensure high data quality and accuracy.
  • Update and maintain data to address change requests and business needs.
  • Assist with data gathering, cleansing, and preparation for the implementation of new Enablon functionality (e.g., waste management module).

Qualifications & Experience:

Required:

  • 1–4 years of experience as a Data Analyst, preferably in an environmental or compliance-related role.
  • Proficiency in Power BI, including experience with Data Analysis Expressions (DAX).
  • Familiarity with enterprise data system implementation projects.
  • Strong attention to detail and ability to maintain high data quality standards.
  • Availability to work onsite four days per week.

Preferred:

  • Experience with commercial Environmental Health & Safety (EHS) and/or sustainability software (e.g., Enablon, Intelex, Cority, velocity EHS, Essential Suite, OpsInfo).
  • Basic understanding of environmental regulations related to air, water, or waste management.

Skills & Competencies:

  • Strong analytical and data visualization skills.
  • Effective communication and collaboration within cross-functional teams.
  • Ability to work independently and manage multiple tasks.
  • Problem-solving mindset and continuous improvement focus.