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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

Atlanta, GA · On-site

$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 ...

AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions. It's that expertise, along with technical fluency that ...

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 ...

AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions. It's that expertise, along with technical fluency that ...

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 Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

The role involves defining standards, supporting Snowflake architecture, and optimizing data structures for performance and scalability. Responsibilities : • Design and implement enterprise-grade ...

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 ...

Apply established data structure, documentation, and governance standards to help ensure data products are structured and governed to be AIready and enable downstream use by data agents and AIdriven ...

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 ...

Apply established data structure, documentation, and governance standards to help ensure data products are structured and governed to be AIready and enable downstream use by data agents and AIdriven ...

... 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. • ...

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 ...

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

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

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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 Analyst 4P/232

4P Consulting Inc.

Atlanta, GA

Contractor

Posted 17 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.