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Data Structure Jobs (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 ...

This position focuses on analyzing source data structures, developing source-to-target mapping specifications, authoring ETL functional requirements and data quality assurance frameworks, and ...

Cassandra Database Architect

Jersey City, NJ

$66.50 - $85.50/hr

Looking for a senior strong Cassandra profile Solid understanding of No SQL Database Solid experience in writing queries Expert in data structure design, Data Modelling in Cassandra Experience in ...

Data Architect - Salesforce

Park Ridge, IL · On-site

$62.75 - $80.75/hr

Independently validate proposed Salesforce data structures and related data architecture decisions. * Identify design risks before they become embedded in the build. * Determine what data should ...

Data Migration Engineer

$117K - $140K/yr

... data structure and translate it to the Mark43 schema • Dug into a uniquely formatted source database to uncover edge cases and ensure data fidelity • Worked alongside Mark43 deployment ...

Senior Engineer - Data Discovery

Raleigh, NC · On-site

$103K - $140K/yr

Experience in data structure and inspection technologies such as: JSON, XML, REGEX, Python are required. * Technical Engineering - Expertise in at least one language such as Java or Python. Familiar ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Cassandra Database Architect

Jersey City, NJ

$66.50 - $85.50/hr

Cassandra Database Architect / Sr. Developer Looking for a senior strong Cassandra profile Solid understanding of No SQL Database Solid experience in writing queries Expert in data structure design ...

Enterprise Data Modeler (Fraud)

Addison, TX · On-site

$53 - $68.75/hr

The Enterprise Data Modeler is responsible for drafting and managing critical data structures for current and future needs. This position provides technical direction, design, development ...

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DATA Structure information

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$46K

$165K

$243.5K

How much do data structure jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data structure in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
More about DATA Structure jobs
What cities are hiring for Data Structure jobs? Cities with the most Data Structure job openings:
What are the most commonly searched types of Data Structure jobs? The most popular types of Data Structure jobs are:
What states have the most Data Structure jobs? States with the most job openings for Data Structure jobs include:
Data Analyst 4P/232

Data Analyst 4P/232

4P Consulting Inc.

Atlanta, GA

Contractor

Posted 4 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.