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Data Structure Jobs (NOW HIRING)

Responsibilities include deploying metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implementing security for data integration and cleansing tools ...

Strong understanding of data structures, data types, and data transformation. * Familiarity with industry data patterns, normalizations rules and data performance tuning. * Ability to perform complex ...

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 ...

You will work shoulder-to-shoulder with foundation-model researchers at our customers to translate model behavior into data structure - what to label, how to label it, how to organize it, how to ...

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 ...

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

Salt Lake City, UT · On-site

$110K - $133K/yr

... structure for efficiency in models • Analyze key metrics and identify patterns • Collaborate with teams and stakeholders on data projects. • All other duties as assigned Qualifications

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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 Aug 9, 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 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?

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 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 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:
Infographic showing various Data Structure job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Subject Matter Expert (SME) - MIRPROD Structure and Data

Dexian Government Solutions

Chesapeake, VA • On-site

$100K - $150K/yr

Full-time

Re-posted 11 days ago


Job description

Dexian Government Solutions is recruiting for a Subject Matter Expert (SME) - MIRPROD Structure and Data to support our proposal effort for the USCG FSC BOD in Chesapeake, VA.Position Overview:The MIRPROD SME serves as the authoritative resource for MIRPROD data structures, data relationships, bus...