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Data Structure Jobs (NOW HIRING)

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119.70K - $143.80K/yr

Analyze data needs and objectives within the broader journey. * Source, analyze and organize raw ... structure, metadata, dependency, and workload management. Successful history of manipulating ...

Seven Seven Software

Data Architect

Newark, NJ · On-site

$66.75 - $85.75/hr

Design processes supporting data transformation, data structure, metadata, dependency, and workload management. Successful history of manipulating, processing, and extracting value from large ...

Helm Point Solutions

$127K - $152.50K/yr

Design and implement data transformation logic to ensure accurate mapping from source to target data structures. * Contribute to the architecture, design, testing, and documentation of software ...

Beacon Staffing Alternatives, Inc.

Be Seen First

Senior Data Analyst

Baltimore, MD · Remote

$80 - $95/hr

Designing and maintaining core data structure, developing data pipelines, leading advanced analytical work, and supporting the creation of dashboards, reports, and open data products. Data ...

New

iQ Sig

Data Analyst

Alexandria, VA · On-site

$120K - $160K/yr

Force Structure & Readiness: Analyze SOF manning, billet authorizations, deployment cycles, and readiness data to identify gaps. * Joint Training & Education: * * Analyze data from Joint SOF training ...

Tampa Electric

Data Analytics Architect

Tampa, FL · On-site

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

RiseIT Solutions

Data Quality Engineer

Orlando, FL

$120K/yr

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 ...

Atwell, LLC

Data Analyst

Southfield, MI

Document analytical methods, data structures, dashboards, and models following internal documentation standards. * Partner with the Human Resources team to develop HR dashboards and metrics ...

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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 May 31, 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 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 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.

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.

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:
What job categories do people searching Data Structure jobs look for? The top searched job categories for Data Structure jobs are:
Data Structure jobs near you
Infographic showing various Data Structure job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 45% Full Time, 43% Part Time, and 11% Contract. Highlights an 56% Physical, 2% Hybrid, and 42% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer

Seven Seven Software

Newark, NJ • On-site

$119.70K - $143.80K/yr

Contractor

Posted 29 days ago

Job description

Key Job Responsibilities:
  • Analyze data needs and objectives within the broader journey.
  • Source, analyze and organize raw data, prepare data for transformation and consumption.
  • Develop analytical tools and content.
  • Identify ways to improve data governance, reliability, efficiency, and quality.
  • Build applications ensuring that the code follows latest coding practices and industry standards. Build using modern design patterns and architectural principles. Ensure developed solutions remain compliant with all applicable Prudential standards. Solve complex problems and provides new perspective on existing problems. Develop through collaboration and deliver application component solutions.
  • Develop high quality, well documented, and efficient code supporting testing and automation.
  • Support product owner in defining future stories and tech lead in defining technical designs.
  • Participate in design conversations and develop the business logic and backend systems of the MVP experience. Participates in the design conversations; conveys ideas within train and to groups outside of train.

Competencies - Knowledge, Skills, Abilities
Candidate with 5+ years of experience in a Data Engineer role who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Should have experience using following software/tools:
• Big data tools
• Relational and NoSQL databases
• Data pipeline and workflow management tools
• AWS cloud services
• Stream processing systems
• Object oriented and scripting language
Build processes supporting data transformation, data structure, metadata, dependency, and workload management.
Successful history of manipulating, processing, and extracting value from large, disconnected structured and unstructured datasets.
Advanced working SQL knowledge and experience working with relational databases.
Experience building and optimizing data pipelines, architecture, and data sets.
Working knowledge of message queuing, stream processing, and highly scalable data stores.
Strong project management and organization skills.
Experience supporting and working with agile cross functional teams in a dynamic environment
Background in financial services functions strongly desirable.
Job Requirements

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