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Data Structure Jobs in Virginia (NOW HIRING)

USM

Urgent Need Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

... data structure design in DB2, UDB, Oracle, Sybase, and/or SQL Server using ER/Studio DA or ERwin, Experience using ClearCase, GIT, Remedy, ER/Studio DA Mortgage/finance industry data modeling ...

TheStaffed

Senior Data Modeler

Mclean, VA · On-site

You will work closely with cross-functional teams to translate business requirements into robust data structures, enabling high-quality analytics and data-driven decision-making. This role requires ...

USM

Data Modeler- ONLY LOCALS - NO OPT

Mclean, VA

$55.25 - $71.75/hr

... data structure design in DB2, UDB, Oracle, Sybase, and/or SQL Server using ER/Studio DA or ERwin, Experience using ClearCase, GIT, Remedy, ER/Studio DA Mortgage/finance industry data modeling ...

Urbane Systems LLC

Database Engineer

Reston, VA · On-site

Data design, data structure identification, database schema definition, data access privilege management, data query optimization, documentation, database instance upgrades, long-range requirements ...

RIT Solutions, Inc.

Senior Data Modeler

Mclean, VA · On-site

Translate business requirements into scalable data structures and solutions * Develop and optimize SQL queries for analytics and reporting * Implement and manage data models within Snowflake ...

RIT Solutions

Senior Data Modeler

Mclean, VA · On-site

Translate business requirements into scalable data structures and solutions * Develop and optimize SQL queries for analytics and reporting * Implement and manage data models within Snowflake ...

USM

Local or nearby Urgent Need Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

... data structure design in DB2, UDB, Oracle, Sybase, and/or SQL Server using ER/Studio DA or ERwin, Experience using ClearCase, GIT, Remedy, ER/Studio DA Mortgage/finance industry data modeling ...

SiloSmashers

Data Architect

Arlington, VA

$72.75 - $93.75/hr

This role ensures data structures and platforms support mission-critical operations while maintaining compliance with federal security standards. Responsibilities: * Define enterprise data models ...

SiloSmashers

Data Architect

Arlington, VA · On-site

$130K - $160K/yr

This role ensures data structures and platforms support mission-critical operations while maintaining compliance with federal security standards. Responsibilities: * Define enterprise data models ...

USM

Data Modeler - EAD GC or GC or USC ONLY

Mclean, VA · On-site

$55.25 - $71.75/hr

... data structure design in DB2, UDB, Oracle, Sybase, and/or SQL Server using ER/Studio DA or ERwin, Experience using ClearCase, GIT, Remedy, ER/Studio DA Mortgage/finance industry data modeling ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

Demonstrate knowledge of data structures to identify structural deficiencies or opportunities for enhanced delivery and report potential data quality issues. Leverage knowledge of defense and ...

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All JobsData Structure JobsData Structure Jobs in Virginia

Data Structure information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data structure jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data structure in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 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 are the most commonly searched types of Data Structure jobs in Virginia? The most popular types of Data Structure jobs in Virginia are:
What are popular job titles related to Data Structure jobs in Virginia? For Data Structure jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Structure jobs in Virginia look for? The top searched job categories for Data Structure jobs in Virginia are:
Data Structure jobs near you
Infographic showing various Data Structure job openings in Virginia as of June 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Urgent Need Data Modeler

Urgent Need Data Modeler

USM

Mclean, VA • On-site

$55.25 - $71.75/hr

Contractor

Posted 25 days ago

Job description

Company Description

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. 

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. 

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services and e-commerce. 

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Job Description

Position title: Data Modeler

Location: Mclean, VA (Local or Nearby)

Duration: 12 Months

Qualifications

The Sr. Data Modeler will work closely with project teams to understand business requirements and provide data modeling subject matter expertise. Strong quantitative and analytic skills are required.
The Sr. Data Modeler will:
Develop logical and physical data models
Map logical entities to the enterprise Canonical Data Model
Ensure data objects adhere to defined Freddie Mac standards and best practices
Baseline DDLs
Develop, test, and implement scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data models
Develop DDL implementation/back-out plans
Promote data models into production metadata environments
Support DDL PROD implementation
Support post-production validation of DDL
Provide Level of Efforts (LOEs), activity status, identify dependencies impacting deliverables, identify risks and mitigation plans, identify issues and impacts
Educational and Work Requirements
Bachelor Degree from an accredited university with coursework in Business, Information Technology, or Engineering.
8-10 years of data modeling and metadata management experience.
Experience with both relational and dimensional data modeling
Experience with data management standards and data model practices
Experience with query capabilities such as Visual Basic macro development and SQL
Experience with physical data structure design in DB2, UDB, Oracle, Sybase, and/or SQL Server using ER/Studio DA or ERwin,
Experience using ClearCase, GIT, Remedy, ER/Studio DA
Mortgage/finance industry data modeling experience
Additional Qualifications
Proven ability to quickly earn the trust of key stakeholders
Thrives in an environment with changing priorities
Sound business and technical acumen
Focused and versatile team player that is comfortable under pressure
Excellent problem-solving and critical-thinking skills
Able to navigate through a large corporate environment and ensure appropriate processes are met

Additional Information

If my requirement matches your resume, then please do reply on my email id alih(at)usmsystems(dot)com and contact no is 703-955-3955

Apply