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Data Structure Jobs in Virginia (NOW HIRING)

Piper Companies

Data Architect

Fairfax, VA · On-site

$155K - $220K/yr

Design and evolve data structures to support dashboards and analytics * Build and maintain data dictionaries, data catalogs, and clear data definitions * Perform impact analysis and manage change ...

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

Performance management and tuning, optimize data structure, SQL query, application logic * Storage management and capacity planning * Coordinating data organization refactoring at different scales

Stratacent

Sr.Data Modeler

Mclean, VA · On-site

Physical database structure design in DB2, UDB, Oracle, Sybase, Snowflake, Postgres, MongoDB and/or SQL Server using ER/Studio or ERWin * ER/Studio Data Architect or ERWin, minimum 4 years; Collibra ...

DRC Systems

Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

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 ...

advansix

Data Architect

Hopewell, VA

$118K - $178K/yr

Define standards for dimensional modeling, semantic modeling, event models, and reference data structures that support Power BI, AI, and operational decision-making. * Ensure alignment of curated and ...

Chenega MIOS

Senior Data Architect

Arlington, VA

$77.25 - $103.50/hr

Review object and data models and the metadata repository to structure the data for better management and quicker access. * Other duties as assigned. Minimum Qualifications: * Bachelor's degree in ...

advansix

Data Architect

Hopewell, VA

$118K - $178K/yr

Define standards for dimensional modeling, semantic modeling, event models, and reference data structures that support Power BI, AI, and operational decision-making. * Ensure alignment of curated and ...

USM

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 ...

Chenega Mios

Senior Data Architect

Arlington, VA · On-site

$77.25 - $103.50/hr

Review object and data models and the metadata repository to structure the data for better management and quicker access. * Other duties as assigned. Minimum Qualifications: * Bachelor's degree in ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Ability to convert unstructured data into structured data * Proficient in MS Outlook, Word, PowerPoint, Access, and Excel * Senior candidates may have additional knowledge of Data Warehousing, Data ...

ManTech

Senior Data Scientist

Springfield, VA

Assess potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Ability to convert unstructured data into structured data * Proficient in MS Outlook, Word, PowerPoint, Access, and Excel * Senior candidates may have additional knowledge of Data Warehousing, Data ...

Chenega MIOS

Senior Data Architect

Arlington, VA · On-site

$77.50 - $103.75/hr

Review object and data models and the metadata repository to structure the data for better management and quicker access. * Other duties as assigned. Minimum Qualifications: * Bachelor's degree in ...

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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.
Data Architect

Data Architect

Piper Companies

Fairfax, VA • On-site

$155K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Senior Data Modeler / Data Architect (CDM Program)
Location: Hybrid
Clearance: Ability to obtain Public Trust
Overview
We are seeking a Senior Data Modeler / Data Architect to support dashboard development for a large-scale federal cybersecurity program (CDM). This role will serve as the subject matter expert for data modeling and data design, partnering closely with stakeholders to design, evolve, and maintain data structures that support cybersecurity analytics and reporting.
This is a client-facing, senior-level role requiring strong communication skills and the ability to operate with minimal supervision in a fast-paced, evolving environment.
Key Responsibilities
  • Lead data modeling, data design, and database architecture efforts
  • Design and evolve data structures to support dashboards and analytics
  • Build and maintain data dictionaries, data catalogs, and clear data definitions
  • Perform impact analysis and manage change processes for data models
  • Serve as a trusted advisor to stakeholders and customers, translating requirements into technical solutions
  • Partner with governance teams to define and implement data quality standards and policies
  • Support requirements gathering and ensure alignment with data architecture
  • Collaborate with analysts and cross-functional teams to enable effective data usage
  • Evaluate code (e.g., Python) to understand data flows and model dependencies
  • Ensure data quality, consistency, and usability across systems
Required Qualifications
  • 7+ years of experience in data modeling, data architecture, or database design (flexible for strong candidates)
  • Strong expertise in:
    • Data modeling (conceptual, logical, physical)
    • ERDs, UML, entities/relationships
    • Relational and non-relational databases
    • Data normalization and data structure design
  • Experience creating and maintaining data dictionaries and data catalogs
  • Ability to work directly with clients and communicate technical concepts clearly
  • Experience managing data model changes and governance processes
  • Working knowledge of Python for data analysis or validation
  • Experience with tools such as Databricks, Alation, Jira, Confluence or similar
  • Strong problem-solving skills and ability to adapt to changing priorities
Preferred Qualifications
  • Experience with cybersecurity data or frameworks (e.g., CDM, SCAP, STIX, Elastic Common Schema, Splunk CIM)
  • Familiarity with Elasticsearch / Elastic dashboards
  • Experience in data warehousing environments
  • Exposure to data governance frameworks and policies
  • Ability to support automation or process improvements
Work Environment
  • ~60% data modeling and design
  • 20-30% stakeholder interaction and client meetings
  • Remaining time collaborating with internal teams (analysts, governance, requirements)
  • No direct reports; highly collaborative role across multiple teams
What Success Looks Like
  • Delivering scalable, well-documented data models
  • Acting as a trusted advisor to stakeholders
  • Enabling high-quality data for dashboarding and analytics
  • Adapting quickly as program priorities evolve
Compensation
  • Salary: $155,000 - $220,000
  • Benefits: Medical, Dental, Vision, 401 (k), PTO, Sick Leave, Holidays. (As required by law)

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