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Data Structure Jobs in Virginia (NOW HIRING)

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 ...

Geo Owl

Senior Data Scientist

Springfield, VA · On-site

... structure differences for new sensors; adapt ETL processes, schemas, and APIs accordingly to enable clean ingestion into the existing data operations pipeline * ▸Determine pre-processing and ...

Geo Owl

Senior Data Scientist

Springfield, VA · On-site

Assess metadata, format, and data structure differences for new sensors; adapt ETL processes, schemas, and APIs accordingly to enable clean ingestion into the existing data operations pipeline

USM

Data Modeler - EAD GC or GC or USC ONLY

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 ...

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 ...

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 ...

ManTech International

Senior Data Scientist

Springfield, VA · On-site

$114K - $190K/yr

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 ...

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 ...

GRVTY

Data Scientist - Expert

Falls Church, VA

$180K - $210K/yr

Data structure and schema definitions * Data formas (JSON, Parquet, XML, CSV, etc.) * Access controls * Support cross-domain solutions using customer enterprise tooling * Manage the generation ...

BAE Systems

Data Scientist Prin

Sterling, VA · On-site

$118K - $200K/yr

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

GRVTY

Data Scientist - Expert

Falls Church, VA · On-site

$180K - $210K/yr

Data structure and schema definitions * Data formas (JSON, Parquet, XML, CSV, etc.) * Access controls * Support cross-domain solutions using customer enterprise tooling * Manage the generation ...

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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 Jul 20, 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 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.
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

Data Scientist - Expert with Security Clearance

GRVTY

Falls Church, VA • On-site

Other

Posted 20 days ago

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to support the maintenance and implementation of data architecture across all program data. The ideal candidate brings deep expertise in databases, cloud architectures, and data governance, with a passion for building and sustaining the backend workflows that power data operations across security domains and systems. This is a mission-driven opportunity to deliver world-class data infrastructure in direct support of the DoW and Intelligence Community. What You'll be Owning * Create and maintain the infrastructure necessary to store and process data related to emergent capabilities, including: * Database tables and schemas * Data health alerts and monitorin * ETL pipelines supporting all emergent capabilities data * Develop workflows to enable API-based movement of emergent sensor data between platforms * Ensure all emergent sensor data adheres to customer-directed: * Data schemas and formats * Governance requirements * Develop, construct, test, and maintain databases and large-scale complex data processing systems * Clean, prepare, and transform data to support the building of geospatial data pipelines that create a curated view of content for IC consumption * Apply scripting tools, programming languages, standards, and software packages to build data pipelines enabling consumption of data * Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities * Ensure all data activities conform to data governance policies, including: * Data lifecycle management * Data structure and schema definitions * Data formas (JSON, Parquet, XML, CSV, etc.) * Access controls * Support cross-domain solutions using customer enterprise tooling * Manage the generation, approval, and population of data into databases, ensuring: * Compliance with security regulations * Satisfaction of customer requirements * Conduct regular Quality Control (QC) and monitor content to ensure alignment with existing data standards and requirement specifications * Assess and report the current state of data holdings compliance in both written and oral forms * Populate, manage, and maintain metadata standards for datasets * Monitor data and standards changes and adjust data architecture to remain in compliance * Support the use and development of cloud computing systems and perform automated analytics What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI/Poly * Experience working with SQL or NoSQL databases and cloud architectures * Experience leveraging APIs to: * Query systems * Migrate data between platforms * Experience with programming languages including: * * Python * JavaScript * Java * Experience developing, sustaining, and monitoring operational data pipelines supporting: * Multiple data formas and system interfaces * Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences What Would be Nice to Have * Experience working with NGA IT enterprise solutions (e.g., NGA CORE, NGA MLOps), Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates * Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise (SAFe) * Experience developing dynamic visualizations to monitor availability, currency, and volumetrics of operational data pipelines

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