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Data Structure Jobs in Virginia (NOW HIRING)

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

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

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 ...

Develops standards for data structure and integrity to support machine learning objectives. * Implements tools across NOG-L product lines to allow access to data for process monitoring and data ...

Develops standards for data structure and integrity to support machine learning objectives. * Implements tools across NOG-L product lines to allow access to data for process monitoring and data ...

Analyze, transform, manipulate, and integrate data from multiple structured and unstructured sources using Python, SQL, and other analytical tools. * Design and develop lightweight web applications ...

... structured and unstructured sources using Python, SQL, and other analytical tools. • Design and develop lightweight web applications when traditional dashboards are not the most effective solution ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

They are seeking a Data Engineer to support data structuring for a larger enterprise system, focusing on designing and maintaining ETL/ELT pipelines and collaborating with data scientists and ...

Analyze, transform, manipulate, and integrate data from multiple structured and unstructured sources using Python, SQL, and other analytical tools. * Design and develop lightweight web applications ...

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 ...

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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:
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.
Senior Data Scientist (SOM) - TS/SCI cleared

Senior Data Scientist (SOM) - TS/SCI cleared

Leidos

Springfield, VA • On-site

$92K - $166K/yr

Full-time

Posted 13 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

56th of 430 rated business services


Job description

Leidos has an exciting opportunity for a Senior Data Scientist (SOM) to join our growing team in Springfield, VA. In order to be considered you must have an active TS/SCI clearance.

This unique and challenging opportunity will require our talented staff to collect, process, and perform data analysis and deliver data-driven solutions to quantitatively improve the mission area of Maritime Features, Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

Primary Responsibilities

  • Apply Structured Object Management (SOM) principles (points, lines, polygons) to organize and manage geospatial data.

  • Structure disparate and unstructured data into usable formats for quantitative analysis and multi-source data fusion.

  • Develop and implement automated workflows and data pipelines to enhance analytic production and efficiency.

  • Design and maintain ontologies and data schemas to standardize data across systems and analytic efforts.

  • Utilize Python, R, or SQL to develop, optimize, and maintain analytic pipelines and data workflows.

  • Provide GIS support, including advanced use of ArcGIS Pro (ArcPro) for analysis, visualization, and data management. Collect process data and perform data analysis.

  • Integrate centralized protect and maintain data in DBMS.

  • Clean massage and organized data.

  • Perform ad hoc analysis and present results in a clear manner.

  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.

  • Create/deploy/maintain cloud applications to support migration of data and production processes

  • Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.

  • Write/maintain Python scripts in Arc GIS to improve efficiency of the production process.

  • Support Business Processing Re-engineering.

  • Perform Data Conversion/migration

  • Perform Business Analytics.

Basic Qualification

  • Typically requires a BA degree and 8 - 12 years of prior relevant experience or Master's with 6 - 10 years of prior relevant experience.

  • Must have active TS/SCI clearance

  • 5 - 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JAVA scripts.

  • Knowledge and experience using version control tools such as Git.

  • 3-5 years' experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.

  • 3-5 years of demonstrated experience performing geospatial data management, including data type conversions, coordinate systems (latitude/longitude, UTM), and projections.

  • 1 - 3 years of experience using Tableau or equivalent Business Intelligence software and server functions.

Preferred Qualifications

  • Experience combining digital cartography, GIS, remote sensing, and geospatial production techniques.

  • Proficiency in Feature Manipulation Engine (FME) software such as FME Workbench.

  • Experience performing data analysis to identify trends, gaps, and opportunities.

  • Knowledge of ESRI technologies including ArcGIS, ArcPro, and Arc Server.

  • Experience with ESRI Workflow Manager (WMX/TAM).

  • Knowledge of database systems and architecture.

  • Ability to write SQL and NoSQL.

  • Understanding of cloud architecture, infrastructure, services, and DevOps.

  • Knowledge of symbolization rules.

  • Familiarity with emerging AI technologies and their integration into geospatial workflows.

  • Experience working with geospatial data in multi-user enterprise environments.

  • Experience with data quality control tools such as ArcGIS Data Reviewer.

  • Experience analyzing production systems and recommending enhancements to data science capabilities.

  • Active TS/SCI CI Poly

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:April 15, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $92,300.00 - $166,850.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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