ZipRecruiter

Log In

1

Data Systems Jobs in Virginia (NOW HIRING)

Quantech Services, Inc.

Data Manager

Chantilly, VA · On-site

Collaborate with and assist other team members in using data systems and understanding data management procedures to ensure consistency and alignment of information. * Develop, implement, and ...

SiloSmashers

Data Architect

Arlington, VA · On-site

$72.75 - $93.75/hr

The Data Architect will lead the design and governance of data systems that enable analytics and secure data sharing across DHS CISA. This role ensures data structures and platforms support mission ...

SiloSmashers

Data Architect

Arlington, VA · On-site

$130K - $160K/yr

The Data Architect will lead the design and governance of data systems that enable analytics and secure data sharing across DHS CISA. This role ensures data structures and platforms support mission ...

SiloSmashers

Data Architect

Arlington, VA · On-site

$130K - $160K/yr

The Data Architect will lead the design and governance of data systems that enable analytics and secure data sharing across DHS CISA. This role ensures data structures and platforms support mission ...

RIVIDIUM

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance. Key ...

next page

Showing results 1-20

People also search for

All JobsData Systems JobsData Systems Jobs in Virginia

Data Systems information

See Virginia salary details

$45.6K

$111K

$195.3K

How much do data systems jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data systems in Virginia is $111,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $134,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Data Systems roles, and how can they be addressed?

Professionals in Data Systems often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these issues usually involves working closely with cross-functional teams, adopting robust data governance practices, and leveraging automation tools for data validation and transformation. Proactively staying up-to-date with emerging technologies and industry standards can also help mitigate technical hurdles and ensure system reliability.

What are the key skills and qualifications needed to thrive in Data Systems, and why are they important?

To thrive in Data Systems, you need expertise in data management, database design, and data analysis, typically supported by a degree in computer science or information systems. Familiarity with SQL, data warehousing tools, cloud platforms, and relevant certifications such as AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate is often required. Strong problem-solving skills, attention to detail, and effective communication set top professionals apart in this field. These skills and qualifications are crucial to efficiently manage, secure, and leverage data for informed business decision-making.

What is the difference between Data Systems vs Data Analysts?

AspectData SystemsData Analysts
Required CredentialsTypically certifications in database management, data architecture, or related fieldsOften hold degrees or certifications in data analysis, statistics, or business intelligence
Work EnvironmentWork with database systems, data infrastructure, and software toolsAnalyze data sets, create reports, and interpret data insights
Employer & Industry UsageUsed in IT, data management, and enterprise systems across various industriesCommon in marketing, finance, healthcare, and business sectors

Data Systems focus on managing, maintaining, and optimizing data infrastructure, while Data Analysts interpret data to support decision-making. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are data systems?

Data systems are organized collections of hardware, software, procedures, and personnel designed to capture, store, manage, and analyze data. They help organizations collect information from various sources, store it efficiently, and make it accessible for analysis and decision-making. Data systems can include databases, data warehouses, data lakes, and cloud storage solutions. They play a crucial role in supporting business operations, analytics, and reporting by ensuring data integrity and security.
Data Systems jobs near you
Senior Data Modeler (Data Architect)

Senior Data Modeler (Data Architect)

Data Intelligence LLC

Quantico, VA • On-site

Other

Posted 27 days ago

Job description

Data Intelligence LLC
Job Openings >> Senior Data Modeler (Data Architect)
Senior Data Modeler (Data Architect)
Summary
Title: Senior Data Modeler (Data Architect) ID: 1593 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking an experienced Senior Data Modeler / Data Architect to support mission-critical operations at NCIS Headquarters in Quantico, VA. This role focuses on designing, managing, and optimizing enterprise data models and architectures to support advanced analytics and operational requirements. The ideal candidate will bridge business needs and technical implementation, ensuring data is structured, accessible, and aligned with mission objectives.

Key Responsibilities

  • Develop and maintain conceptual, logical, and physical data models aligned to mission and business requirements
  • Collaborate with IT teams, data architects, and stakeholders to define and refine data requirements
  • Translate business needs into scalable and efficient data architectures
  • Review data processing and data management methods to ensure efficiency, integrity, and performance
  • Establish and maintain official data definitions, standards, and data lineage documentation
  • Support database design, implementation, and optimization efforts
  • Assist in developing strategies for data acquisition, storage, archival, and recovery
  • Ensure data sets and applications function reliably and meet operational needs
  • Provide technical oversight and mentorship to junior developers and data staff
  • Troubleshoot data-related issues and provide system support as needed

Required Qualifications

  • Bachelor's degree in Computer Science or related field
  • Minimum 10 years of professional experience in data modeling, data architecture, or related disciplines
  • Strong experience developing conceptual, logical, and physical data models
  • Experience working with enterprise data environments and large-scale data systems
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data governance, data standards, and metadata management
  • Strong understanding of database design, implementation, and performance optimization
  • Experience supporting data lifecycle processes including ingestion, storage, archival, and recovery
  • Strong analytical, problem-solving, and troubleshooting skills
  • Excellent communication and collaboration abilities across technical and non-technical teams
  • Active Top Secret / SCI clearance
Apply Now
 
Refer to a Friend
Copyright 2026 Data Intelligence LLC. All rights reserved.
Powered by ApplicantStack Applicant Tracking System
Privacy Policy | Terms of Use

Apply