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Data Designer Jobs in Washington (NOW HIRING)

Data Scientist - TS/SCI w/Poly

Mclean, VA · On-site

$212K - $287K/yr

Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making * Improve data architecture decisions with data engineers to better ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

The Data Architect is responsible for designing and governing the data ecosystem, establishing enterprise data models, and ensuring data governance and quality for advanced analytics and AI/ML ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

Responsibilities : • Designing and governing the entire data ecosystem. • Establishing the enterprise data model and defining standards for data storage (e.g., data lakes, warehouses, databases ...

Data Architect

Arlington, VA

$73.25 - $94.25/hr

The Data Architect is responsible for designing and governing the entire data ecosystem of the Platform. Establish the enterprise data model, define standards for data storage (e.g., data lakes ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

Responsibilities : • The Data Architect will be responsible for designing and governing the entire data ecosystem. • The architect will establish the enterprise data model, define standards for ...

Graphic Designer Level: Junior | Work Location: Remote This position is contingent upon contract ... Our approach is research-centric, data-informed, and audience-oriented -- and it's how we deliver ...

Data Architect

Laurel, MD · On-site

$120 - $180/hr

The Data Architect plays a critical role in designing and implementing secure, scalable data architectures that integrate operational and enterprise data from sources such as SCADA systems, IoT ...

Showing results 21-40

Data Designer information

See Washington salary details

$30

$46

$78

How much do data designer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data designer in Washington is $46.09, according to ZipRecruiter salary data. Most workers in this role earn between $33.51 and $59.90 per hour, depending on experience, location, and employer.

What is a data designer?

Data Designers are professionals who specialize in structuring, visualizing, and presenting data in ways that make it easier to understand and use. They combine technical skills in data modeling and management with creative abilities in data visualization to help organizations make informed decisions. Data Designers often work closely with data scientists, analysts, and stakeholders to ensure that data is both accurate and accessible. Their work can include creating dashboards, designing data flows, and developing interactive reports.

How does a data designer typically collaborate with data engineers and business analysts during a project?

Data Designers play a pivotal role in bridging the gap between technical and business teams. They often work closely with data engineers to ensure that data models are both technically feasible and scalable, while also collaborating with business analysts to translate business requirements into effective data structures. This collaborative process involves frequent meetings to review data flows, refine data schemas, and ensure alignment on project goals. By maintaining open communication, Data Designers help create data solutions that are robust, user-friendly, and support informed business decision-making.

What are the key skills and qualifications needed to thrive as a data designer, and why are they important?

To thrive as a Data Designer, you need a solid background in data modeling, database design, and information architecture, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ER/Studio, Tableau, and data visualization platforms, along with knowledge of data governance frameworks, is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help bridge technical requirements with business needs. These qualifications are crucial for creating scalable, efficient data structures that drive informed decision-making and organizational success.

What is the difference between Data Designer vs Data Analyst?

AspectData DesignerData Analyst
Required CredentialsBachelor's degree in Data Science, Computer Science, or related field; certifications in data modeling or database designBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentDesigning data models, creating database schemas, collaborating with data engineersAnalyzing data sets, generating reports, interpreting data trends
Employer & Industry UsageUsed in data architecture, database development, and system design teamsUsed across business intelligence, marketing, finance, and operations teams

Data Designers focus on creating the structure and architecture of data systems, while Data Analysts interpret and analyze data to support decision-making. Both roles require strong technical skills but serve different functions within data management and analysis processes.

What are popular job titles related to Data Designer jobs in Washington?

For Data Designer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Designer jobs in Washington look for?

The top searched job categories for Data Designer jobs in Washington are:

What cities in Washington are hiring for Data Designer jobs?

Cities in Washington with the most Data Designer job openings:

Infographic showing various Data Designer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.

Senior Data Modeler (Data Architect)

Data Intelligence LLC

Quantico, VA • On-site

Full-time

Re-posted 22 hours ago


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