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Data Jobs (NOW HIRING)

Data Intelligence LLC

Senior Data Architect

Mclean, VA

$68 - $91/hr

Data Intelligence LLC Job Openings >> Senior Data Architect Senior Data Architect Summary Title: Senior Data Architect ID: 1619 Location: McLean, VA More about this job > Description Senior Data ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Data Intelligence LLC Job Openings >> Senior Data Architect Senior Data Architect Summary Title: Senior Data Architect ID: 1613 Location: Clarksburg, WV More about this job > Description Data ...

Data Machines

Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world ...

Vantage Data Centers LLC

Data Scientist, NA

Denver, CO · On-site

$140 - $150/hr

## Data Scientist, NAApplylocations: Denver, Coloradotime type: Full timeposted on: Posted Yesterdayjob requisition id: R22164# **About Vantage Data Centers**Vantage Data Centers powers, cools, protects ...

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$46K

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How much do data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about data jobs

What cities are hiring for Data jobs?

Cities with the most Data job openings:

What are the most commonly searched types of Data jobs?

The most popular types of Data jobs are:

What states have the most Data jobs?

States with the most job openings for Data jobs include:

What job categories do people searching Data jobs look for?

The top searched job categories for Data jobs are:

data jobs near you
Infographic showing various Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Architect

Data Intelligence LLC

Mclean, VA

$68 - $91/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Data Intelligence LLC
Job Openings >> Senior Data Architect
Senior Data Architect
Summary
Title: Senior Data Architect ID: 1619 Location: McLean, VA
More about this job >
Description

Senior Data Architect - Data Modeling 
 

About the Role: Lead the design and evolution of the JADE program's proprietary data model, semantic frameworks, ontologies, and taxonomies that structure complex, mission-critical datasets and enable interoperability across custom digital forensic capabilities.

Responsibilities:

  • Design and implement structured knowledge frameworks, taxonomies, and metadata models defining relationships between data entities.
  • Enhance data interoperability, searchability, and knowledge representation across program systems and transition-partner systems.
  • Collaborate with cross-functional teams and stakeholders to map data, create semantic models, and maintain data governance standards.
  • Align data models with organizational goals and enterprise data-processing requirements.

Qualifications:

  • 10+ years of experience in data architecture, semantic modeling, ontology/taxonomy design, and data governance.
  • Demonstrated ability to work independently, mentor others, and bridge technical work across teams.
  • Bachelor's or advanced degree in a related technical field.
  • Maintain required clearance; support work through SCI channels
 

Data Intelligence, DI is an established small business that has supported the critical missions of our government clients since 2005. We provide full life cycle system development, systems engineering, cybersecurity, and supporting analytical and logistics support to C4ISR and other complex systems. We are an equal opportunity employer that offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Data Intelligence is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.


 
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