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Data Engineer Data Jobs in Vienna, VA (NOW HIRING)

ECS

Data Engineer

Springfield, VA · On-site

$110K - $165K/yr

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite with the potential for up to 5 days onsite primarily at our Springfield, VA ...

Central Intelligence Agency

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.

Bloomberg Industry Group

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with ...

Bloomberg Industry Group

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. We're ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

R0245613 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Beghou Consulting

Data Engineer

Rockville, MD

$116K - $140K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

ICF

Data Engineer (Cleared)

Washington, DC · On-site +1

$129K - $155K/yr

Data Engineer - Data Science Services Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in ...

Redhorse Corporation

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

They are seeking a highly skilled Data Engineer to support the Department of Defense in advancing data-driven decision-making and designing robust data solutions that impact national security ...

ICF

Data Engineer (Cleared)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Engineer - Data Science Services Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in ...

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Showing results 21-40

All JobsData Engineer Data JobsData Engineer Data Jobs in Vienna, VA

Data Engineer Data information

See Vienna, VA salary details

$46.2K

$165.6K

$244.4K

How much do data engineer data jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer data in Vienna, VA is $165,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $170,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Vienna, VA? For Data Engineer Data jobs in Vienna, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Vienna, VA look for? The top searched job categories for Data Engineer Data jobs in Vienna, VA are:
What cities near Vienna, VA are hiring for Data Engineer Data jobs? Cities near Vienna, VA with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Infographic showing various Data Engineer Data job openings in Vienna, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,629 per year, or $79.6 per hour.

Senior Systems Engineer (Data Engineer)

Strategic Data Systems

Arlington, VA

$120K - $164K/yr

Full-time

Posted 29 days ago

Job description

Senior Systems Engineer

Location: The Pentagon, Washington, DC
Salary Negotiable (Depending on experience level) - Full Time with Benefits
 
 

The Senior Systems Engineer will support data-driven decision-making for complex Department of Defense programs by applying systems engineering discipline, data analysis, and rapid visualization capabilities. This role will use Government-provided enterprise software development and analytics tools, including Advana where applicable, to develop code, applications, dashboards, and analytical products that improve access to Global Force Management Data Initiative (GFM DI) data, organizational data, and system features. The position translates operational needs into clear requirements, reliable data products, analytical models, and user-focused solutions that strengthen decision support and support the full system life cycle.

Responsibilities
  • Apply systems engineering principles to analyze mission needs, coordinate technical solutions, develop requirements, and support life-cycle planning for large, complex projects.
  • Data Curation - Curate, organize, and clean raw data feeds into structured, reliable datasets that are optimized for querying, reporting, and analysis.
  • Establish and maintain trusted data sources that improve consistency, accuracy, and confidence in operational decision-making.
  • Analytical Modeling - Develop business logic, analytical models, and statistical approaches that connect datasets and translate raw inputs into actionable trends, risks, and insights.
  • Rapid Visualization - Design and deploy clean, interactive dashboards and lightweight web-based tools using platforms such as Qlik, Streamlit, or similar visualization technologies.
  • Collaborate with stakeholders, analysts, engineers, and mission partners to gather requirements, validate outputs, document assumptions, and improve access to system data and features.
  • Use Government-provided enterprise software development and analytics tools to conduct data analysis and develop code, applications, dashboards, and data products supporting GFM DI use cases.
  • Research, assess, reconcile, and standardize disparate force element data, organizational identifiers, and related data structures used across Component systems and mission domains.
  • Analyze complex system integration challenges involving the Organization Force Structure Construct, Organization Unique Identifiers, Component Org Servers, enterprise analytic platforms, and related Global Force Management tools.
  • Apply analytical, statistical, or mathematical modeling approaches to support design decisions, resolve data integration issues, and generate actionable recommendations for Government stakeholders.
  • Support assignment data processes and related tools, including documentation, stakeholder coordination, and training for internal users and broader Communities of Interest.
To qualify, you will need
  • Master of Science degree from an accredited college or university in Systems Engineering and at least three (3) years of related experience; or
  • Bachelor of Science degree in Systems Engineering and at least six (6) years of related experience; or
  • Degree in another engineering discipline or operations research may be considered if the candidate has completed at least twenty-four (24) semester hours in operations research, mathematics, probability, statistics, mathematical logic, science, or other coursework requiring substantial college-level mathematics or statistics, and has significant systems engineering experience.

Certification: DoD 8570/8140 IAT Level II certification required; active CompTIA Security+ preferred or acceptable if it satisfies the contract requirement.

Clearance: Active Top Secret/SCI clearance required.

Preferred Experience: Experience using DoD analytics platforms, including Advana, and developing code, applications, dashboards, or data products that improve access to system data and features. Familiarity with GFM DI, OFSC, OUIDs, Component Org Servers, Global Force Management assignment processes, enterprise analytic platforms, Qlik, Streamlit, SQL, data modeling, dashboard development, or similar analytics and visualization tools is highly desirable. Experience supporting Planning, Intelligence, Command and Control, Logistics, Financial, or other DoD mission domains through data analysis, integration, or decision-support tools is preferred.

Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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