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Full Stack Data Engineer Jobs in Virginia (NOW HIRING)

As an Senior Software engineer on our team, you''ll be expected to lead by example, write great ... Develop full-stack solutions leveraging modern technology stack as well as big-data expertise. Work ...

NVR, Inc. is seeking an experienced Full Stack Senior Software Engineer to work on site in Reston ... Partner with data engineering teams to ensure reliable, well-structured, and accessible data.

NVR, Inc. is seeking an experienced Full Stack Senior Software Engineer to work on site in Reston ... Partner with data engineering teams to ensure reliable, well-structured, and accessible data.

New

Full Stack Developer

Arlington, VA · On-site

$150K - $200K/yr

Join our engineering team as a Full Stack Developer building applications that power AI-driven ... Build user interfaces for real-time data visualization from sensor feeds * Implement backend ...

... and data access layers. • Collaborate with UX designers, architects, and DevOps engineers to ... full-stack. • Demonstrated expertise in: Frontend frameworks (React, Angular), backend ...

Full Stack Developer

Norfolk, VA · On-site

$96K - $149K/yr

Full Stack Developer Location: Norfolk, VA (On-site at NATO HQ SACT) Employment Type: Full-time, ... Develop products within a balanced agile team (PM/PO, UI/UX, and data specialists as needed)

... and data access layers. • Collaborate with UX designers, architects, and DevOps engineers to ... full-stack. • Demonstrated expertise in: Frontend frameworks (React, Angular), backend ...

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 ...

Senior Full Stack Engineer Location: Remote Pay Range: $80-$85/hr on W2 Profile: This team seeks an ... The candidate will also possess technical skills and experience in the data management and ...

... data layer, and cloud integration. Responsibilities : • Collaborate with the Chief Engineer and ... Required : • 4-7 years of full-stack development experience, with proficiency in: Application ...

Design, develop, test, and maintain full-stack applications (UI, service/API layer, and data access layer) in an Agile delivery environment. * Participate in software programming initiatives to ...

Dark Wolf constructs and deploys data management and analytics solutions for the defense and ... fill the role of Full-Stack Developer to support our team in Northern Virginia. Required ...

Full Stack Engineer

Manassas, VA · On-site

$175K - $215K/yr

Full Stack Engineer Department: Operations - Services Reports To: RavenTek Program Manager Location: Manassas, VA (Must live within driving distance) Schedule: Monday - Friday Hours: Full-time, 40 ...

Showing results 21-40

Full Stack Data Engineer information

See Virginia salary details

$44.1K

$133.6K

$188.9K

How much do full stack data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for full stack data engineer in Virginia is $133,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $156,600.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in Virginia? For Full Stack Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Full Stack Data Engineer jobs? Cities in Virginia with the most Full Stack Data Engineer job openings:
Infographic showing various Full Stack Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,615 per year, or $64.2 per hour.

Full Stack Software Engineer -Java with Security Clearance

Complete Data Solutions, LLC

Merrifield, VA • On-site

Other

Medical, Retirement, PTO

Posted 18 days ago


Job description

Full Stack Software Engineer Location: Merrifield, VA on site
Type: Full Time Complete Data Solutions (CDS) is a leading data engineering and analytics company focused on providing our federal government clients with innovative solutions to complex data engineering and analytics problems. CDS is proud of the data engineering support we have provided to the Law Enforcement and Intelligence Communities over our 25-year history. CDS provides data center, analytic, system design/development, and reporting support to our federal clients. CDS offers competitive salaries and a comprehensive benefits program including health insurance, 401k, competitive paid annual leave, tuition reimbursement, and a host of other benefits, which reflects our long-term commitment to our staff. Job Description:
CDS is seeking a talented Full Stack Software Engineer to support the Drug Enforcement Administration (DEA) by developing secure, high-performance applications and tools that advance mission-critical law enforcement operations. The ideal candidate will have experience with modern JavaScript frameworks, building scalable APIs, and working with both relational and NoSQL databases. The engineer will work closely with mission-driven developers, analysts, customers, and project leadership to deliver innovative solutions in a secure government environment. Responsibilities:
• Design, develop, test, and deploy web applications using modern JavaScript frameworks such as React, Vue, or Angular.
• Build and maintain secure RESTful APIs for data integration across DEA systems.
• Develop and optimize data models using relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (Elasticsearch, MongoDB, Janus Graph).
• Integrate AI/ML models or inference APIs to enhance data analysis and decision support tools.
• Rapidly prototype new tools and features based on evolving DEA mission requirements.
• Ensure applications meet federal security and compliance standards.
• Document application architecture, workflows, and technical processes.
• Participate in daily standups and agile development sprints. Required Skills/Qualifications:
• U.S. citizenship required.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 7+ years of experience in full stack software development.
• Proficiency with at least one modern JavaScript framework (React, Vue, Angular).
• Strong experience developing and integrating RESTful APIs. (React, Vue, Angular).
• Experience building applications using OOP languages (Java, Python, C#)
• Experience with relational and NoSQL database technologies.
• Familiarity with AI/ML integration at a high level (e.g., leveraging inference APIs, ML services).
• Solid understanding of secure coding practices, especially in federal or regulated environments.
• Experience with version control systems, specifically Git.
• Excellent communication skills and ability to work effectively in a collaborative team environment. Preferred Skills:
• Prior experience supporting federal law enforcement or intelligence community projects.
• Knowledge of data visualization tools or libraries.
• Experience with cloud environments (AWS, Azure, or GCP). Clearance: Applicants must possess Secret or higher clearance. CDS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.