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Full Stack Data Engineer Jobs in Virginia (NOW HIRING)

GRVTY

Full Stack Developer

Mclean, VA

$150K - $250K/yr

The Full Stack Developer shall provide onsite full stack development support for a data repository and visualization platform. The Full Stack Developer shall help shape and implement the new cloud ...

Redhorse Corp.

Full Stack Developer

Arlington, VA · On-site

$150 - $200/hr

Government transforms data into operational advantage through artificial intelligence, graph ... About the Role We're looking for an exceptional Full Stack Developer to support one of the ...

Black Cape Inc.

Full Stack Software Engineer

Arlington, VA · On-site

$150 - $200/hr

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

AgileEngine

Full Stack Engineer ID80989

Blacksburg, VA · On-site +1

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Zetier

Full-Stack Engineer

Arlington, VA · Hybrid

Senior Full-Stack Engineer Zetier is seeking a senior full-stack engineer to build modern, secure, and mission-focused software supporting advanced cybersecurity, reverse engineering, and defense ...

AgileEngine

Full Stack Engineer ID80989

Richmond, VA · On-site

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

AgileEngine

Full Stack Engineer ID80989

Richmond, VA · On-site +1

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Zetier

Full-Stack Engineer

Arlington, VA · On-site

Senior Full-Stack Engineer Zetier is seeking a senior full-stack engineer to build modern, secure, and mission-focused software supporting advanced cybersecurity, reverse engineering, and defense ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

VTG

Full Stack Developer

Chantilly, VA · On-site

This role will work closely with the Lead Developer to design, develop, test, and deliver full-stack application capabilities across the data layer, application logic, APIs, and user interface. What ...

Amatriot Group, LLC

Full Stack Developer

Glen Allen, VA · On-site

$75K - $102K/yr

... a full-stack engineer. The position supports and enhances a core application built on C#/.NET, ... Work with CosmosDB to manage and query JSON transaction data. Collaboration * Work closely with ...

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Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Virginia

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 Sep 9, 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 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.

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 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.

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 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 job categories do people searching Full Stack Data Engineer jobs in Virginia look for?

The top searched job categories for Full Stack Data Engineer jobs in Virginia 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:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,615 per year, or $64.2 per hour.

Lead- Full Stack Engineer

Mclean, VA • On-site

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 25 days ago

Job description

Tiger Analytics is looking for experienced Full Stack Engineer -Lead to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are looking for a Full Stack Engineer / Lead with strong experience in modern web development, cloud-native architecture, and Generative AI (GenAI / LLM integration). This role requires hands-on expertise across frontend, backend, and cloud platforms, along with the ability to design scalable, production-grade systems.
This role requires hands-on technical depth, strong architectural understanding, and the ability to work in a fast-paced hybrid environment.
Responsibilities
  • Design and develop full stack applications using Vue.js, Node.js, and Python
  • Integrate GenAI / LLM-based solutions into applications (prompt engineering, APIs, model integration)
  • Build and maintain RESTful APIs and/or GraphQL services
  • Develop scalable, event-driven systems using Kafka
  • Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate)
  • Implement CI/CD pipelines and containerized deployments using Docker & Kubernetes
  • Work with relational databases such as Postgres, MySQL, or Oracle
  • Collaborate with cross-functional teams including product, design, and data teams
  • Ensure performance, scalability, and security of applications

Requirements
  • 10+ years of experience in Full Stack Development
  • Strong hands-on experience with Vue.js, Node.js, and Python
  • Proven experience in GenAI / LLM integration (must-have)
  • Experience with AWS cloud services (Lambda, S3, RDS, Fargate)
  • Solid experience building REST/GraphQL APIs
  • Experience with Kafka or event-driven architecture
  • Hands-on experience with Docker, Kubernetes, and CI/CD pipelines
  • Strong knowledge of RDBMS (Postgres/MySQL/Oracle)
  • Excellent problem-solving and communication skills

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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