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Full Stack Data Engineer Jobs in Virginia (NOW HIRING)

Its capabilities include data science, software development, network engineering, intelligence ... SOSi is seeking a Full Stack Developer. In this role the Developer will provide full stack ...

Its capabilities include data science, software development, network engineering, intelligence ... SOSi is seeking a Full Stack Developer. In this role the Developer will provide full stack ...

Contract-12 months $78-$80/hr Position Summary The College Board is seeking a Senior Full Stack Engineer to design, develop, and support cloud-native applications that drive enterprise data quality ...

Full Stack Developer

Chantilly, VA · On-site

$150K - $200K/yr

The Full Stack Developer will help with design and then implement all levels of the application: data layer, application code, and user interface. The Full Stack Developer will also work with lead ...

Full Stack Engineer

Norfolk, VA · On-site

$55 - $60/hr

We are looking for Full Stack Engineer for our client in Norfolk, VA . Job Title: Full Stack ... Write optimized SQL queries, stored procedures, and data access components. * Collaborate with ...

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 ...

Full Stack Developer

Mclean, VA · On-site

$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 ...

... the Chief Engineer and Technical Leads to translate business requirements into user stories and technical tasks. * Design and implement full-stack software solutions, covering the data layer ...

Full Stack Developer Chantilly, VA TS/SCI and Full Scope Poly $200K to $250K Description: The Full ... The developer will help with design and then implement all levels of the application: data layer ...

... IC Full Stack Engineer to support high-priority initiatives for the Office of the Director of ... of data services, APIs, and analytic workflows across multiple systems and security domains. • ...

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 ...

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 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:

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.

Full Stack Developer

Chantilly, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Company Description
Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.
Job Description
*Position is contingent upon contract award*
SOSi is seeking a Full Stack Developer. In this role the Developer will provide full stack development support to the Sponsor's web applications' expanding cloud infrastructure. The Contractor shall leverage coding skills and expertise in cloud computing to design, develop, test, and deploy scalable and efficient web applications, supporting the Sponsor's customers.
Essential Job Duties
  • Developing new architecture to meet cloud requirements of Sponsor's web applications.
  • Performing operation and maintenance, upgrades, and troubleshooting of Sponsor's web applications in Sponsor's cloud environment.
  • Implementing custom cloud functionality using development languages such as Python, Java, and JavaScript.
  • Customizing existing and creating new tools for displaying, retrieving, and analyzing data in the web environment.
  • Developing new or adapting existing techniques to increase the speed and improve the visual display quality and interactive behavior of Sponsor's web delivery methods.
  • Interfacing with counterparts in other government agencies to identify and ingest data.
  • Programming customized code, scripts; modules, and libraries for analysis functions using appropriate scripting and development languages.
  • Updating and improv1ng Sponsor's existing customized code, scripts, modules, etc. as needed.
  • Testing and troubleshooting Sponsor-developed software solutions in a development/test environment.
  • Maintaining the Extract Transform Load (EFL) process to dynamically pull data from various sources, normalize it, and store it.
  • Adding new data sources based on Sponsor requirements, monitoring existing sources, and troubleshooting and fixing issues as they arise.
  • Performing operations and maintenance, upgrades, and troubleshooting of Sponsor's web applications in Sponsor's outward-fating cloud environment.
  • Assisting with deploying web tools to Sponsor's Cloud architecture.
  • Providing metadata, commented code, user manuals, system requirements, system security plans, and other documents required for future users.
  • Creating and delivering program and project artifacts and deliverables.
  • Supporting Sponsor's and program's strategic and tactical planning activities.

Qualifications
  • Active TS/SCI w/ Poly.
  • Demonstrated professional experience with the following required tools, systems, services, and data types:
    • Programming languages such as Python, Java, JavScript, and C++.
    • Cloud computing services from major providers, including experience with cloud-based development and deployment.
    • Database management systems, such as Oracle.
    • Version control systems, such as Git.
    • Web development frameworks and technologies, such as Flask and Django.

Preferred Qualifications
  • Experience with the Sponsor's enterprise services, security controls, and data management practices.
  • Familiarity with outward-facing Cloud environment and outward-facing applications.
  • Experience with APIs and data management tools and structures.

Additional Information
Working Conditions
  • Working conditions are normal for an office environment.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.