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Full Stack Data Engineer Jobs in Washington (NOW HIRING)

M1 Technology LLC

Full Stack Developer

Chantilly, VA · On-site

... 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 ...

Leidos

Full Stack Developer

Arlington, VA · On-site

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 ...

RavenTek

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 ...

The Josef Group

Full Stack Developer

Chantilly, VA · On-site

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 ...

Dark Wolf Solutions

Full-Stack Developer

Herndon, VA · On-site

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 ...

Guidehouse

Full Stack Engineer

Bethesda, MD · On-site

Build and maintain Elasticsearch indexes; implement search, reindexing, and data synchronization ... Minimum Five (5) years of full-stack engineering experience across backend and frontend.

Guidehouse

Full Stack Engineer

Bethesda, MD

Build and maintain Elasticsearch indexes; implement search, reindexing, and data synchronization ... Minimum Five (5) years of full-stack engineering experience across backend and frontend.

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Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Washington

Full Stack Data Engineer information

See Washington salary details

$50.4K

$152.6K

$215.8K

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

As of Aug 13, 2026, the average yearly pay for full stack data engineer in Washington is $152,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $179,000.00 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 Washington? For Full Stack Data Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Washington look for? The top searched job categories for Full Stack Data Engineer jobs in Washington are:
What cities in Washington are hiring for Full Stack Data Engineer jobs? Cities in Washington 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 Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $152,641 per year, or $73.4 per hour.

Full Stack Developer (Federal)

K.L. Scott & Associates

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Company Overview
K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.
Position Overview
We are seeking a Full Stack Developer to design, build, integrate, and support responsive, web-based financial management applications. The ideal candidate will have at least 5 years of experience delivering business applications and will understand front-end design, back-end logic, workflow automation, data modeling, APIs, security, testing, and deployment.
This role will support financial management solutions for budget formulation and execution tools, financial planning and analysis applications, spend tracking systems, workflow automation, and related enterprise finance applications.
The ideal candidate will reside in or within commutable distance to Washington DC.
Full Stack Developer
Key Responsibilities:
  • Design, develop, configure, and maintain responsive web-based applications.
  • Function as a full-stack developer across user interfaces, back-end workflows, data models, business rules, integrations, and application security.
  • Build the Interface: Develop a highly dynamic, customizable web UI that allows users to adjust financial variables, toggle scenarios, and view projections.
  • Develop API Layers: Design and implement robust RESTful APIs or GraphQL (AWS AppSync) endpoints to connect the UI to existing backend data structures.
  • Manage Complex State: Implement client-side state management to handle intricate user configurations, user permissions, and real-time math calculations.
  • Implement Data Grids: Build Excel-like, high-performance data tables that allow users to input, sort, and filter massive financial datasets seamlessly.
  • Collaborate with Data Teams: Partner with our internal ETL and database engineers to consume data pipelines and ensure smooth data flow to the UI.
  • Support data modeling, data validation, data transformation, and integrations with structured data sources.
  • Perform unit testing, system testing, troubleshooting, debugging, and performance optimization.
  • Participate in Agile or iterative development activities, including sprint planning, backlog refinement, demos, and retrospectives.
  • Create and maintain technical documentation, user guides, configuration documentation, data dictionaries, and deployment notes.
  • Support application lifecycle activities, including release management, production support, enhancements, and user adoption.
  • Ensure applications follow security, accessibility, usability, and data governance policies.

Required Qualifications:
  • Minimum of 5 years of professional experience in application development, full-stack development, and/or enterprise business application delivery.

Core Web Technologies and Styling
  • Semantic HTML5: Deep understanding of semantic markup to ensure proper document structure, searchability, and clear data hierarchy.
  • Modern CSS3: Mastery of modern styling techniques, including Flexbox, CSS Grid, and responsive design principles for diverse monitor setups.
  • CSS Frameworks & Preprocessors: Experience with Tailwind CSS, Bootstrap, or SASS/LESS to maintain clean, scalable, and consistent styling across complex UIs.

Frontend Frameworks, UI Architecture, and Backend Development
  • Frontend Frameworks: 3+ years of professional experience with React.js, Vue.js, or Angular.
  • State Management: Mastery of client-side state tools (e.g., Redux, Zustand, Context API) to track complex user inputs.
  • Advanced Data Tables: Experience implementing heavy-duty UI grid libraries like AG Grid, Handsontable, or similar.
  • Backend Development: Proficiency in server-side languages-preferably Python (FastAPI/Django) or Node.js-to build custom application logic.

Preferred Qualifications:
  • BS/BA degree in Computer Information Systems, Computer Science, Information Technology, Software Engineering, or a related field, or equivalent professional experience.
  • Experience developing financial management tools for federal, state, local, nonprofit, or enterprise environments.
  • Experience integrating applications like AWS QuickSite and Azure Power BI with enterprise financial databases.
  • Experience with Agile, Scrum, and Sprints
  • Experience working on a team that uses Confluence or Jira for user stories.
  • Experience with role-based security, data governance, accessibility standards, and responsive design best practices.
  • Experience in finance, accounting, and enterprise budgeting.
  • Federal government, public sector, or regulated environment experience is a plus.

Desired Skills and Competencies
  • Strong analytical and problem-solving ability.
  • Ability to bridge business needs and technical solutions.
  • High attention to detail, especially in financial and data-driven applications.
  • Strong communication, documentation, and stakeholder engagement skills.
  • Ability to manage competing priorities in a fast-paced environment.
  • Commitment to quality, usability, security, maintainability, and continuous improvement.

Benefits:
  • Competitive salary
  • Health, dental, and vision insurance
  • 401K
  • "Discretionary" PTO
  • Professional development opportunities
  • A dynamic and collaborative work environment

Working Environment:
This role will support a federal client and requires collaboration with client stakeholders, public safety subject matter experts, business analysts, senior data analysts, dashboard developers, and project leadership. The Data Analyst will help transform raw data into usable datasets, dashboards, reports, and visual insights that support operational and leadership decision-making.
If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position. Join our team and contribute to our continued growth and success. To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role.
K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.

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