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Flask Developer Jobs in Virginia (NOW HIRING)

Edge Global

Python Developer with AI/ML

Reston, VA · On-site

$52.25 - $72/hr

Python Developer with AI/ML Location : Reston, VA (Local Only) Duration : Long Term Contract MOI ... Flask, Fast API, REST APIs, data processing, and SQL databases. • Familiarity with Linux/Unix ...

eSolutionsFirst, LLC

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

Python Full Stack Developer Mclean, VA Must Have Qualifications: Must have practical experience ... Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web ...

NewGen

Full Stack Developer

Chantilly, VA · On-site

The Full Stack Software Developer will work with the lead developer to maintain and enhance the ... in Flask, Django, FastAPI; including developing associated testing (unit and integration)

J5 Consulting

Cloud Developer

Mclean, VA · On-site

$57 - $78/hr

They are seeking a Cloud Developer to support senior organizational leaders with cloud development ... Flask • Demonstrated experience using Tableau to connect cloud serves to Tableau output ...

GRVTY

Full Stack Developer

Chantilly, VA

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... application in Flask, Django, FastAPI; including developing associated testing (unit and ...

Guidehouse

Full Stack Developer

Mclean, VA · On-site

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

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Flask Developer information

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How much do flask developer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for flask developer in Virginia is $52.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $64.09 per hour, depending on experience, location, and employer.

What are Flask Developers?

Flask Developers are software professionals who specialize in building web applications using the Flask framework, a lightweight and flexible web framework for Python. Their responsibilities typically include designing, developing, testing, and deploying web applications, as well as integrating databases, APIs, and front-end technologies. Flask Developers often work on projects that require rapid prototyping, microservices, or minimalistic web solutions due to Flask's simplicity and modularity.

What are the key skills and qualifications needed to thrive as a Flask Developer, and why are they important?

To thrive as a Flask Developer, you need strong proficiency in Python programming, web development fundamentals, and a solid understanding of the Flask microframework. Familiarity with tools like Git, RESTful APIs, SQL/NoSQL databases, and experience deploying applications using cloud services or containerization (e.g., Docker) are typically required. Effective problem-solving, attention to detail, and strong communication skills help developers collaborate efficiently and create robust, scalable solutions. These skills and qualities are essential for building secure, maintainable web applications that meet both technical and business requirements.

What is the difference between Flask Developer vs Django Developer?

AspectFlask DeveloperDjango Developer
Required CredentialsProficiency in Python, basic web development skillsProficiency in Python, web frameworks, and often more extensive experience
Work EnvironmentLightweight, flexible projects, microservicesFull-stack applications, larger projects, enterprise solutions
Industry UsageStartups, small to medium projectsLarge-scale applications, enterprise-level projects
Common Search/ComparisonYesYes

Flask Developers typically work on lightweight, flexible web applications and microservices, making them ideal for startups and small projects. Django Developers focus on full-stack, scalable applications suitable for larger, enterprise-level projects. Both roles require strong Python skills, but Django Developers often have additional experience with comprehensive web frameworks and database management.

What are the common challenges Flask Developers face when working on large-scale applications?

Flask Developers often encounter challenges related to scalability and maintainability when building large-scale applications, as Flask is a microframework that provides flexibility but requires careful planning of architecture. Managing complex codebases, integrating multiple extensions, and ensuring consistent coding standards across teams can be tricky. Effective communication and collaboration with front-end developers, DevOps, and QA teams are essential to maintain smooth workflows. Adopting best practices for project structure, modular code, and thorough documentation helps address these challenges and supports long-term project success.
What are the most commonly searched types of Flask Developer jobs in Virginia? The most popular types of Flask Developer jobs in Virginia are:
What are popular job titles related to Flask Developer jobs in Virginia? For Flask Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Flask Developer jobs in Virginia look for? The top searched job categories for Flask Developer jobs in Virginia are:
Flask Developer jobs near you
Infographic showing various Flask Developer job openings in Virginia as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $108,962 per year, or $52.4 per hour.

Full Stack Python Developer with Security Clearance

Nicholson Strategic Solutions

Herndon, VA • On-site

Contractor

Posted 25 days ago

Job description

What You’ll Do:
Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. This role partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users. Responsibilities will include but are not limited to:
Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.
What You’ll Need:
Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.
Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.
Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.
Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.
Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.

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