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Remote Python Django Jobs in Washington, DC (NOW HIRING)

Cloudera

AI Solutions Architect

Washington, DC · Remote

Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on ... Experience developing visual data representations and dashboards (Django, React, or Angular)

BlueLabs, Inc.

Data Analyst I

Washington, DC · On-site +1

$67K/yr

Proficient understanding of a statistical programming language such as R, Python, or Julia * The ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

Cloudera

AI Solutions Architect

Washington, DC · Remote

Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on ... Experience developing visual data representations and dashboards (Django, React, or Angular)

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Remote Python Django information

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$26.1K

$130.4K

$452.5K

How much do remote python django jobs pay per year?

As of May 30, 2026, the average yearly pay for remote python django in Washington, DC is $130,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $180,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Django Developer, you need strong proficiency in Python programming, experience with the Django framework, and a background in web application development, often supported by a relevant degree or certifications. Familiarity with tools like Git, RESTful APIs, Docker, and cloud platforms such as AWS or Azure is commonly required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you stand out in this distributed role. These skills ensure you can deliver robust, scalable web applications while collaborating efficiently with remote teams.

How does a Remote Python Django developer typically collaborate with team members across different time zones?

As a Remote Python Django developer, collaboration often relies on asynchronous communication tools like Slack, email, and project management platforms such as Jira or Trello. Teams usually hold regular video meetings to align on project goals and resolve blockers, while code reviews and documentation are managed through platforms like GitHub or GitLab. Flexibility and clear communication are essential, as developers may need to adjust their working hours occasionally for real-time discussions or sprint planning. Building strong written communication skills is key to ensuring smooth collaboration in a distributed team environment.

What is a Remote Python Django developer?

A Remote Python Django developer is a software engineer who specializes in using the Python programming language along with the Django web framework to build web applications, and works from a location outside of a traditional office setting. They are responsible for designing, developing, testing, and maintaining server-side logic, database models, and APIs for web applications. Working remotely, they collaborate with teams using online tools and platforms, ensuring code quality and project completion from anywhere with a reliable internet connection. This role typically requires strong knowledge of Python, Django, databases, version control, and remote communication skills.

What is the difference between Remote Python Django vs Remote Flask Developer?

AspectRemote Python DjangoRemote Flask Developer
Required CredentialsBachelor's in Computer Science, Python certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentCollaborative teams, Agile projectsStartups, flexible teams, Agile
Industry UsageWeb applications, enterprise solutionsMicroservices, lightweight APIs
Common Search IntentFull-stack web development, scalable appsAPI development, small to medium apps

Remote Python Django and Remote Flask Developer roles share similar credentials and work environments but differ in application focus. Django is suited for large, scalable web projects, while Flask is ideal for lightweight, flexible APIs. Your choice depends on project complexity and specific development needs.

What are popular job titles related to Remote Python Django jobs in Washington, DC? For Remote Python Django jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Python Django jobs in Washington, DC look for? The top searched job categories for Remote Python Django jobs in Washington, DC are:
Remote Python Django jobs near you
Infographic showing various Remote Python Django job openings in Washington, DC as of May 2026, with employment types broken down into 3% As Needed, 49% Full Time, 5% Part Time, and 43% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,369 per year, or $62.7 per hour.
AI Solutions Architect

AI Solutions Architect

Cloudera

Washington, DC • Remote

Other

PTO

Posted yesterday

Job description

Business Area:

Professional Services

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).

This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.

As the AI Solutions Engineer you will:

1. AI Model Strategy, Selection and Implementation

  • Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.

  • Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.

  • Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).

2. End-to-End Data Engineering

  • Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats.

  • Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.

  • Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.

3. Optimization & Performance Tuning

  • Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).

  • Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.

4. Public Sector Advisory & Governance

  • Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.

  • Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.

We're excited about you if you have: (Minimum Qualifications):

  • Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.

  • Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).

    • Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.

    • Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.

    • Experience developing visual data representations and dashboards (Django, React, or Angular)

    • Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)

  • Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).

  • Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).

  • Active Top Secret Security Clearance

You may also have: (Preferred Qualifications)

  • Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.

  • Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.

  • Experience installing and operating Cloudera Data Platform

  • Experience installing and operating Kubernetes

  • Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.

  • Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.

  • Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred.

This role is not eligible for immigration sponsorship.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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