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Python Backend Developer Remote Jobs in Washington

Software/AI Developer & DevSecOps Engineer. R&D Location: United States Work Model: Remote ... Strong software development experience, particularly with Python. * Experience building backend ...

Remote Responsibilities • Develop, enhance, and maintain front-end geospatial web applications ... Experience with ArcGIS Python (ArcPy or ArcGIS API for Python) for data preparation, loading, and ...

Remote Responsibilities • Develop, enhance, and maintain front-end geospatial web applications ... Experience with ArcGIS Python (ArcPy or ArcGIS API for Python) for data preparation, loading, and ...

Frontend Developer

Mclean, VA · On-site +1

$110K - $130K/yr

Utilize knowledge of the AWS cloud environment, Python backend and TypeScript front-end ... a remote position; however, occasional travel may be required based on project needs, client ...

Frontend Developer

Mclean, VA · Remote

$110K - $130K/yr

Utilize knowledge of the AWS cloud environment, Python backend and TypeScript front-end ... a remote position; however, occasional travel may be required based on project needs, client ...

Frontend Developer

Mclean, VA · Remote

$110K - $130K/yr

Utilize knowledge of the AWS cloud environment, Python backend and TypeScript front-end ... a remote position; however, occasional travel may be required based on project needs, client ...

Front End Developer

Arlington, VA · Remote

$155K - $160K/yr

Frontend Developer (Python / React) We're looking for a Frontend Developer who enjoys building ... Collaborate with backend developers to deliver seamless, scalable solutions. * Optimize ...

Frontend Developer (Python / React) We're looking for a Frontend Developer who enjoys building ... Collaborate with backend developers to deliver seamless, scalable solutions. * Optimize ...

Senior Full Stack Developer Remote We are seeking a Senior Full Stack Developer to support a ... The ideal candidate has strong hands-on experience with Python and JavaScript, modern web ...

Senior Full Stack Developer Remote We are seeking a Senior Full Stack Developer to support a ... The ideal candidate has strong hands-on experience with Python and JavaScript, modern web ...

Senior Full Stack Developer Remote We are seeking a Senior Full Stack Developer to support a ... The ideal candidate has strong hands-on experience with Python and JavaScript, modern web ...

Senior Full Stack Developer Remote We are seeking a Senior Full Stack Developer to support a ... The ideal candidate has strong hands-on experience with Python and JavaScript, modern web ...

Senior Full Stack Developer Remote We are seeking a Senior Full Stack Developer to support a ... The ideal candidate has strong hands-on experience with Python and JavaScript, modern web ...

Showing results 41-60

Python Backend Developer Remote information

See Washington salary details

$27.6K

$164.9K

$218.4K

How much do python backend developer remote jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python backend developer remote in Washington is $164,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,300.00 and $185,700.00 per year, depending on experience, location, and employer.

What does a Python backend developer do?

A remote Python Backend Developer designs, builds, and maintains the server-side logic of web applications using the Python programming language. They are responsible for developing APIs, managing databases, ensuring application performance, and integrating third-party services. Working remotely, they collaborate with front-end developers, DevOps, and other team members through online tools to deliver scalable and reliable software solutions.

How does a Python backend developer typically collaborate with front-end developers and other team members in a remote setting?

As a remote Python Backend Developer, you'll frequently collaborate with front-end developers, DevOps engineers, and product managers using tools like Slack, Jira, and GitHub. Regular stand-up meetings and code reviews help ensure alignment on project goals and timelines. You'll often work closely with front-end developers to design APIs, resolve integration issues, and implement new features, requiring clear communication and thorough documentation. Effective collaboration in a remote environment relies on proactive updates, responsive communication, and a strong understanding of team workflows.

What are the key skills and qualifications needed to thrive as a Python backend developer, and why are they important?

To thrive as a Python Backend Developer (Remote), you need strong proficiency in Python programming, knowledge of backend frameworks (such as Django or Flask), and experience with database management, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, RESTful API design, and cloud platforms (e.g., AWS or Azure) is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set top developers apart. These skills ensure robust, scalable backend solutions are delivered efficiently while collaborating seamlessly with distributed teams.

What is the difference between Python Backend Developer Remote vs Python Web Developer?

AspectPython Backend Developer RemotePython Web Developer
Required SkillsPython, Django/Flask, REST APIs, databasesPython, Django/Flask, HTML/CSS, JavaScript
Work EnvironmentRemote, independent or team-basedRemote or on-site, often collaborative
Industry UsageTech, startups, SaaS companiesWeb development agencies, tech firms
CertificationsPython certifications, web frameworksPython certifications, web development courses

Both roles involve Python programming and web development skills, but Python Backend Developers focus on server-side logic, APIs, and databases, often working remotely. Python Web Developers may have a broader skill set including front-end technologies and may work in various environments. The roles overlap significantly, but the backend role emphasizes server-side architecture.

How much do remote Python backend developers make?

Remote Python backend developers typically earn between $80,000 and $130,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills like Django or Flask may offer higher salaries, especially with additional certifications or cloud experience.

Is Python backend developer in demand?

Python backend developers are in high demand due to the language's versatility, ease of use, and widespread adoption in web development, data science, and automation. Many companies seek professionals skilled in frameworks like Django and Flask, along with knowledge of REST APIs and database integration, making this a strong career choice with good job prospects.

What are the most commonly searched types of Python Backend Developer jobs in Washington?

The most popular types of Python Backend Developer jobs in Washington are:

What job categories do people searching Python Backend Developer Remote jobs in Washington look for?

The top searched job categories for Python Backend Developer Remote jobs in Washington are:

What cities in Washington are hiring for Python Backend Developer Remote jobs?

Cities in Washington with the most Python Backend Developer Remote job openings:

Infographic showing various Python Backend Developer Remote job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $164,860 per year, or $79.3 per hour.

Senior AI/ML Lead/ Developer (Remote)

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

Job Summary
We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong expertise in Python, PySpark, Azure Machine Learning, Generative AI, and Full Stack Development to design and deliver advanced analytics and AI-driven solutions for global investment banking and brokerage operations.
The ideal candidate will combine deep technical expertise in machine learning, distributed computing, cloud-native AI platforms, and modern AI frameworks such as LangChain, LangGraph, RAG, Agentic AI Frameworks, FastAPI, and Azure OpenAI Service. This role requires close collaboration with business stakeholders to transform complex financial data into actionable insights that improve decision-making, reduce operational risk, and enhance operational efficiency.
Key Responsibilities
Machine Learning & Advanced Analytics
  • Design, develop, and deploy advanced machine learning models using Python and PySpark to analyze large-scale financial datasets and generate actionable business insights.
  • Build predictive, classification, clustering, anomaly detection, forecasting, and risk models supporting investment banking and brokerage functions.
  • Perform rigorous model validation, back-testing, and experimentation using historical and simulated market data.
  • Evaluate and implement appropriate statistical, machine learning, deep learning, and AI techniques based on business requirements and regulatory considerations.
  • Optimize model performance through feature engineering, hyperparameter tuning, algorithm enhancements, and distributed computing techniques.

Generative AI & Agentic Solutions
  • Design and implement enterprise-grade Generative AI solutions using Azure OpenAI Service.
  • Build and deploy Retrieval-Augmented Generation (RAG) applications leveraging vector databases and knowledge retrieval systems.
  • Develop intelligent agent-based systems using LangChain, LangGraph, and Agentic AI frameworks to automate business workflows and enhance decision support.
  • Apply Natural Language Processing (NLP), Large Language Models (LLMs), document intelligence, and conversational AI to streamline surveillance, reporting, compliance, and advisory functions.
  • Ensure safe, responsible, and governed adoption of Generative AI capabilities across the organization.

Python Full Stack Development
  • Design and develop scalable backend services and APIs using FastAPI.
  • Build microservices and AI application frameworks that integrate machine learning and GenAI capabilities into enterprise ecosystems.
  • Develop reusable and maintainable software components following modern software engineering best practices.
  • Implement API integrations, authentication mechanisms, monitoring, logging, and performance optimization strategies.

Data Engineering & MLOps
  • Design and implement scalable data pipelines and feature engineering workflows using Azure Machine Learning and cloud-native services.
  • Build reusable data products and machine learning components supporting multiple analytics and AI initiatives.
  • Partner with Data Engineering teams to operationalize machine learning models and AI applications.
  • Establish model monitoring, retraining strategies, experiment tracking, and lifecycle management processes.
  • Ensure solutions are secure, reliable, scalable, and production-ready.

Cloud & Azure AI Platform
  • Develop end-to-end ML and AI solutions using:
    • Azure Machine Learning
    • Azure OpenAI Service
    • Azure Data Lake
    • Azure Databricks
    • Azure Storage Services
    • Azure DevOps
  • Manage model deployment, monitoring, governance, and operationalization on Azure platforms.
  • Support enterprise-scale AI and analytics workloads while maintaining compliance and security standards.

Business Collaboration
  • Collaborate with product owners, business analysts, operations teams, and technology stakeholders to define high-value data science initiatives.
  • Translate complex investment banking and brokerage business challenges into measurable analytical solutions.
  • Present recommendations and analytical findings to both technical and non-technical audiences.
  • Drive adoption of AI and machine learning solutions through effective communication and stakeholder engagement.

Governance & Responsible AI
  • Promote responsible AI practices by evaluating model fairness, explainability, bias, security, and data quality.
  • Document assumptions, risks, methodologies, and limitations in a transparent and accessible manner.
  • Ensure adherence to regulatory requirements, model governance frameworks, and enterprise AI policies.

Leadership & Mentoring
  • Mentor junior data scientists, machine learning engineers, and developers.
  • Promote best practices in software development, experimentation, MLOps, AI engineering, and model governance.
  • Contribute to a culture of innovation, continuous learning, and technical excellence.

Required Qualifications
Technical Skills
  • 8+ years of experience in Data Science, Machine Learning, AI Engineering, or related fields.
  • Expert-level proficiency in Python and PySpark for large-scale data processing and model development.
  • Strong experience with:
    • FastAPI
    • REST APIs
    • Microservices Architecture
    • Object-Oriented Programming
    • Software Engineering Best Practices
  • Hands-on experience with:
    • LangChain
    • LangGraph
    • RAG Architectures
    • Agentic AI Frameworks
    • LLM Application Development
  • Strong expertise in:
    • Azure Machine Learning
    • Azure OpenAI Service
    • Azure Databricks
    • Azure Data Lake
    • MLOps and CI/CD Practices
  • Experience developing and deploying enterprise-grade AI/ML solutions in cloud environments.

Machine Learning & AI
  • Deep understanding of:
    • Supervised Learning
    • Unsupervised Learning
    • Deep Learning
    • Ensemble Methods
    • NLP
    • Time-Series Forecasting
    • Anomaly Detection
    • Risk Modeling
  • Strong understanding of model evaluation, feature engineering, experimentation, validation, and explainability.

Domain Experience
  • Prior experience supporting:
    • Investment Banking
    • Capital Markets
    • Brokerage Operations
    • Trade Surveillance
    • Risk Management
    • Front Office or Middle Office Functions
  • Understanding of financial products, market data, and regulatory expectations is highly desirable.

Soft Skills
  • Excellent communication and stakeholder management skills.
  • Ability to explain complex technical topics to non-technical audiences.
  • Strong analytical and problem-solving capabilities.
  • Experience working effectively within distributed and hybrid teams.

Preferred Qualifications
  • Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, or ChromaDB.
  • Knowledge of containerization technologies including Docker and Kubernetes.
  • Experience with CI/CD pipelines and DevOps practices.
  • Exposure to Responsible AI, Model Risk Management, and AI governance frameworks.
  • Azure certifications in AI, Data Science, or Machine Learning.

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Sept 07, 2026,
The annual salary for this position is between $ 90,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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