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Entry Level Python Django Backend Developer Jobs in Seattle, WA

StoreOcean

Shopify Expert (Remote)

Seattle, WA · Remote

Small Shopify Tasks, Programming & Design We offer technology services which include: Small Shopify Tasks and Ruby on Rails, Python/Django and Mobile App (using BuildFire) applications for eCommerce ...

Pinterest

Software Engineer II, Backend

Seattle, WA · On-site

Actively work to improve the developer process and experience in all phases from coding to ... Experience in Python, Java, C++, or Go or another language and a willingness to learn * Experience ...

Energysavvy

Software Engineer

Seattle, WA · On-site

You'll work with Django, Python, jQuery, nginx and PostgreSQL. Then you'll deploy your creations ... Developer Friendly Culture - We deploy in one click, run continuous integration and contribute to ...

Energysavvy

Software Engineer

Seattle, WA

You'll work with Django, Python, jQuery, nginx and PostgreSQL. Then you'll deploy your creations ... A Few Highlights Developer Friendly Culture - We deploy in one click, run continuous integration ...

Onramp Lab

Developer

Seattle, WA · Remote

Proficient in programming languages such as JavaScript, Python, or similar * Experience with web frameworks and technologies (e.g., React, Node.js, Django) * Familiarity with database design and ...

Onramp Lab

Developer

Seattle, WA · On-site +1

Proficient in programming languages such as JavaScript, Python, or similar * Experience with web frameworks and technologies (e.g., React, Node.js, Django) * Familiarity with database design and ...

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Entry Level Python Django Backend Developer information

See Seattle, WA salary details

$18.2K

$168.7K

$217.4K

How much do entry level python django backend developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level python django backend developer in Seattle, WA is $168,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,600.00 and $190,600.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Python Django Backend Developer vs Junior Python Developer?

AspectEntry Level Python Django Backend DeveloperJunior Python Developer
Required SkillsPython, Django, basic database knowledge, version controlPython, general programming, basic web development
Work EnvironmentBackend development teams, web applicationsSoftware development teams, various projects
CertificationsOptional Python/Django certificationsOptional Python certifications
Industry UsageWeb development, tech companies, startupsTech, finance, healthcare, various industries

Entry Level Python Django Backend Developers focus specifically on backend web development using Django, requiring knowledge of Python and web frameworks. Junior Python Developers have a broader scope, working on general Python programming across different projects. Both roles are entry-level, but the Django role emphasizes web backend skills, making it more specialized for web application development.

Is Entry Level Python Django Backend Developer good for backend?

An Entry Level Python Django Backend Developer role is suitable for working on server-side development, focusing on building and maintaining web application backends using Python and the Django framework. It typically requires knowledge of databases, APIs, and version control tools like Git. This position is ideal for those starting their career in backend development and gaining experience with web technologies.

Is entry level Python Django backend developer in demand?

Entry level Python Django backend developers are in demand due to the popularity of Python for web development and the widespread use of Django frameworks. Employers seek candidates with basic knowledge of Python, Django, and REST APIs, often requiring familiarity with databases and version control tools like Git. The role offers opportunities in startups and tech companies focusing on scalable web applications.

What are the most commonly searched types of Python Django Backend Developer jobs in Seattle, WA?

The most popular types of Python Django Backend Developer jobs in Seattle, WA are:

Entry Level Python Django Backend Developer jobs near you
Infographic showing various Entry Level Python Django Backend Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 5% Part Time, and 8% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $168,693 per year, or $81.1 per hour.

Sr. Backend Engineer - Python/Java & Kafka C2C contract

Tech Mirrors

Bellevue, WA • On-site

$140 - $190/hr

Other

Posted 13 days ago

Job description

Role- Sr. Backend Engineer – Python/Java & Kafka


Location- Bellevue, WA


12 +Months


Mandatory Areas

  • Kafka

  • Python

  • Java

  • Microservices

  • CICD


Skill Focus:Core (~70%): Kafka, Programming, Infrastructure Supporting (~20%): Architecture, Data Engineering Adjunct(~10%): Observability, AI/Modern tooling


Must Have Skills

  • Proficiency with messaging and event-driven systems such as Kafka

  • Expert-level proficiency in Python and Java object-oriented programming

  • Strong experience with Python or Java object-oriented programming

  • Hands-on experience with UNIX/Linux environments and expert-level Bash

  • shell scripting for automation and pipeline orchestration

  • Automate manual processes and operational workflows using Bash shell scripting in UNIX environments

  • Build responsive, accessible, and performant applications, delivering end-to-end features across API and data layers

  • Experience building scalable REST APIs and microservices

  • Knowledge of TLS/SSL encryption and SASL authentication for securing Kafka clusters

  • Experience with Git, GitLab, and CI/CD automation

  • Experience working with relational databases and writing complex SQL

  • Experience with containerization and orchestration tools such as Docker and Kubernetes

  • Experience using observability and telemetry tools such as Splunk, AppDynamics, or Grafana

  • Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development.


Nice to Have

  • Experience with Databricks, Snowflake, or cloud-based data platforms

  • Network Domain experience

  • Experience working in cloud-native environments (Azure, AWS, or GCP)

  • Experience contributing to system architecture or platform-level design decisions

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