PYTHON DEVELOPER

Showcase Your Python Skills

From APIs to AI, Python developers power startup innovation.

Demand: Very HighJunior: $75k - $105k | Mid: $105k - $160k
Build Your Python Profile

Python: The Startup Swiss Army Knife

Python handles everything from backend APIs to machine learning pipelines. Its versatility makes it essential for startups that need to move fast and experiment often.

Related Technologies

DjangoFastAPIFlaskPostgreSQLRedisCelerypandasscikit-learn

Profile Tips for Python Developers

1

Show API Design Skills

Include a project with a well-designed REST or GraphQL API. Document it with OpenAPI/Swagger. Clean API design is highly valued.

2

Demonstrate Data Skills

Even if you're backend-focused, show comfort with data manipulation. A project involving pandas or SQL queries impresses founders.

3

Highlight Async Experience

Modern Python uses async patterns heavily. Show experience with asyncio, FastAPI, or Celery for background tasks.

4

Include Tests

Show you write tests with pytest. Startups need reliable code, and testing discipline signals engineering maturity.

Project Ideas to Showcase

REST API with Authentication

Build a complete API with JWT auth, role-based permissions, and rate limiting. Add Swagger docs for bonus points.

FastAPIPostgreSQLRedisDocker

ML Model API

Train a simple model and serve it via API. Show you can productionize machine learning, not just run notebooks.

Pythonscikit-learnFastAPIDocker

Data Pipeline

Build an ETL pipeline that processes data from multiple sources. Great for showing data engineering fundamentals.

PythonAirflowPostgreSQLAWS S3

Recommended Tech Stack

Web Frameworks

  • FastAPI
  • Django
  • Flask

Databases

  • PostgreSQL
  • MongoDB
  • Redis

Data/ML

  • pandas
  • NumPy
  • scikit-learn
  • PyTorch

Infrastructure

  • Docker
  • Celery
  • AWS Lambda
  • Kubernetes
FAQ

Frequently Asked Questions

Both are valuable. Django is great for full-featured applications with admin panels and ORM. FastAPI is preferred for modern microservices and API-first development. FastAPI is gaining popularity at startups for new projects.

Excellent. Python's readability speeds up development and onboarding. Its vast ecosystem covers web development, data science, automation, and ML. Most startups use Python somewhere in their stack.

Focus on production skills: API development, testing, Docker, and deployment. Show projects that go beyond Jupyter notebooks to actual running services. Many startups want 'full-stack ML' engineers.

API development (FastAPI/Django), async programming, SQL proficiency, and basic ML/data skills. Cloud experience (AWS/GCP) and Docker are increasingly expected. Type hints and modern Python patterns are valued.

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