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Python Developer Hiring Guide: Django, FastAPI and Data Work

"Python developer" can mean web engineer, data engineer or automation specialist. Here is how to hire the right kind for your project.

Python Developer Hiring Guide: Django, FastAPI and Data Work

To hire a Python developer, first decide which Python you need: web development with Django or FastAPI, data engineering with pandas and Airflow, automation and scraping, or AI and machine learning integration. Then test typed, tested, well-structured code — the biggest differentiator between Python developers.

Four kinds of Python developer

FocusTypical toolsGood for
Web back endDjango, DRF, FastAPI, CelerySaaS products, APIs, admin systems
Data engineeringpandas, Polars, Airflow, dbt, SparkPipelines, warehouses, reporting
AutomationRequests, Playwright, Scrapy, schedulersReports, scraping, internal workflows
AI integrationLangChain, LlamaIndex, Hugging Face, FastAPILLM features, RAG services

Skills every good Python developer has

  • Writes readable code with type hints.
  • Uses virtual environments and dependency management properly (Poetry, uv or pip-tools).
  • Writes tests with pytest.
  • Uses linters and formatters such as Ruff and Black.
  • Understands async where it matters.

Django or FastAPI?

Django gives you an ORM, admin panel, authentication and conventions — ideal for full applications. FastAPI is lightweight and fast, perfect for APIs and AI microservices. A strong developer can explain when each fits.

A practical test

Ask the candidate to build a small FastAPI or Django endpoint that ingests a CSV, validates rows, stores clean data and returns a summary — with tests. It covers web, data handling and quality in one task.

Red flags

  • Notebooks only, no production code experience (for engineering roles).
  • No tests and no type hints.
  • Copies scripts without understanding dependencies.
  • Hard-codes credentials.

Where Python developers fit in your team

Python developers often sit between product engineering and data. They pair well with data scientists and AI developers. See our vetted Python developers for each specialisation.

DirectAppoint Editorial

The DirectAppoint editorial team writes practical guides on hiring, managing and scaling dedicated remote teams.

FAQ

Frequently asked questions

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Ask a question
01

Is Python good for web development?

Yes. Django and FastAPI power many large web applications and APIs, and Python makes it easy to add data and AI features later.

02

Should I hire a Python developer or a data engineer?

If your main need is pipelines and warehouses, hire a data-focused Python developer. For product features and APIs, hire a web-focused Python developer.

03

Can one Python developer handle automation and web work?

Often yes, especially for smaller teams. Mention both needs in your brief so the shortlist matches.

Key takeaways

Key takeaways

Hiring a Python developer starts with choosing the specialisation — web back end (Django, FastAPI), data engineering (pandas, Airflow, dbt), automation, or AI integration — then testing typed, tested, well-structured code through a short practical task. Red flags include notebook-only experience, no tests and hard-coded credentials.

Topic
hire Python developer
Author
DirectAppoint Editorial

DirectAppoint · info@directappoint.com

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