Hire Python Developers

Ideaware places senior Python developers from Latin America on US engineering teams. They build APIs in Django and FastAPI, run background work in Celery and move data with Pandas and SQL. You see vetted candidates within 48 hours, your pick starts 8–12 days after the first call, and they work US business hours. A senior Python developer costs $5,000–8,000 a month with payroll, benefits and equipment included.

Python is the second most used language in the 2025 Stack Overflow Developer Survey, at 57.9% of respondents. That reach is the hiring problem: a data analyst, a scripting sysadmin and a backend engineer all write “Python” on their résumé. Tell us which of those jobs you have, and we screen for it.

What a Python developer costs in the US

A US Python developer earns an average base salary of $112,382 in 2026, with reported pay from $85,000 to $160,000, according to Built In’s salary data. The Bureau of Labor Statistics puts the median for all software developers at $135,980 (May 2025).

Salary is only part of what you pay. Benefits account for 30% of employer compensation costs in US private industry (BLS, June 2026).

Counting benefits and fees, most teams save 40–60% against a comparable US hire. The developer cost guide has the figures for every role we place.

The Python stack our developers work in

Our Python developers write typed, tested Python 3.11 or later. Most profiles cover:

• Web frameworks: Django with Django REST Framework, FastAPI with Pydantic, Flask for smaller services
• Data layer: PostgreSQL, SQLAlchemy and the Django ORM, Alembic or Django migrations, Redis for caching
• Background work: Celery with Redis or RabbitMQ, asyncio for I/O-heavy services, scheduled jobs
• Data and ML: Pandas, NumPy, scikit-learn, and serving models behind an API
• Testing and quality: pytest, Factory Boy, mypy or Pyright, Ruff
• Deployment: Docker, Gunicorn or Uvicorn, AWS (ECS, Lambda, S3), GitHub Actions

For pipelines and warehouses, a data engineer fits better. For LLM features and RAG, look at AI engineers.

How we vet Python developers

We accept about 3% of applicants. Python candidates pass five steps: an async technical assessment, a 90-minute live coding session, an architecture review of a system they built, an English and communication interview, and reference checks with former managers.

The technical rounds focus on production backend work:

• API design: a Django REST Framework or FastAPI endpoint with validation, pagination, auth and clear error responses
• Database access: spotting N+1 queries in an ORM, adding the right index, and writing a safe migration on a large table
• Async and jobs: when asyncio helps and when it blocks, and making Celery tasks idempotent and retry-safe
• Typing and tests: type hints that catch bugs, and pytest fixtures that keep a suite fast
• Debugging: reading a traceback and a slow-query log to find the cause of a production incident
• Packaging: dependency pinning with Poetry or uv, and a reproducible Docker build

You interview the finalists yourself, and we can arrange a paired session on your codebase.

Django or FastAPI: which Python developer do you need?

Pick a Django developer for a full web product with an admin, auth and a relational model: SaaS back offices, marketplaces, internal tools. Pick a FastAPI developer for API-only services, high-concurrency I/O and model serving. Many teams run both, with Django for the main app and FastAPI for a performance-sensitive service. If the job sits outside classic backend work, a different profile fits:

• ETL, warehouses and streaming: a data engineer.
• Training and deploying models: an ML engineer.
• A JavaScript team that wants one language: a Node.js developer.
• Several backend roles at once: the backend developers overview.

Frequently asked questions

Get Python candidates in 48 hours →