Hire Python developers · Dedicated, monthly
Hire Python developers who start in 5 to 10 days.
Python engineers for backends, data pipelines and automation, with the discipline to keep it maintainable. Vetted in five steps, working in your tools and time zone, with a two-week replacement guarantee.
Monthly rates
| Level | Experience | Monthly |
|---|---|---|
| Mid-level | 3 to 5 years | $3,000 to $4,000 |
| Senior | 5 to 8 years | $4,000 to $5,800 |
| Lead | 8+ years | $5,800 to $7,500 |
Full-time, 160 hours a month, equipment and HR included. Hourly equivalents $19 to $47. No recruitment fee.
What our Python developers bring.
- Python 3.12
- Django, FastAPI
- SQLAlchemy, PostgreSQL
- Celery, Airflow
- pandas, data pipelines
- Pytest
- Docker, AWS
- Scraping and automation
When teams hire this role from us.
- Build a FastAPI backend for an AI product
- Automate reporting and data pipelines
- Replace a fragile scraping or ETL setup
From brief to first commit.
- 01
Brief
Tell us the stack, seniority and start date. 15 minutes on a call or a short form.
- 02
Shortlist in 48 hours
Two or three profiles with CVs, code samples and interview notes.
- 03
Interview
You interview them your way. Technical test optional; we already ran ours.
- 04
Start in 5 to 10 days
Access, onboarding and first stand-up in your hours. Two-week replacement guarantee.
Five steps before you see a profile.
Two-week free replacement if an engineer is not the right fit, and a 30-day notice to scale down.
- 01CV and portfolio screen against the role brief
- 02Technical interview with a senior engineer in the same stack
- 03Live coding or take-home exercise reviewed for quality, not speed
- 04English communication and async-writing check
- 05Reference check and background verification before onboarding
What a Python developer does on our teams
A Python developer on our team builds backends in Django or FastAPI, data pipelines in pandas and Airflow, and the automation that connects them. Many of our Python engineers sit between product and data teams: they expose a model behind an API, schedule the nightly job that feeds it, and write the tests that keep both honest. They are the usual choice for AI product backends and for replacing fragile ETL or scraping setups.
How we assess Python developers
- Framework depth: Django ORM and admin, FastAPI with Pydantic, async patterns and when not to use them
- Data work: pandas performance, idempotent pipelines, schema evolution and data quality checks
- Packaging and testing: virtual environments, type hints, pytest fixtures and CI
- Sample task: build a FastAPI service that ingests a CSV, validates it and exposes aggregated results with tests, in three hours
| Comparison | Innovation Insight | Toptal-style marketplace | Local hire |
|---|---|---|---|
| Monthly cost (senior) | $4,000 to $5,800, all-inclusive | $7,500 to $13,000 plus fees | $11,000 to $17,000 plus benefits and overhead |
| Time to start | 5 to 10 business days | 1 to 3 weeks | 6 to 12 weeks |
| Replacement | Free within two weeks, 30-day notice after | Trial period, then re-match | Notice period and a new recruitment cycle |
| Who manages | You, with our delivery lead on call | You | You |
What it's like to work with us.
Unedited, from founders and product leads who trusted us with their roadmap.
Innovation Insight has been a game-changer for our platform. Their expertise in UX/UI design and seamless technical integration helped us enhance user engagement, and their attention to detail ensured a flawless experience. We're beyond satisfied with the outcome and their commitment to our vision.
VonzaSaaS · Creator economyWorking with Innovation Insight felt like a true collaboration. Their team was responsive, creative, and focused on delivering results that matched our brand identity. Thanks to them, we now have a solution that not only meets our needs but exceeds expectations. Highly recommended!
MatterbooksPublishing · MediaInnovation Insight provided us with an innovative and scalable solution that transformed the way we manage our operations. Their approach to problem-solving, combined with their deep understanding of technology, made them an invaluable partner. The results speak for themselves.
SolasEnterprise · OperationsHiring Python developers, answered.
Django or FastAPI?
Django for admin-heavy products with relational data, FastAPI for lean services and AI backends. We are fluent in both.
Do they do data engineering?
Yes, from pandas pipelines to Airflow and warehouse loads.
Can they work on ML code?
For model work we pair them with an ML engineer from our AI team.
Other roles
Prefer a managed project? See our ai and data solutions service.