Python projects slow down when prototype code reaches production and nobody has time to make it dependable.
Hire Python Developers for APIs, Data Pipelines & Machine Learning Services
Python engineers who write typed, tested services and pipelines, and who can turn a notebook into something that runs every day without supervision.
- Django, FastAPI and Flask in production
- Type hints, linting and tests as routine
- Comfortable with pandas, SQL and task queues
- Interview the developer before any contract
- DaysTo a shortlist
- MonthlyContract terms
- YoursCode and IP
Teams That Build With SyntecHire
References available on request.
What You Can Build With Python
Web Applications and APIs
Admin-heavy products and public APIs with authentication, permissions and clear data models.
Tech Stack
- Django
- Django REST Framework
- PostgreSQL
- Celery
Outcome
Business rules live in one tested place instead of being spread across scripts.
Python has been among the most commonly used programming languages in the Stack Overflow Developer Survey for several years running.
Technical Expertise Our Python Developers Bring
Idiomatic Python, including generators, context managers and the data model.
- Python 3
- Dataclasses
- Generators
Annotated code checked in CI, so a wrong argument is caught before it runs.
- mypy
- Ruff
- Pydantic
Django for full products, FastAPI for typed async APIs, Flask where a small service is enough.
- Django
- FastAPI
- Flask
Schema design, migrations and query tuning, with raw SQL when the ORM hides too much.
- PostgreSQL
- SQLAlchemy
- Alembic
Transforming and validating tabular data, and scheduling the jobs that depend on it.
- pandas
- NumPy
- Apache Airflow
Async I/O for network-bound services and task queues for work that should not block a request.
- asyncio
- Celery
- Redis
Fixtures, parametrised cases and property-based tests for logic with many edge cases.
- pytest
- Hypothesis
- tox
Pinned dependencies, reproducible builds and container images that start the same way everywhere.
- Docker
- Poetry
- GitHub Actions
How Python Has Evolved
- 1991
Python 0.9.0First release
Guido van Rossum published the first public version.
- 2000
Python 2.0Comprehensions
Added list comprehensions and a garbage collector that handles reference cycles.
- 2008
Python 3.0Clean break
A backward-incompatible release that made text Unicode by default.
- 2015
Python 3.5Async and types
Introduced async and await syntax and the typing module for type hints.
- 2021
Python 3.10Pattern matching
Structural pattern matching with match and case statements.
- 2024
Python 3.13Free threading
Added an experimental build without the global interpreter lock and an experimental JIT compiler.
When Python Is The Right Choice
Choose Python when
- Data is central to the productAnalysis, pipelines and models share one language and one set of libraries.
- You want a first version soonReadable syntax and full-featured frameworks shorten the path to a working product.
- The back office mattersThe Django admin gives operations staff a usable interface with little extra work.
- Many systems need joining togetherPython has client libraries for most APIs, databases and file formats.
Consider something else when
- You need the lowest latencyInterpreted code is slower for CPU-bound work. Go, Rust or Java are better suited.
- The work is heavy parallel computation on threadsThe global interpreter lock limits threads in the standard build. Processes or another language may be needed.
- The target is a mobile or browser clientPython is not a practical choice for those front ends.
- You want a single small binaryA Python deployment carries an interpreter and its dependencies. Go or Rust package more simply.
Why CTOs Choose Us
Web back end, data engineering and machine learning are different jobs. We match to the one you need.
Candidates work on an existing Python codebase, so we see how they test, type and review.
You interview the developer before any contract and decide whether to go ahead.
The developer works in your repository and tools, and on your product only.
Month to month, no exit fee, and a replacement if the fit is wrong.
How Your Developer Joins The Team
- 1Step 1
Discovery
A call about your stack, team and the work ahead.
- 2Step 2
Matching
A shortlist of people who have done similar work.
- 3Step 3
Onboarding
Access, environment setup and a first small task.
- 4Step 4
Shipping
Regular pull requests inside your review process.
AI In Delivery
Where coding assistants help, and where a person decides.
Used for speed
Boilerplate, test scaffolding and first drafts of documentation.
Always reviewed
Every change is read and approved by an engineer before it merges.
Never given secrets
Credentials and client data stay out of prompts. Your policy on AI tools applies.
Security And IP
What we enforce on every engagement.
IP assignment
All work product is assigned to you in the contract.
NDA first
Signed before anyone sees your code.
Least privilege
Access limited to what the task needs.
Clean exit
Access revoked and handover documented when work ends.
Python Developer Pricing Tiers
- Early career
Entry
On request
- Works on defined tasks
- Pairs with a senior reviewer
- Suited to well-scoped backlog items
- Mid level
Experienced
On request
- Owns features end to end
- Reviews others' code
- Suited to most product teams
- Senior
Expert
On request
- Leads architecture decisions
- Mentors the team
- Suited to complex or legacy systems
Rates depend on seniority, stack and team size. We quote a fixed monthly figure per developer.
What Is Included In The Rate
| SyntecHire dedicated developer | Typical freelancer | |
|---|---|---|
| Screening and onboarding | Included | Your time |
| Replacement if the fit is wrong | Included | Start again |
| Continuity and handover notes | Included | Varies |
| IP assignment and NDA | In the contract | Varies |
| Availability | Full time on your product | Shared across clients |
Is A Dedicated Developer The Right Fit?
Five quick questions.
1Is the work expected to run for three months or longer?
2Do you have someone who can set priorities each week?
3Is there an existing codebase or a clear specification?
4Do you want the developer inside your own tools and reviews?
5Would losing context between contractors hurt the project?
0 of 5 answered. Answer every question to see the result.
Related Insights
View All Articles- HiringHow to brief a remote developer so week one is productiveA short checklist covering access, context and a first task that is small enough to finish.
- Project ManagementStaff augmentation or a dedicated team: a decision you can make in ten minutesFour questions about ownership, runway and management time that settle the choice.
- ModernisationSigns your legacy platform has become a business riskWhat to look for in release frequency, incident history and hiring difficulty.
Python Hiring Questions
They review and extend an existing Python project, then walk through their decisions in a live technical interview. Communication is checked as well.
Yes. Tell us whether the role is web back end, data engineering or machine learning, because the skills differ. We shortlist for the one you need.
Django suits products with many models, an admin and server-rendered pages. FastAPI suits typed async APIs and model serving. Developers can work with either.
Yes. The usual approach is to add tests around current behaviour, upgrade dependencies in small steps, and move to a supported Python release.
You do. All code and IP belong to you, and an NDA is signed before the developer is given access.
Engagements run month to month. There is no exit fee.