For calculations and pipelines that have to be exactly right
Hire Python Developers
Python's readability makes bad code easy to write and easy to overlook, because it always looks reasonable. These engineers are matched to that specific risk, evaluated on the work above, and onboarded inside the process your team already runs.
- Profiles typically within two business days
- Replacement Assurance: If an engineer is not the right fit, a replacement from our own team starts within ten business days of your request, at no extra cost
- You interview before placement if you want to
- At least four hours a day inside your core working hours. Two hours plus a daily written handover for the US West Coast
- 14-Day Risk-Free Trial: For your first engineer on a time-and-materials engagement. Up to 14 calendar days or 80 logged working hours, whichever comes first. End within the trial and pay nothing for trial hours. Continue beyond it and those hours are billed at the agreed rate. Unpaid trial work remains ours if you stop
How we evaluate a Python engineer
The tasks, the signals and the onboarding, walked through by the people who run them.
90 secSample frame · video pending01Published, not promised
The assessment behind every engineer we send.
The Python assessment is public: five competencies, the exact task behind each, and what a failing answer looks like. Most vendors keep this hidden. We would rather you graded us on it.
What we listen forWhether the model reflects the domain or just the first draft that worked.
Here is a data model for a subscription billing system that broke when we introduced annual plans. Find the modelling assumption that caused it.
- What strong sounds like
- Identifies the specific assumption baked into the original schema and explains why annual plans violated it, not just that something broke.
- What gives us pause
- Proposes a patch to handle the new case without identifying the underlying assumption that will break again for the next edge case.
Python · FastAPI · Django · Flask
PostgreSQL · SQLAlchemy · Pandas · Celery
pytest · mypy · tox
Docker · Poetry · GitHub Actions
02Who you actually meet
The bench, priced by seniority.
Three seniority tiers, priced honestly, and the engineers who fill each one today. Real names and photos take their place as soon as we can share them, and the standard stays exactly the same.
Engineer
Features scoped tightly enough to ship inside your review bar, every time.
The right first hire when your seniors already set the standard.
$2,400–3,100per month
Senior
The hard module nobody else wants to own, taken end to end.
Ownership of a surface, without adding a manager to your headcount.
$3,400–4,300per month
Lead
The workstream's decisions, made daily, so nothing waits on a meeting.
One accountable voice for a pod or initiative that can't afford to drift.
$4,600–5,800per month
Python engineer
3 yrs · UK overlap
Maintains a Celery pipeline processing nightly settlement files
- Django
- PostgreSQL
- pytest
- Docker
Senior Python engineer
8 yrs · EU hours
Found and fixed a billing precision bug before it reached invoices
- Python
- FastAPI
- SQLAlchemy
- Pandas
Lead data engineer
10 yrs · US East split
Rebuilt a warehouse ingestion layer that finance now signs off on
- Python
- Airflow
- dbt
- Snowflake
Indicative ranges, representative profiles. Exact figures and named engineers arrive with your shortlist.
Weighing this against a freelancer, a direct hire or a marketplace? See the honest comparison
03From stated problem to first change
Four steps, each closing on evidence.
The hiring sequence is designed to be inspected. Each of the four steps ends in an artefact you can hold, and stopping early carries no obligation.
Define the data problem
We map what the system actually needs to calculate and process correctly. The role brief describes the problem to solve, not a list of Python libraries to know.
A brief your leads signMatch against your stack
Candidates are screened against your framework, your data volume and your review culture. Three engineers who fit beat thirty who list the right packages.
Three fits, not thirty CVsAssess on the real tasks
Watch the data-modelling and rounding-error exercises run live if you want the evidence first-hand. You see judgement about correctness, not a rehearsed answer about readability.
Evaluation you can watchOnboard inside your process
Access, standards and a first bounded change to a real pipeline. Departures become our scheduling problem under continuity cover, arriving at your team as a briefed replacement.
A merged change in week one
04Evidence and proof
Engineers who caught the wrong number before it shipped.
Python proof is correctness caught early and pipelines that hold at real data volume. Every record here waits for written client approval before production.
Explore case studies
A billing calculation error found before it reached a customer invoice.
Tern's usage-based billing had a rounding discrepancy that only appeared at high transaction volume. An embedded Python engineer traced it to a decimal precision assumption and fixed it before the next billing cycle.
- Customer invoices affected
- Zero, caught pre-cycle
- Time to root cause
- Under one week
He found the exact rounding bug we had been chasing for a month, in the interview task, before he had access to our actual code.
Sample · pending client approval
She explained the GIL limitation to our whole team in a way that finally made our threading decisions make sense.
Sample · pending client approval
05Three shapes, one standard
Add an engineer, a data pod, or a practice.
Choose the smallest shape that fits: a named engineer in your reviews, a data pod owning pipelines outright, or the Python practice when delivery is the actual need.
- Team extension
One named engineer
A single Python specialist inside your direction and your reviews. The smallest commitment and the most common starting point.
- Delivery pods
A data pod
Engineers and a lead who own the pipeline layer end to end. You set priorities and acceptance while the pod carries delivery.
- Python development
The practice, not the person
When the work is a Python platform build rather than a role to fill, the Python development practice carries delivery accountability instead.
06Straight answers
Asked before a Python hire is signed.
01What does a Python engineer actually do day to day?
Designs data models and pipelines, writes and maintains backend services, reasons about concurrency and performance, and keeps tests aligned to actual correctness rather than surface coverage. The unglamorous majority of the work is catching wrong assumptions before they become wrong numbers.
02Do you hire for Django, FastAPI or Flask specifically?
Matched to your actual stack. The evaluation focuses on data modelling and correctness judgement, which transfers across frameworks, then confirms familiarity with whichever one your codebase runs.
03Can we run our own interviews as well?
Absolutely, and the published tasks are reusable in your own loops. Some clients grade our assessment recordings before deciding to interview at all.
04How fast can a Python engineer start?
Shortlists arrive in days, not weeks, because the bench is standing. Onboarding pace is then set by your access approvals more than by anything on our side.
05Who manages the engineer day to day?
You direct the work entirely. We carry what an employer carries: continuity, payroll, replacement exposure, and the transitions when circumstances change.
06What if the engineer is not the right fit?
Raise it the week you feel it. Replacement is our cost, and the follow-up match is built from what specifically missed rather than another cold start.
07Do your Python engineers use AI in their daily work?
Yes, with the accountability kept human. AI speeds up scaffolding, data-wrangling snippets and test drafts, while the engineer answers for schema design, numeric correctness and each merged change. A wrong number remains a person's responsibility, never a tool's.
08How does pricing work for a hired Python engineer?
The seniority bands above frame the cost honestly. Exact per-engineer figures come with the shortlist, with no fee before interviews and no lock-in past notice.