New site, same team. Noida, since 2013.
NOIDA · CORPUS CHRISTI · AUCKLAND+91 98719 12805[email protected]
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Hire Python developers

Django, FastAPI, data pipelines

Python engineers for Django and FastAPI applications, data pipelines, and the internal tooling that quietly runs the business. Hourly only at the moment, because the monthly bench is fully committed.

FastAPIDjangoCelery
$25Hourly rate
15dRisk-free trial
5dTypical start
2On the bench now

Monthly dedicated engagements for Python are fully booked until the next hiring cycle. Hourly is available now, minimum 40 hours.

Get 3 matched profiles

Tell us the role. CVs, availability and a rate in your inbox within 48 hours.

Both optional, we will suggest a model if you are unsure.

No commitment, no retainer to see CVs. NDA on request. Privacy Policy

Python covers an unusually wide spread of jobs, and pretending one engineer does all of them well is how these projects go wrong. A Django developer who has run migrations against a ten-year-old schema is not the same person who tunes a Spark job. Part of our job is telling you which one your brief actually describes.

The engineers on this bench work in two areas. Application development: Django and DRF for systems with real domain rules and an admin people use every day, FastAPI for services that need async throughput and a typed contract. And data and automation: ETL with Airflow or Prefect, pandas and Polars for transformation, scheduled jobs reconciling data between systems nobody has been given budget to integrate properly.

Both groups share the same habits. Type hints. Ruff and mypy in the pipeline. pytest with fixtures rather than forty lines of copy-pasted setup. Dependency locks that actually pin.

When a dedicated Python developer is the right call. There is a Django application carrying years of business logic and nobody left who wrote any of it. You need an internal tool that talks to three systems on a schedule. You want an API in front of a model or a database that a partner can consume. Or a spreadsheet process has quietly become critical and now needs to be software before somebody deletes a row.

When it is not. If the goal is a retrieval chatbot or an agent, hire an AI engineer instead, because the Python is the easy part of that job. If the work is really about workflow tools like n8n or Make, the automation engineer costs less and ships sooner.

About the missing monthly rate. It is absent because it would not be true today. Every Python engineer available for a dedicated monthly engagement is placed. Hourly starts now with a 40-hour minimum, and we will tell you when monthly opens rather than take a deposit against a date we cannot keep.

Scope

What they do

Django applications

Domain-heavy systems in Django and DRF: models that match the business, an admin your staff genuinely use, and migrations that run without drama.

FastAPI services

Async APIs with Pydantic validation, OpenAPI documentation generated from the code itself, and typed clients for whoever consumes them.

Data pipelines

Airflow or Prefect DAGs, pandas and Polars transformations, idempotent loads into PostgreSQL, BigQuery or Snowflake.

Integration and automation

Scheduled jobs reconciling CRM, ERP and accounting systems, with an alert when a run fails rather than three weeks of silence.

Scraping and ingestion

Resilient collectors with rate limiting, proxy handling and schema validation, built to respect robots rules and the site's own terms.

Testing and packaging

pytest suites against a real database, Ruff and mypy gates, Docker images, and dependency locks that reproduce on somebody else's laptop.

Skills matrix

Skills

Python 35+ years · type hints, async and await, dataclasses, context managers, packaging
DjangoORM in depth, DRF, custom admin, signals used sparingly, migrations against live data
FastAPIPydantic, dependency injection, async database access through SQLAlchemy
Datapandas, Polars, NumPy, Airflow, Prefect, dbt · PostgreSQL, BigQuery, Snowflake
ToolingRuff, mypy, uv or Poetry, pre-commit, pytest with coverage gates
InfrastructureDocker, Celery with Redis, GitHub Actions, AWS Lambda and ECS deployments
Levels

Seniority & rates

Mid-level · 3–5 yrsDelivers features and pipeline tasks to a defined design, wants review on schema and async decisions. Around 25% below senior.
Senior · 5–8 yrsOwns the application or the pipeline, models the domain, sets the testing bar. The hourly rate on this page.
Lead / architect · 8+ yrsDesigns the data platform, reviews across teams, plans the migration off whatever is currently failing. Roughly 1.4× senior.
On the bench

Sample profiles

Senior Django engineer9 yrsMaintains a logistics platform with 200 models and eleven years of history; ran both the Python 2 to 3 and the multi-version Django upgrades without a feature freeze.
DjangoDRFPostgreSQLCelery
Python data engineer6 yrsBuilt the Airflow pipeline consolidating CRM, billing and support data nightly; failures now page a human instead of being noticed a month later.
AirflowPolarsdbtBigQuery
Engagement

Engagement models

Hourly

$22/hour

For bursts of work and part-time needs. Minimum 40 hours. Time tracked in Hubstaff, reported weekly.

  • Pay for logged hours only
  • Scale up or down weekly
  • Same senior engineer throughout
Start hourly
How it works

How to hire

01

Say which kind of Python this isDay 0

Domain application, service API, or data pipeline. Those are three different engineers and naming yours saves both of us a wasted shortlist.

02

Two matched profiles48 h

CVs showing the specific Python they have actually done, not a list of libraries. Hourly rate and earliest start date confirmed in the same message.

03

Interview and set a real problem2–4 days

Give them a slow query or an awkward migration from your own system. Nothing is charged here, and we will not push a profile you were unsure about.

04

The first 40 hours are the trialDays 1–15

On hourly work the trial is those hours: a real ticket, a decision written down, and an honest read on whether this needs one engineer or two. Stop there and they are not invoiced.

05

Keep going, or pauseOngoing

NDA and IP before the first commit, credentials in your own cloud account, weekly hour reports. Scale up when monthly capacity opens, or stop with no notice period on hourly.

Questions

FAQ

Why is there no monthly rate on this page?

Because it would not be true today. Every Python engineer available for a dedicated monthly engagement is placed with a client. Hourly is available now with a 40-hour minimum, and you will hear from us the moment monthly capacity opens rather than after you have committed to something else.

Django or FastAPI for a new project?

Django when there is real domain complexity, an admin interface and a team that will grow. Batteries included saves months of work nobody wants to do twice. FastAPI when it is a service, throughput matters and the front end is separate. The engineer makes the call in week one and writes down the reasoning.

Can they take over a Python 2 or legacy Django codebase?

Yes, and we have done several. Tests around the parts that earn money first, then upgrade in deployable steps. Expect months rather than weeks, and a written plan before a single line changes. Anyone quoting you three weeks for this has not looked at the code.

Do your Python developers do machine learning?

Some do. But if the core of the project is retrieval-augmented generation, agents or model evaluation, hire the AI and LLM engineer instead. You get somebody whose day job that is, at a rate that reflects it, and a faster answer to whether it will work at all.

How do you handle data privacy on pipeline work?

NDA before access, least-privilege credentials in your own cloud account, no client data copied to our machines, and PII masked in every non-production environment. Under GDPR or India's DPDP rules we document the data flows as part of the work rather than as an afterthought.

Tell us the role. Profiles in 48 hours.

No retainer to see CVs, and no invoice until the trial ends and you say yes.

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