For US product and engineering leaders
Hire Python developers for Django and FastAPI backends or for data pipelines, and know which one you are getting. Every profile shows the engineer's lean, the Python versions and frameworks they have shipped, and the result of a technical round with our senior Python engineers.
- Senior engineering oversight
- US workday overlap
- Your stack and controls
Start with one Python developer. Add a team when the product needs more capacity.
Python capacity, inside your org.
Python developers who work in your codebase, quality gates and release rhythm.
Built for product and engineering leadersOne senior Python developer to a full backend team
- 01Years engineering software
- 20+
- 02Engineers under one roof
- 200+
- 03Clients served
- 300+
- 04Global delivery locations
- 5+
Dallas headquarteredDelivery across the USA, India, Canada, Mexico and Colombia
Tools our Python developers use
We work with the Python tools, frameworks and architecture your teams already use: Django, FastAPI, pandas and PostgreSQL.
Core
- PythonCore language
- DjangoWeb framework
- FastAPIAsync APIs
- FlaskLight services
- pandasData analysis
- PostgreSQLRelational data
Ecosystem
- SQLAlchemy
- Pydantic
- Celery
- Redis
- NumPy
- PyTorch
- Airflow
- pytest
- Docker
We choose tools for your product, your data, your security needs and your deployment plan.
Python work we cover
The Python work our engineers take on, from APIs through data pipelines and model serving, and the tools they use every day.
Web backends and APIs
Django, FastAPI or Flask, chosen for your product, with typed models and API docs generated as you go.
Common work
- API development
- Admin and back office
- Feature development
Tools
- Django
- FastAPI
- Pydantic
- PostgreSQL
Notebook to production
Exploratory notebooks turned into tested, packaged code with scheduled jobs and monitoring around it.
Common work
- Data pipelines
- Scheduled jobs
- Model serving
Tools
- pandas
- Jupyter
- Airflow
- FastAPI
Background work that keeps up
Queues and workers for the slow jobs, so requests stay quick and nothing gets dropped along the way.
Common work
- Task queues
- Integrations
- Performance tuning
Tools
- Celery
- Redis
- SQLAlchemy
- Docker
Typed, tested code
Type hints, linting and tests on every change, so a growing Python codebase stays safe to change.
Common work
- Test coverage
- Version upgrades
- Refactoring
Tools
- pytest
- Ruff
- mypy
- uv
Why JumpGrowth
Senior India-based engineers for US teams, backed by delivery across the USA, India, Canada, Mexico and Colombia.
- Years engineering software
- 20+
- Engineers under one roof
- 200+
- Clients served
- 300+
Engineers matched to your work
Start from the Python stack, domain, seniority and delivery habits you actually need. Review profiles and test the technical fit before you choose.
- Specialists
- Domain experience
- Direct interviews
Your team keeps ownership
Your leads set priorities, review the work and own the roadmap. Our engineers join your rituals, your repositories and your release process.
- Your tools
- Your rituals
- Your roadmap
Capacity without the handoff
Nothing is thrown over a wall. Engineers work in your sprints with US workday overlap, so APIs, data work and releases move every day.
- US overlap
- Daily stand-ups
- Shared sprints
Python developer hiring models
Embed a Python developer in your team, add a small backend squad, or pair Python engineers with a dedicated delivery pod.
Staff augmentationEmbed one Python developer
A dedicated Python specialist in your team, your codebase and your sprint cycle, reporting to your lead.
- Python
- Django
- FastAPI
Augmented squadAdd a team of Python developers
Several Python developers for a clear gap across APIs, data and services, led by your own managers.
- Django
- FastAPI
- Flask
Managed delivery podPair Python with a pod
Python developers with a dedicated delivery pod, so APIs, data and release stay in one team.
- Python
- Architecture
- Delivery
You stay in control. Our engineers work in your codebase, your tools and your delivery process.
Cost savings calculator
Move the slider to compare a senior US Python team with an India-based team of the same size. Price depends on seniority, US overlap and whether you hire one developer or a pod.
A planning estimate: $90 an hour onshore and $32 offshore, 160 hours per person each month. Not a JumpGrowth quote. Final cost follows seniority, overlap and scope.
US onshore at $90/hr
$43,200
per month
Offshore at $32/hr
$15,360
per month
Estimated monthly savings
$27,840
About 64% lower than the US onshore estimate.
Get a costed plan for the Python role, seniority and team shape you need.
Find the right skill
Pick a skill to see the kinds of engineers we match to your team: backend architect, Python specialist, data engineer or ML engineer.
Senior specialty role
Backend Architect
Sets the shape of your Python services: frameworks, data models, boundaries and the standards the team builds to.
- Python
- Django
- FastAPI
- PostgreSQL
Senior specialty role
Python Specialist
Ships features end to end in your codebase, from the data model to the endpoint, with the tests alongside.
- Django
- FastAPI
- SQLAlchemy
- pytest
Senior specialty role
Data Engineer
Builds the pipelines and scheduled jobs that move and clean the data your product runs on.
- pandas
- Airflow
- Polars
- PostgreSQL
Senior specialty role
ML Engineer
Takes models from the notebook to a tested, monitored service your product can call.
- PyTorch
- scikit-learn
- FastAPI
- Docker
Example roles. We confirm availability and fit before you decide.
What our engineers do
Add the skills you need across Python APIs, data pipelines, model serving and secure release.
Build
Build Python applications
Python developers who build Django and FastAPI backends, async workers and the data services behind them, with tests and type checks in CI.
- Django
- FastAPI
- Flask
Integrate
Connect your systems
Specialists who connect your services to databases, queues, data pipelines and third-party APIs.
- REST and GraphQL
- Celery
- Airflow
Platform
Deploy securely
Engineers who package, ship and monitor Python services safely through your pipeline.
- Docker
- CI/CD
- Security
How they help
Hire one Python developer or a backend team. We cover APIs, data, models and production.
- 01
Build inside your product
Python features, APIs and workflows that fit the architecture you already have.
Features, APIs and interfaces
- 02
Develop the data layer
Data models, state and the connections your application depends on, designed to hold up as it grows.
Data, state and connections
- 03
Integrate and release
Work through your services, quality gates, cloud and release process until the code is a usable system.
Integration, testing and release
- 04
Operate and improve
Observability, maintenance, security and steady follow-through, so the product stays reliable after launch.
Stability, security and evolution
Need a related team around your Python developer?
Find the right roleHow teams use us
The roles we brought in, and what each team achieved. Examples of use, not guarantees.
- US product company01
Dedicated product pod
Python product team
We provided Python developers to build the backend for a critical product launch and set up reliable delivery workflows.
Capability mix
- Backend Architect
- Python Specialist
- Delivery Lead
Python · Django · PostgreSQL · Celery
- Faster
- feature release cycles
- Reliable
- production deployments
- US enterprise platform02
Architecture and delivery
Python platform upgrade
We added specialists to move an older platform to current Python, put tests around it and pay down its technical debt.
Capability mix
- Python Specialist
- Platform Engineer
- QA Engineer
Python · FastAPI · pytest · Docker
- Current
- Python runtime
- Reduced
- technical debt
- US financial services03
Augmented squad
Secure data services
We placed Python developers inside the client’s strict security and compliance workflow to ship new reporting services.
Capability mix
- Backend Architect
- Security Engineer
- Data Engineer
Python · FastAPI · pandas · Airflow
- Compliant
- service releases
- Auditable
- data pipelines
Client details are kept private. Roles show the skills each engagement used. Results are examples, not guarantees. Related reading: Case studies, Hiring insights on the blog, How we build teams and Specialist developers.
One team. Two locations.
Your leaders own the product and the architecture. Our India-based engineers join your way of working, backed by delivery across the USA, India, Canada, Mexico and Colombia.
- Start small with the Python developer you need now.
- Work your way in your codebase, tools and quality process.
- Grow when needed by pairing Python with a dedicated delivery pod.
- 01Backend ArchitectArchitecture
- 02Python SpecialistCore delivery
- 03Data EngineerData
- 04ML EngineerModels
- Rituals
- Daily overlap
- Ownership
- Sprint outcomes
- Start
- Roadmap-led
Is this a good fit?
- 01You need a Python developer to ship APIs, data pipelines and services in your stack.
- 02You want to embed a Python developer in your team or pair engineers with a dedicated delivery pod.
- 03You need engineers who follow your security and release process.
- 04You want India-based engineers who work closely with your US team.
How it works
Leadership context
Discovery call
Tell us about your product, the Python gap and whether you need a backend architect, specialist, data engineer or ML engineer.
What we cover
- Your goals
- The team gap
- Your Python context
Team shape
Pick the model
Choose one Python developer, a small Python squad, or a developer paired with a delivery pod, and agree how the team works with yours.
What we cover
- Engagement model
- Seniority mix
- Working hours
Shortlist
Meet vetted options
Within days, review Python developers matched to your stack, your domain and the way you deliver.
What we cover
- Matched profiles
- Evidence of skills
- Availability
Your decision
Interview and select
Interview the shortlist yourself, test the technical fit and choose who joins.
What we cover
- Technical interview
- Team fit
- Your final pick
First sprint
Onboard and kick off
Access, introductions and a walkthrough of the codebase, then the first tickets inside your sprint.
What we cover
- Access and tools
- Codebase walkthrough
- First commit
Step 01
01How do I hire a Python developer for my team?
Hire a Python developer to build Django or FastAPI backends and take data work from notebook to production. Embed one engineer in your team or add a Python squad. You interview the shortlist and choose who joins.
02What Python skills can we hire for?
Backend architecture, Django, FastAPI and Flask, REST APIs, data work with pandas and Airflow, task queues, model serving, typing, testing and Python upgrades.
03Does a hired Python developer do data work as well as web backends?
Some do, and we say which. Each profile marks the engineer as web backend, data or both, with the projects behind it. If you need both, we often pair a backend engineer with a data engineer rather than stretch one person.
04Can you take our notebooks into production?
Yes. We turn exploratory notebooks into tested, packaged code with scheduled jobs and monitoring around it.
05Which Python versions do you work with?
Current releases by default. On older code we plan the upgrade in steps, with tests in place first.
06Will they fit our tooling?
They work in your repository, your CI and your conventions, whether that is Poetry, uv or plain pip.
07Can we embed a Python developer in our team or hire a pod?
Both. Add one Python developer through staff augmentation, or pair Python engineers with a dedicated delivery pod when you need APIs, data and release in the same team.
08What affects the cost of hiring a Python developer?
Seniority, US workday overlap, and whether you hire one developer or a pod. The planner on this page uses a $90/hr onshore and $32/hr offshore planning rate, 160 hours a month. It is an estimate, not a JumpGrowth quote.
09Is this staff augmentation or a managed delivery team?
Both. Add one Python developer, a small team, or a full pod with its own lead.
10Can we start with one Python developer?
Yes. Most teams start with one Python developer in a clear gap and add people once the fit is proven.
11Can we interview Python developers before we choose?
Yes. For backend roles, ask them to review a Django or FastAPI endpoint with an N+1 query and no type hints. For data roles, hand them a notebook and ask how they would ship it as a scheduled job. Both take under an hour and show real habits.
12Can we scale the team after the first Python developer starts?
Yes. Add people as the roadmap grows, or move from one Python developer to a managed pod with its own lead.
Hire a Python developer
Tell us whether you need a backend architect, Python specialist, data engineer or ML engineer, and whether they join your team or a pod.