Python Developers for Data-Heavy Products
Python is not just a scripting language anymore. It powers trading algorithms at hedge funds, recommendation engines at streaming companies, and data pipelines processing terabytes daily. Our Python developers bring that kind of production experience to your team — whether you need a Django backend or a machine learning pipeline.
Why Hire Dedicated Python Developers?
Python's readability makes it look easy. But writing Python that handles 10,000 concurrent requests, processes 50GB CSV files without running out of memory, or trains ML models on GPU clusters — that takes specialized experience. Dedicated Python developers bring domain knowledge that a generalist simply cannot match, especially for data-intensive applications.
- Specialists in Python's async capabilities — asyncio, ASGI servers, and concurrent.futures for CPU-bound work
- Production experience with data processing at scale using Pandas, Polars, Dask, and Apache Spark via PySpark
- Framework expertise across Django (batteries included), FastAPI (modern async), and Flask (lightweight flexibility)
- ML/AI integration skills with PyTorch, scikit-learn, and Hugging Face transformers for production model serving
What Our Python Developers Deliver
From web backends to ML pipelines, our developers cover the full range of Python applications in production environments.
Web Backends & API Services
Django REST Framework for full-featured APIs, FastAPI for high-performance async services, or Flask for lightweight microservices. Our developers choose based on your actual requirements — not resume keywords.
Data Pipeline Engineering
ETL/ELT pipelines with Apache Airflow, Prefect, or Dagster. Data transformation with Pandas, Polars, and SQL. Handling messy real-world data — missing values, encoding issues, schema drift — without losing a single record.
Machine Learning Integration
Taking models from Jupyter notebooks to production APIs. Model serving with FastAPI, BentoML, or MLflow. Feature stores, model versioning, A/B testing frameworks, and monitoring for data drift. The last mile that most ML projects never finish.
Database & ORM Mastery
Django ORM, SQLAlchemy, and Tortoise ORM with PostgreSQL, MySQL, and MongoDB. Query optimization that turns 30-second page loads into sub-second responses. Migration strategies for zero-downtime schema changes.
Automation & Scripting
Celery task queues for background jobs, APScheduler for cron-like scheduling, and custom automation scripts that replace 40 hours of manual work per week. We have automated reporting pipelines, data validation workflows, and deployment processes.
Cloud-Native Python Deployments
Docker containers, AWS Lambda with Mangum, GCP Cloud Functions, and Kubernetes deployments. Our developers write Dockerfiles that produce slim images and configure autoscaling that handles traffic spikes without overspending.
Where Python Developers Make the Biggest Impact
Python is the right tool for many jobs, but not all. Here is where dedicated Python developers pay for themselves.
AI/ML Product Development
Building the infrastructure around machine learning models — data ingestion, feature engineering, model serving APIs, monitoring dashboards, and retraining pipelines. One of our teams reduced model deployment time from 2 weeks to 4 hours by building a standardized ML platform on FastAPI and MLflow.
Financial Data Platforms
Real-time market data processing, risk calculation engines, and regulatory reporting systems. Python's NumPy and Pandas libraries handle the heavy numerical computation while Django or FastAPI serves the results through secure, audited APIs that meet SEC and FINRA requirements.
Scientific Computing & Research Tools
Turning research prototypes written in Jupyter notebooks into production-grade applications. We work with biotech companies, climate research labs, and materials science teams who need their computational models wrapped in proper APIs with authentication, logging, and error handling.
Data Analytics Platforms
Internal BI tools that replace expensive Tableau or Looker licenses. Custom dashboards built with Plotly Dash or Streamlit on the frontend, backed by optimized SQL queries and caching layers that make even queries over billion-row datasets feel snappy.
Getting Your Python Developer Onboarded
We move fast because we have already done the hard part — vetting and training the developers. Your job is just to pick the right one.
Tell Us Your Python Needs
Web backend? Data pipeline? ML integration? Let us know your use case, the frameworks you already use, and whether you need someone who leans more toward software engineering or data science. Most of our developers do both, but emphasis matters.
Review Curated Profiles
We send 2-3 developer profiles within 24 hours. Each includes their Python specialization, framework experience (Django vs FastAPI vs Flask), data tool proficiency, and relevant project case studies with measurable outcomes.
Technical Deep Dive
A 60-minute session where you can ask about system design, review their code samples, or discuss how they would approach your specific problem. We encourage whiteboard-style architecture discussions for backend and data engineering roles.
Paid Trial Week
Your developer joins your team for a trial sprint. For Python roles, we suggest assigning a task that touches your data layer — it is the fastest way to assess whether someone truly understands your domain and data model.
Long-Term Engagement
Move to a monthly contract with flexible terms. Scale from 1 developer to a full data engineering team as your project scope grows. All our contracts include a 30-day out clause — we earn your business month by month.
Ready to get started? Let's discuss your project.
Python Developer Pricing
Flat monthly rates. Data tools, cloud certifications, and code review processes are included — not billed separately.
Individual Developer
One senior Python developer focused entirely on your project. Best for teams adding backend or data engineering capacity without a long hiring process.
Custom pricing based on your requirements
- 1 dedicated Python developer (3-10 years experience)
- Full-time (40 hrs/week) with timezone overlap
- Django, FastAPI, or Flask specialization
- Data pipeline and ML integration experience
- 2-week risk-free trial
- Starting at $3,500/month
Python Team (2-3 Developers)
A small team combining backend and data engineering skills. Typically one senior architect who sets patterns plus 1-2 developers who execute at speed.
Custom pricing based on your requirements
- 2-3 Python developers with complementary skills
- Senior lead handles architecture and code standards
- Combined backend + data pipeline expertise
- Internal code review and pair programming
- Data infrastructure setup included
- Starting at $9,000/month
Full Data Engineering Team
A complete Python-centric team with backend developers, a data engineer, an ML engineer, and a QA specialist. For companies building data products or AI-powered applications from the ground up.
Custom pricing based on your requirements
- 4-7 team members across Python disciplines
- Technical lead with data architecture experience
- ML engineer for model development and serving
- Data engineer for pipeline and warehouse management
- QA engineer with data validation expertise
- Starting at $20,000/month
Hire Python Developers Questions Answered
Quick answers to the questions we hear most often.
Django and Django REST Framework for full-featured web applications, FastAPI for high-performance async APIs, and Flask for lightweight services and prototypes. For data work, our developers use Pandas, Polars, NumPy, and SQLAlchemy daily. Most of our senior developers have shipped production code with at least two of these frameworks.
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Ready to Get Started with Hire Python Developers?
Let's discuss your project and discover how we can help you achieve your business goals with our expert team.