Senior Python Developer
Backend Developer
Python
Senior
API
APIs
Big Data
Bigdata
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Technology
Data Analysis
Data Architecture
Data Engineer
Data Integration
Data Platform
Data Processing
Data Science
Database
Databases
Deep Learning
DevOps
DevSecOps
Engineering
ETL
Fastapi
Flask
Informatica
Kubernetes
Machine Learning
Machine Learning Engineer
Platform Engineering
Programming
Programming Language
Programming Languages
Pyspark
PyTorch
scikit-learn
Software Development
Software Engineer
SQL
TensorFlow
Web Framework
Job Description
Technology Ventures is hiring a Senior Python Developer in McLean, VA for an onsite role focused on building reliable, data-intensive systems. You will design and maintain Python applications and ETL pipelines that support processing, analytics, and production reliability, working across APIs, PostgreSQL, and scalable data transformations.
What you’ll do
- Design, build, and maintain scalable Python applications for data processing and analytics.
- Develop RESTful APIs using Flask or FastAPI.
- Implement and optimize complex SQL queries and database structures in PostgreSQL.
- Architect and maintain ETL pipelines using Informatica, emphasizing data quality and data integrity.
- Work with large datasets, ensuring efficient data ingestion, transformation, and storage.
- Develop and optimize data transformation workflows using PySpark.
- Collaborate with cross-functional teams to define technical requirements and deliver solutions.
- Troubleshoot and resolve issues in production environments.
- Mentor junior developers and help drive best practices.
What you bring
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 5+ years of professional experience as a Python developer.
- 3+ years with PostgreSQL, including database design and performance tuning.
- 3+ years developing APIs with Flask or FastAPI.
- Proven experience working with large datasets and data-intensive applications.
- Experience integrating AI or machine learning models into data pipelines or applications.
- Familiarity with Python-based ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- 2+ years of data transformation experience with PySpark, Dask, Polars, or similar tools.
- Strong understanding of data modeling, data warehousing, and data integration.
- Experience with version control systems such as Git.
- Excellent problem-solving skills and attention to detail, with strong communication and teamwork.
Must have
- 5+ years of engineering experience, including at least 2 years of recent Python experience specializing in heavy data applications.
- Demonstrated data integrity skills and strong SQL proficiency, including a track record leading data-focused projects.
Preferred
- Hands-on experience with Informatica and ETL processes.
- Experience with cloud platforms.
- Familiarity with containerization including Docker and Kubernetes.
- Knowledge of data visualization tools and techniques.
Technologies you’ll work with
Python, PostgreSQL, Flask, FastAPI, SQL, Informatica, PySpark, RESTful APIs, ETL pipelines, AI, machine learning, scikit-learn, TensorFlow, PyTorch, Dask, Polars, Git, Docker, Kubernetes.
Work location: In person