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
