Senior Python Developer

Work sponsorship is not available for this position. Job Title: Python Developer Senior Locations: Onsite in Mclean, VA (5 days a week) Interview Type: In-Person Job Overview: Must Have Qualifications: 5+ years of engineering experience with at least 2 years of recent Python experience, specializing in heavy data applications. Demonstrates strong data integrity skills and proficiency in SQL, with a proven track record of leading data-focused projects. Overview: We are seeking an experienced Senior Python Developer to join our team. The ideal candidate will have a strong background in Python development, PostgreSQL, Flask or FastAPI, and data transformation using modern data-processing frameworks. You will be responsible for designing, developing, and maintaining data-intensive applications and ETL pipelines. Experience with Informatica and scalable data transformation approaches is preferred. Responsibilities: • 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, ensuring data quality and 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 contribute to best practices. Requirements: • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • 5+ years of professional experience as a Python developer. • 3+ years of experience with PostgreSQL, including database design and performance tuning. • 3+ years of experience 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 machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. • 2+ years of experience with data transformation using PySpark, Dask, Polars, etc. • Strong understanding of data modeling, data warehousing, and data integration concepts. • Experience with version control systems (e.g., Git). • Excellent problem-solving skills and attention to detail. • Strong communication and teamwork abilities. Preferred Qualifications: • Hands-on experience with Informatica and ETL processes. • Experience with cloud platforms. • Familiarity with containerization (Docker, Kubernetes). 1. Knowledge of data visualization tools and techniques Benefits: We offer a benefits package including medical, dental, vision, and 401(k). Compensation: $85.00 – $90.00 per hour. This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.