Senior Python Developer - W2 contract

Senior Python Developer   

6 Months contract –  Later Hire (CTH/C2H)

McLean , VA – On-site   M-F  / W2 Contract 

Interview Information:

Rounds: 2 rounds   /  Interview Type: MS Teams - Video Mandatory| In Person

 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 c, with a proven track record of leading data-focused projects.

Job Description:

• 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).
• Knowledge of data visualization tools and techniques.