What are the responsibilities and job description for the Senior Python Developer - W2 contract position at eSolutionsFirst, LLC?
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.