| Location | McLean, VA |
| Industry | Management Consulting Services |
| Salary | $80.39 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Senior Python Developer
Location: McLean, VA
Duration: 15-16 months with possible contract to hire
Description:
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.
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:
Bachelors 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.
Call Notes:
Looking for someone with interpersonal & communication skills.
This role is heavy on reporting & modernization.
Utilize Python scripting for ETL process and replace Informatica.
End to end data process and transformation.
Able to write SQL queries.
Having Informatica exp is preferred but not mandatory.
This is a small team so they need someone to be hands on and able to understand the need and guide the junior team members.
Top Skills:
Data experience (End to end exp on data)
Sql - Query experience
Someone who does hands on, I build, I code.
Software Engineering
Python recent Experience.
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.