BrothersTech
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Developer in McLean, VA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, PostgreSQL, Flask/FastAPI, and data transformation using PySpark. A Bachelor's degree and 5+ years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
McLean, VA
-
🧠 - Skills detailed
#PostgreSQL #Data Ingestion #Docker #Informatica #ML (Machine Learning) #Storage #Data Quality #Python #PyTorch #FastAPI #Scala #SQL (Structured Query Language) #Version Control #PySpark #Computer Science #Visualization #Data Integration #Database Design #Cloud #"ETL (Extract #Transform #Load)" #Datasets #GIT #SQL Queries #Data Pipeline #Kubernetes #Data Processing #Libraries #TensorFlow #Flask #AI (Artificial Intelligence) #Data Modeling #Spark (Apache Spark)
Role description
Client: Freddie Mac
Job Title: Senior Python Developer
Location: McLean, VA
Interview Type: MS Teams - Video Mandatory | In Person
Role 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).
• Knowledge of data visualization tools and techniques.
Client: Freddie Mac
Job Title: Senior Python Developer
Location: McLean, VA
Interview Type: MS Teams - Video Mandatory | In Person
Role 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).
• Knowledge of data visualization tools and techniques.
