ETL Data Engineer With Python :: Virginia ( Onsite ) :: Contract :: Only Local or Near by State Profile.

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Data Engineer with Python in McLean, VA, on a contract basis. Key skills include strong Python programming, proficiency in Pandas and NumPy, SQL experience, and data manipulation from various formats. Local candidates preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
August 12, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
On-site
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Virginia, United States
-
🧠 - Skills detailed
#Python #Data Accuracy #Data Extraction #Data Lake #Pandas #"ETL (Extract #Transform #Load)" #Scala #NumPy #Regression #SQL (Structured Query Language) #Data Manipulation #Programming #Data Engineering #SQL Queries
Role description
Position :- ETL Data Engineer With Python Location :- Mclean VA ( Onsite ) Type :- C2C / W2 Required Skills: β€’ Strong programming experience in python β€’ Proficiency in Pandas, NumPy and working with SQL queries. β€’ Experience in working with Data Lake and processing large volumes of data. β€’ Ability to parse and consolidate data from Excel, CSV and plain text formats. β€’ Hands on experience in writing unit tests, performing regression testing and implementing error/exception handling Key Responsibilities: β€’ Write effective python code for data extraction transformation and loading (ETL) β€’ perform data manipulation and analysis using pandas, NumPy and SQL β€’ work with structure and unstructured data sources (Excel, CSV text files) from a Data Lake environment. β€’ Implement robust error handing and exception handing in python scripts β€’ Develop and maintain unit test and regression test to ensure data accuracy .and code stability β€’ Collaborate with data engineers, analysis and business team to gather requirements and deliver data solutions. β€’ Optimize and refactor existing code for better performance and scalability.