Python Data Engineer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2

Skills

Python
Data Lake
Data Extraction
Extract
Transform
Load
Data Manipulation
NumPy
Pandas
SQL

Job Details

Location: McLean, VA

Work Setting: Onsite

Key Responsibilities:

  • Write effective Python code for data extraction, transformation, and loading (ETL)

  • Perform data manipulation and analysis using Pandas, NumPy, and SQL

  • Work with structured and unstructured data sources (Excel, CSV, text files) from a Data Lake environment

  • Implement robust error handling and exception handling in Python scripts

  • Develop and maintain unit tests and regression tests to ensure data accuracy and code stability

  • Collaborate with data engineers, analysts, and business teams to gather requirements and deliver data solutions

  • Optimize and refactor existing code for better performance and scalability


Required Skills:

  • Strong programming experience in Python

  • Proficiency in Pandas, NumPy, and working with SQL queries

  • Experience working with Data Lakes and processing large volumes of data

  • Ability to parse and consolidate data from Excel, CSV, and plain text formats

  • Hands-on experience writing unit tests, performing regression testing, and implementing error/exception handling

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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