Microsoft Generative AI NLP Data Engineer II 

United States, Georgia, Atlanta 

139422443

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering , or related field AND 2+ years experience in business analytics, data science, software development, data modeling or data engineering work

  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work

  • OR equivalent experience.

• Experience with Large Language Model Orchestration frameworks like SemanticKernel and LangChain
• Experience with Azure Cloud
• Experience with Web Scraping frameworks

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, JavaScript or TypeScript
  
  • OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, JavaScript or TypeScript
    
  • OR equivalent experience.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

for the role until June 21, 2024.

• Perform software development in Python, C#, SQL, and other languages as needed to build data-engineering pipelines
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
• Assists and learns about breaking down work items into tasks and provides estimation.
• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
• Apply good coding standards and patterns.